Igor Kramnik
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 40
- Immunology top 2%
- interferon and immune responses 12
- Immune Response and Inflammation 10
- Immunodeficiency and Autoimmune Disorders 3
- Epidemiology top 1%
- Mycobacterium research and diagnosis 25
- Molecular Medicine top 5%
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches 3
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- Cytokine Signaling Pathways and Interactions 15
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- Diagnosis and treatment of tuberculosis 3
- Co-authors
- Bo‐Shiun YanBarry R. BloomPeter DémantGillian BeamerWilliam F. DietrichLester KobzikAlexander PichuginEmil Skamene
- Journals
- The Journal of Immunology (4 papers)PLoS Pathogens (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Igor Kramnik
60 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 2.2k
- Immunology 1.2k
- Epidemiology 1.7k
- Molecular Medicine 100
- Molecular Biology 990
Countries citing papers authored by Igor Kramnik
This map shows the geographic impact of Igor Kramnik'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 Kramnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Kramnik more than expected).
Fields of papers citing papers by Igor Kramnik
This network shows the impact of papers produced by Igor Kramnik. 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 Kramnik. The network helps show where Igor Kramnik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Igor Kramnik, 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 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 109 | |
| 8 | 2017 | 33 | |
| 9 | 2017 | 21 | |
| 10 | 2016 | 12 | |
| 11 | 2012 | 82 | |
| 12 | 2012 | 125 | |
| 13 | 2012 | 88 | |
| 14 | 2011 | 183 | |
| 15 | 2008 | 22 | |
| 16 | 2007 | 41 | |
| 17 | 2006 | 42 | |
| 18 | 2005 | 101 | |
| 19 | 2004 | 29 | |
| 20 | 1997 | 14 |
About Igor Kramnik
Igor Kramnik is a scholar working on Infectious Diseases, Immunology and Microbiology, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (40 papers), Mycobacterium research and diagnosis (25 papers), Cytokine Signaling Pathways and Interactions (15 papers), interferon and immune responses (12 papers), Immune Response and Inflammation (10 papers), vaccines and immunoinformatics approaches (3 papers), Diagnosis and treatment of tuberculosis (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Immunology (1.2k citations) and Epidemiology (1.7k citations). Igor Kramnik has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Bo‐Shiun Yan, Barry R. Bloom, Peter Démant, Gillian Beamer, William F. Dietrich, Lester Kobzik, Alexander Pichugin, Emil Skamene, Yuriy V. Shebzukhov and Mark J. Daly. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Clinical Investigation.
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.