Peter Yan
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
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- Cancer Immunotherapy and Biomarkers
Papers in
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- COVID-19 Clinical Research Studies 3
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- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Sébastien Boissonneau (1 shared paper)Bushra Samad (1 shared paper)Philippe Pierre (1 shared paper)Voahirana Camosseto (1 shared paper)Rémy Char (1 shared paper)Julien Paul Gigan (1 shared paper)Émeline Tabouret (1 shared paper)Dominique F. Figarella-Branger (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)The Ultrasound Journal (1 paper)Molecular Cancer Therapeutics (1 paper)Cell Metabolism (1 paper)International Journal of COPD (1 paper)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
Peter Yan
9 papers receiving 603 citations
Peter Yan's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 250
- Oncology 112
- Cancer Research 63
- Critical Care and Intensive Care Medicine 14
- Health Informatics 7
Countries citing papers authored by Peter Yan
This map shows the geographic impact of Peter Yan'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 Peter Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Yan more than expected).
Fields of papers citing papers by Peter Yan
This network shows the impact of papers produced by Peter Yan. 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 Peter Yan. The network helps show where Peter Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Yan, 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 | SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution Hit paper breakdown → | 2020 | 390 |
| 2 | 2021 | 121 | |
| 3 | 2016 | 33 | |
| 4 | 2022 | 27 | |
| 5 | 2017 | 17 | |
| 6 | 2020 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 3 |
About Peter Yan
Peter Yan is a scholar working on Infectious Diseases, Cancer Research, Critical Care and Intensive Care Medicine, Genetics and Molecular Biology, having authored 9 papers that have together received 613 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Cancer, Hypoxia, and Metabolism (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Ultrasound in Clinical Applications (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Immune cells in cancer (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (250 citations), Oncology (112 citations), Cancer Research (63 citations), Critical Care and Intensive Care Medicine (14 citations) and Health Informatics (7 citations). Peter Yan has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Sébastien Boissonneau, Bushra Samad, Philippe Pierre, Voahirana Camosseto, Rémy Char, Julien Paul Gigan, Émeline Tabouret, Dominique F. Figarella-Branger, Alexis J. Combes and Rafael José Argüello. Their work appears in journals such as ACS Chemical Biology, The Ultrasound Journal, Molecular Cancer Therapeutics, Cell Metabolism and International Journal of COPD.
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.