Yakov Datsenko

799 citations
11 papers · 600 · h-index 9

Impact in

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

Papers in

    • Hepatitis C virus research 6
    • Liver Disease and Transplantation 1
    • Hepatitis B Virus Studies 3
    • Liver Disease Diagnosis and Treatment 3

Yakov Datsenko

10 papers receiving 591 citations

Peers

Yakov Datsenko
Comparison fields: 5 of 35
  • Hepatology 248
  • Rheumatology 281
  • Immunology 281
  • Hematology 141
  • Dermatology 76
Replace Marta Caprioli with:
Marta Caprioli Italy
M.G. Ercilla Spain
Juan S. Lasa Argentina
NE Traub United Kingdom
Masashi Takebayashi Japan
Tomáš Vaňásek Czechia
Timothy E. Ritter United States
Andrew de la Torre United States
Fibo J. ten Kate Netherlands
Maria Weidinger Germany
Yakov Datsenko relative to Marta Caprioli Italy Marta Caprioli's profile →
Citations per field
00.5×6.0×
Marta Caprioli · 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 2018279
2 201386
3 202166
4 201360
5 201329
6 201128
7 201125
8 201014
9 20149
10 20124
11 20230

About Yakov Datsenko

Yakov Datsenko is a scholar working on Hepatology, Epidemiology, Rheumatology, Immunology and Genetics, having authored 11 papers that have together received 600 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Contact Dermatitis and Allergies (1 paper), Liver Disease and Transplantation (1 paper) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Hepatology (248 citations), Rheumatology (281 citations), Immunology (281 citations), Hematology (141 citations) and Dermatology (76 citations). Yakov Datsenko has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Steven J. Padula, Dominique Baeten, James Cheng‐Chung Wei, Lai‐Shan Tam, Sudha Visvanathan, Mikkel Østergaard, Pentti A. Järvinen, Chandrasena Pamulapati, Joachim Sieper and Stella Aslanyan. 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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