Tatyana Chernova
- Immunology top 0.2%
- Oncology top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Vincent LingMary CollinsGordon J. FreemanHiroyuki NishimuraTaku OkazakiMichael BowmanYoshiko IwaiAndrew J. Long
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Heme Oxygenase-1 and Carbon Monoxide (6 papers)T-cell and B-cell Immunology (5 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Tatyana Chernova
28 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Immunology 5.3k
- Oncology 4.1k
- Molecular Biology 1.6k
- Pulmonary and Respiratory Medicine 732
- Epidemiology 421
Countries citing papers authored by Tatyana Chernova
This map shows the geographic impact of Tatyana 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 Tatyana Chernova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatyana Chernova more than expected).
Fields of papers citing papers by Tatyana Chernova
This network shows the impact of papers produced by Tatyana 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 Tatyana Chernova. The network helps show where Tatyana Chernova may publish in the future.
Co-authorship network of co-authors of Tatyana Chernova
This figure shows the co-authorship network connecting the top 25 collaborators of Tatyana Chernova. A scholar is included among the top collaborators of Tatyana Chernova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tatyana Chernova. Tatyana Chernova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 83 | |
| 7 | 0 | |
| 8 | 234 | |
| 9 | 40 | |
| 10 | 23 | |
| 11 | 45 | |
| 12 | 18 | |
| 13 | 35 | |
| 14 | 171 | |
| 15 | 55 | |
| 16 | PD-L1-deficient mice show that PD-L1 on T cells, antigen-presenting cells, and host tissues negatively regulates T cellsbreakdown → | 521 |
| 17 | Th1-specific cell surface protein Tim-3 regulates macrophage activation and severity of an autoimmune diseasebreakdown → | 1352 |
| 18 | ICOS is critical for CD40-mediated antibody class switchingbreakdown → | 526 |
| 19 | 353 | |
| 20 | Engagement of the Pd-1 Immunoinhibitory Receptor by a Novel B7 Family Member Leads to Negative Regulation of Lymphocyte Activationbreakdown → | 4158 |
About Tatyana Chernova
Tatyana Chernova is a scholar working on Neurology, Immunology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 8.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (5.3k citations), Oncology (4.1k citations) and Biological Psychiatry (68 citations). Tatyana Chernova has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Vincent Ling, Mary Collins, Gordon J. Freeman, Hiroyuki Nishimura, Taku Okazaki, Michael Bowman, Yoshiko Iwai, Andrew J. Long, Beatriz M. Carreno and Lori Fitz. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.