Irene Chernova
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Phagocytosis and Immune Regulation
- Immunotherapy and Immune Responses
- Galectins and Cancer Biology
- Immune cells in cancer
- Complement system in diseases
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- Erythrocyte Function and Pathophysiology
Papers in
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- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
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- Ubiquitin and proteasome pathways 1
- Co-authors
- David Allman (4 shared papers)Alexandra Bortnick (4 shared papers)Piia Karisola (1 shared paper)Victor Peña‐Cruz (1 shared paper)Norimoto Kobayashi (1 shared paper)David M. Dorfman (1 shared paper)Haruo Nagumo (1 shared paper)Baogong Zhu (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Immunity (2 papers)Journal of Leukocyte Biology (1 paper)Journal of Clinical Investigation (1 paper)Blood (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Irene Chernova
13 papers receiving 1.0k citations
Irene Chernova's Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 750
- Physiology 121
- Physiology 23
- Neurology 38
- Hematology 48
Countries citing papers authored by Irene Chernova
This map shows the geographic impact of Irene Chernova'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 Irene Chernova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Chernova more than expected).
Fields of papers citing papers by Irene Chernova
This network shows the impact of papers produced by Irene Chernova. 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 Irene Chernova. The network helps show where Irene Chernova may publish in the future.
Co-authors
The 25 scholars most cited alongside Irene Chernova, 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 | TIM-1 and TIM-4 Glycoproteins Bind Phosphatidylserine and Mediate Uptake of Apoptotic Cells Hit paper breakdown → | 2007 | 529 |
| 2 | 2016 | 126 | |
| 3 | 2012 | 93 | |
| 4 | 2022 | 86 | |
| 5 | 2008 | 60 | |
| 6 | 2014 | 49 | |
| 7 | 2018 | 34 | |
| 8 | 2023 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2006 | 3 |
About Irene Chernova
Irene Chernova is a scholar working on Immunology, Molecular Biology, Oncology, Rheumatology and Hematology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (3 papers), Sodium Intake and Health (2 papers), Diabetes and associated disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper), Platelet Disorders and Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology (750 citations), Physiology (121 citations), Physiology (23 citations), Neurology (38 citations) and Hematology (48 citations). Irene Chernova has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include David Allman, Alexandra Bortnick, Piia Karisola, Victor Peña‐Cruz, Norimoto Kobayashi, David M. Dorfman, Haruo Nagumo, Baogong Zhu, Arlene H. Sharpe and Gerardo Kaplan. Their work appears in journals such as The Journal of Immunology, Immunity, Journal of Leukocyte Biology, Journal of Clinical Investigation and Blood.
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.