Dmitriy Kolodin
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- IL-33, ST2, and ILC Pathways 2
- Atherosclerosis and Cardiovascular Diseases 1
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- Protist diversity and phylogeny 1
- Co-authors
- Diane Mathis (4 shared papers)Christophe Benoıst (4 shared papers)Amy J. Wagers (2 shared papers)Esen Sefik (1 shared paper)Wilson Kuswanto (1 shared paper)Jennifer L. Shadrach (1 shared paper)Tze Guan Tan (1 shared paper)Dalia Burzyn (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)Seminars in Immunology (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Dmitriy Kolodin
6 papers receiving 1.7k citations
Dmitriy Kolodin's Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.1k
- Rehabilitation 133
- Genetics 97
- Physiology 178
- Epidemiology 213
Countries citing papers authored by Dmitriy Kolodin
This map shows the geographic impact of Dmitriy Kolodin'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 Dmitriy Kolodin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Kolodin more than expected).
Fields of papers citing papers by Dmitriy Kolodin
This network shows the impact of papers produced by Dmitriy Kolodin. 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 Dmitriy Kolodin. The network helps show where Dmitriy Kolodin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitriy Kolodin, 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 | A Special Population of Regulatory T Cells Potentiates Muscle Repair Hit paper breakdown → | 2013 | 932 |
| 2 | 2015 | 326 | |
| 3 | 2015 | 295 | |
| 4 | 2011 | 105 | |
| 5 | 2012 | 36 | |
| 6 | 2014 | 10 |
About Dmitriy Kolodin
Dmitriy Kolodin is a scholar working on Immunology, Molecular Biology, Rehabilitation, Epidemiology and Biomaterials, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Diabetes and associated disorders (1 paper), Protist diversity and phylogeny (1 paper) and Exercise and Physiological Responses (1 paper). The work is most often cited by research in Immunology (1.1k citations), Rehabilitation (133 citations), Genetics (97 citations), Physiology (178 citations) and Epidemiology (213 citations). Dmitriy Kolodin has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Diane Mathis, Christophe Benoıst, Amy J. Wagers, Esen Sefik, Wilson Kuswanto, Jennifer L. Shadrach, Tze Guan Tan, Dalia Burzyn, Young C. Jang and Massimiliano Cerletti. Their work appears in journals such as Clinical Cancer Research, Proceedings of the National Academy of Sciences, Science, Seminars in Immunology and Cell.
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.