Igor Dozmorov
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- interferon and immune responses
- Immunodeficiency and Autoimmune Disorders
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
Papers in
- Immunology 45
- T-cell and B-cell Immunology 19
- Immune Cell Function and Interaction 16
- Immunotherapy and Immune Responses 9
- Immune Response and Inflammation 8
- Co-authors
- Michael CentolaNicholas KnowltonPhilip AlexEdward K. WakelandPéter SzodorayMark Barton FrankRichard A. MillerYuhong Tang
- Journals
- The Journal of Immunology (8 papers)PLoS ONE (6 papers)Nucleic Acids Research (4 papers)Lara D. Veeken (3 papers)Immunology Letters (2 papers)
- Partner nations
- United StatesRussiaNorway
In The Last Decade
Igor Dozmorov
95 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Immunology 1.1k
- Rheumatology 441
- Genetics 252
- Aging 39
- Cancer Research 298
Countries citing papers authored by Igor Dozmorov
This map shows the geographic impact of Igor Dozmorov'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 Igor Dozmorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Dozmorov more than expected).
Fields of papers citing papers by Igor Dozmorov
This network shows the impact of papers produced by Igor Dozmorov. 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 Igor Dozmorov. The network helps show where Igor Dozmorov may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Dozmorov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 50 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 35 | |
| 8 | 2017 | 18 | |
| 9 | 2017 | 132 | |
| 10 | 2016 | 20 | |
| 11 | 2011 | 129 | |
| 12 | 2010 | 175 | |
| 13 | 2008 | 21 | |
| 14 | 2007 | 30 | |
| 15 | 2005 | 12 | |
| 16 | 2005 | 14 | |
| 17 | 2003 | 27 | |
| 18 | 1995 | 7 | |
| 19 | 1995 | 5 | |
| 20 | 1989 | 45 |
About Igor Dozmorov
Igor Dozmorov is a scholar working on Immunology, Cancer Research, Rheumatology, Genetics and Molecular Biology, having authored 97 papers that have together received 2.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (16 papers), Gene expression and cancer classification (12 papers), Immunotherapy and Immune Responses (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Bioinformatics and Genomic Networks (8 papers), Immune Response and Inflammation (8 papers) and Systemic Lupus Erythematosus Research (7 papers). The work is most often cited by research in Immunology (1.1k citations), Rheumatology (441 citations), Genetics (252 citations), Aging (39 citations) and Cancer Research (298 citations). Igor Dozmorov has collaborated with scholars based in United States, Russia and Norway. Frequent co-authors include Michael Centola, Nicholas Knowlton, Philip Alex, Edward K. Wakeland, Péter Szodoray, Mark Barton Frank, Richard A. Miller, Yuhong Tang, Britt Nakken and James N. Jarvis. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Nucleic Acids Research, Lara D. Veeken and Immunology Letters.
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.