Oleg Sofrygin

1.6k citations
50 papers · 845 · h-index 17

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Iron Metabolism and Disorders

Papers in

    • Advanced Causal Inference Techniques 7
    • Statistical Methods and Inference 7
    • Statistical Methods and Bayesian Inference 5
    • Hemoglobinopathies and Related Disorders 7

Oleg Sofrygin

48 papers receiving 820 citations

Peers

Oleg Sofrygin
Comparison fields: 5 of 106
  • Genetics 219
  • Hematology 148
  • Statistics and Probability 107
  • Health Informatics 8
  • Rheumatology 73
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Citations per field
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Citations per year

Countries citing papers authored by Oleg Sofrygin

Since Specialization
Citations

This map shows the geographic impact of Oleg Sofrygin'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 Oleg Sofrygin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Sofrygin more than expected).

Fields of papers citing papers by Oleg Sofrygin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oleg Sofrygin. 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 Oleg Sofrygin. The network helps show where Oleg Sofrygin may publish in the future.

Co-authors

The 25 scholars most cited alongside Oleg Sofrygin, 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 Oleg Sofrygin Line = papers co-authored together Oleg Sofrygin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007152
2 200770
3 201344
4
Cost-effectiveness of abatacept in patients with moderately to severely active rheumatoid arthritis and inadequate response to tumor necrosis factor-alpha antagonists.
200843
5 200739
6 202236
7 201632
8 200731
9 201827
10 202027
11 200724
12 201723
13 201122
14
Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting
201822
15 201820
16 200919
17 200918
18 201714
19 200614
20 201813

About Oleg Sofrygin

Oleg Sofrygin is a scholar working on Statistics and Probability, Genetics, Oncology, Pulmonary and Respiratory Medicine and Statistical and Nonlinear Physics, having authored 50 papers that have together received 845 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (7 papers), Statistical Methods and Inference (7 papers), Hemoglobinopathies and Related Disorders (7 papers), Statistical Methods and Bayesian Inference (5 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Iron Metabolism and Disorders (3 papers) and Food Security and Health in Diverse Populations (3 papers). The work is most often cited by research in Genetics (219 citations), Hematology (148 citations), Statistics and Probability (107 citations), Health Informatics (8 citations) and Rheumatology (73 citations). Oleg Sofrygin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas E. Delea, Mark J. van der Laan, Simu K. Thomas, Pradyumna D. Phatak, Jean‐François Baladi, Thomas D. Coates, John Edelsberg, Kara E. Rudolph, Jonathan Karnon and Gerry Oster. Their work appears in journals such as Blood, Journal of Clinical Oncology, Value in Health, Journal of the American Statistical Association and The European Journal of Health Economics.

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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