Michail Schizas
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Biological Psychiatry top 10%
Papers in
- Immunology 11
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 4
- Immune Response and Inflammation 3
- IL-33, ST2, and ILC Pathways 2
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- Breast Cancer Treatment Studies 4
- Cancer Genomics and Diagnostics 3
- Co-authors
- Alexander Y. Rudensky (11 shared papers)Jacob Verter (3 shared papers)Clarissa Campbell (3 shared papers)Saskia Hemmers (5 shared papers)Chun‐Jun Guo (1 shared paper)Wen‐Bing Jin (1 shared paper)Krishna Kadaveru (1 shared paper)John Hambor (1 shared paper)
- Journals
- The Journal of Experimental Medicine (5 papers)Molecular Oncology (2 papers)Nature (2 papers)Clinical Cancer Research (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesRussiaBrazil
In The Last Decade
Michail Schizas
17 papers receiving 1.4k citations
Michail Schizas's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 623
- Biological Psychiatry 44
- Oncology 361
- Cancer Research 180
- Molecular Biology 531
Countries citing papers authored by Michail Schizas
This map shows the geographic impact of Michail Schizas'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 Michail Schizas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michail Schizas more than expected).
Fields of papers citing papers by Michail Schizas
This network shows the impact of papers produced by Michail Schizas. 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 Michail Schizas. The network helps show where Michail Schizas may publish in the future.
Co-authors
The 25 scholars most cited alongside Michail Schizas, 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 | Bacterial metabolism of bile acids promotes generation of peripheral regulatory T cells Hit paper breakdown → | 2020 | 598 |
| 2 | 2017 | 284 | |
| 3 | 2019 | 66 | |
| 4 | 2014 | 61 | |
| 5 | 2021 | 59 | |
| 6 | 2022 | 52 | |
| 7 | 2020 | 45 | |
| 8 | 2018 | 39 | |
| 9 | 2017 | 35 | |
| 10 | 2015 | 31 | |
| 11 | 2017 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2014 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 20 | |
| 17 | 2024 | 3 |
About Michail Schizas
Michail Schizas is a scholar working on Immunology, Cancer Research, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers), Breast Cancer Treatment Studies (4 papers), Immunotherapy and Immune Responses (4 papers), Breast Lesions and Carcinomas (4 papers), Cancer Genomics and Diagnostics (3 papers), Immune Response and Inflammation (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (623 citations), Biological Psychiatry (44 citations), Oncology (361 citations), Cancer Research (180 citations) and Molecular Biology (531 citations). Michail Schizas has collaborated with scholars based in United States, Russia and Brazil. Frequent co-authors include Alexander Y. Rudensky, Jacob Verter, Clarissa Campbell, Saskia Hemmers, Chun‐Jun Guo, Wen‐Bing Jin, Krishna Kadaveru, John Hambor, Sara Violante and Rúben J. Ramos. Their work appears in journals such as The Journal of Experimental Medicine, Molecular Oncology, Nature, Clinical Cancer Research and Science Immunology.
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.