Stanislav Grabovskii | Statistical Analysis | Research Excellence Award

Dr. Stanislav Grabovskii | Statistical Analysis | Research Excellence Award

Ufa Institute of Chemistry of the Russian Academy of Sciences | Russia

Dr. Stanislav Grabovskii is a physical organic chemist with 27+ years of experience advancing biomedical chemistry, tissue regeneration, redox biology, and lipidomics. He holds a PhD in Physical Chemistry and an MBA in Science, with extensive international research experience. His work integrates kinetic analysis, computational modeling, and experimental biochemistry, resulting in a patented bioactive compound for skin, nerve, and bone repair and widely cited lipidomic standards. He has authored 78 documents with over 415 citations, an h-index of 12, and leads funded national and international projects. His research supports molecular diagnostics, disease prevention, and translational biomedical innovation.

Citation Metrics (Scopus)

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415

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Featured Publications

Lan Xie | COVID-19 Analysis | Research Excellence Award

Assoc. Prof. Dr. Lan Xie | COVID-19 Analysis | Research Excellence Award

Tsinghua University | China

Assoc. Prof. Dr. Lan Xie is a leading researcher in drug discovery and traditional Chinese medicine (TCM) integration with modern biomedical technologies. She earned her M.D. in Clinical Medicine from Peking University and a Ph.D. in Biology from Tsinghua University. Dr. Xie completed postdoctoral training at Tsinghua University and a visiting scholar program at the University of Pittsburgh. She has held faculty positions at Tsinghua University since 2014, currently serving as Associate Professor at the School of Basic Medical Sciences. Her research focuses on combining TCM with systems biology, multi-omics, and artificial intelligence to develop novel therapeutic strategies. She pioneered the Molecular Materia Medica database and an intelligent TCM formulation algorithm leveraging gene expression profiles and dysregulated disease pathways. Her work has been recognized with numerous awards, including the Huaxia Medical Science and Technology Award, International Award for Contribution to Chinese Medicine, and multiple Tsinghua University teaching excellence awards. Dr. Xie’s research achievements encompass high-throughput TCM bioactive component screening, single-cell omics-based mechanistic studies, and pathway-guided intelligent drug formulation. With 1,716 citations by 47 documents, 47 publications, and an h-index of 24, her contributions continue to advance modern medicine by bridging traditional knowledge and cutting-edge technology.

Profile : Scopus

Featured Publications

“A universal gene expression signature-based strategy for the high-throughput discovery of anti-inflammatory drugs.” Inflammation Research. 2025.

“Identification of the fruit of Brucea javanica as an anti-liver fibrosis agent working via SMAD2/SMAD3 and JAK1/STAT3 signaling pathways.” Journal of Pharmaceutical Analysis. 2025.

“Pulsatilla chinensis functions as a novel antihyperlipidemic agent by upregulating LDLR in an ERK-dependent manner.” Chinese Medicine United Kingdom. 2024.

“Mechanism study of Xiaoyao San against nonalcoholic steatohepatitis-related liver fibrosis based on a combined strategy of transcriptome analysis and network pharmacology.” Pharmaceuticals. 2024.

Gleb Sychugov |  Healthcare Data Analysis | Best Researcher Award

Assoc. Prof. Dr. Gleb Sychugov |  Healthcare Data Analysis | Best Researcher Award

Southern Urals Federal Research and Clinical Center for Medical Biophysics | Russia

Assoc. Prof. Dr. Gleb Sychugov is a distinguished pathologist and medical researcher with a Ph.D. in Medicine and the highest qualification category in pathology. He serves as Deputy Chief Physician at the Chelyabinsk Regional Pathological Anatomy Bureau, Associate Professor at South Ural State Medical University, and Senior Research Fellow at the Southern Urals Federal Research and Clinical Center for Medical Biophysics (SUFRCC MB). With over 190 scientific publications, including 25 in Scopus-indexed journals and 4 patents, Dr. Sychugov has made pioneering contributions to radiation pathology, pulmonary pathology, reproductive system pathology, oncology, and dermatopathology. His research innovations include patented diagnostic algorithms for cervical intraepithelial neoplasia and mucinous ovarian carcinoma, as well as computational models for predicting dermal changes in anti-aging therapy. As Chief Pathologist of the Chelyabinsk Region and the Ural Federal District, he has led multiple regional and federal initiatives in pathology standardization. He actively collaborates in international epidemiological programs and serves on the Presidium of the Russian Society of Pathologists. With Scopus h-index 25, Web of Science h-index 4, and more than 55 citations, Dr. Sychugov continues to advance diagnostic pathology through evidence-based research, mentorship, and innovation, embodying excellence in translational medical science.

Profiles : Orcid | Scopus

Featured Publications

Gogoleva, D. V., & Sychugov, G. V. (2023). Immunohistochemistry of bone marrow extracellular matrix in Ph-negative myeloproliferative diseases. Ural Medical Journal.

Shamanova, A. Yu., Rostovtsev, D. M., Privalov, A. V., Yarina, L. V., Aristarkhova, K. S., Sychugov, G. V., Vasil’kova, I. V., Artem’eva, A. S., Saevets, V. V., & Alymov, E. A. (2023). Undifferentiated pancreatic carcinoma with osteoclast-like giant cells. Russian Journal of Archive of Pathology.

Sychugov, G. V., Kazachkov, E. L., Osovets, S. V., Grigoryeva, E. S., Sychugov, A. G., & Azizova, T. V. (2022). Leukemia inhibitory factor and cellular renewal in various types of pulmonary fibrosis in plutonium production workers. Biology Bulletin.

Zhuntova, G. V., Azizova, T. V., Bannikova, M. V., & Sychugov, G. V. (2022). Characteristics of malignant neoplasms of the hepatobiliary system in the cohort of occupationally-exposed workers. Ural Medical Journal.

Gogoleva, D., & Sychugov, G. (2021). Matrix metalloproteinases and their inhibitors in JAK2-mutated myeloproliferative neoplasms. Virchows Archiv. WOSUID: WOS:000692384500404