Yakov Datsenko

818 citations
11 papers · 627 · 1 hit paper · h-index 9

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Spondyloarthritis Studies and Treatments
    • Rheumatoid Arthritis Research and Therapies

Papers in

Yakov Datsenko

11 papers receiving 616 citations

Yakov Datsenko's Hit Papers

Risankizumab, an IL-23 inhibitor, for ankylosing spondylitis: results of a randomised, double-blind, placebo-controlled, proof-of-concept, dose-finding phase 2 study 2018 · 293 citations
2930+2+5Years since publication50100150200250

Peers

Yakov Datsenko
Comparison fields: 5 of 33
  • Hepatology 254
  • Rheumatology 280
  • Immunology 238
  • Hematology 115
  • Dermatology 52
Replace M.G. Ercilla with:
M.G. Ercilla Spain
Marta Caprioli Italy
Anan Judina Bastiampillai Italy
NE Traub United Kingdom
Fibo J. ten Kate Netherlands
Masashi Takebayashi Japan
Andrew de la Torre United States
Doerthe Eckert United States
Jacqueline So China
Ricardo Moreno-Otero Spain
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Citations per field
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M.G. Ercilla · 1×
Citations per year

Countries citing papers authored by Yakov Datsenko

Since Specialization
Citations

This map shows the geographic impact of Yakov Datsenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yakov Datsenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yakov Datsenko more than expected).

Fields of papers citing papers by Yakov Datsenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yakov Datsenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yakov Datsenko. The network helps show where Yakov Datsenko may publish in the future.

Co-authors

The 25 scholars most cited alongside Yakov Datsenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yakov Datsenko Line = papers co-authored together Yakov Datsenko links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Risankizumab, an IL-23 inhibitor, for ankylosing spondylitis: results of a randomised, double-blind, placebo-controlled, proof-of-concept, dose-finding phase 2 study
Hit paper breakdown →
2018293
2 201391
3 202168
4 201362
5 201329
6 201129
7 201125
8 201015
9 201410
10 20124
11 20231

About Yakov Datsenko

Yakov Datsenko is a scholar working on Hepatology, Immunology, Genetics, Epidemiology and Rheumatology, having authored 11 papers that have together received 627 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hepatitis B Virus Studies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Spondyloarthritis Studies and Treatments (1 paper), HIV/AIDS drug development and treatment (1 paper), Ethics in Clinical Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Hepatology (254 citations), Rheumatology (280 citations), Immunology (238 citations), Hematology (115 citations) and Dermatology (52 citations). Yakov Datsenko has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Steven J. Padula, Pentti A. Järvinen, Sudha Visvanathan, Alan M. Solinger, Dominique Baeten, Tae‐Hwan Kim, Lai‐Shan Tam, Chandrasena Pamulapati, David B. Hall and Mikkel Østergaard. Their work appears in journals such as Journal of Hepatology, Hepatology, Antimicrobial Agents and Chemotherapy, Dermatology and Therapy and BMJ Open.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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