Peter Yan
Impact in
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- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Cancer, Hypoxia, and Metabolism 2
- Cancer Genomics and Diagnostics 1
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- Glycosylation and Glycoproteins Research 1
- Co-authors
- Evelina Gatti (1 shared paper)Rafael J. Argüello (1 shared paper)Émeline Tabouret (1 shared paper)Matthew F. Krummel (1 shared paper)Philippe Pierre (1 shared paper)Bushra Samad (1 shared paper)Jessica Tsui (1 shared paper)Rémy Char (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 StatesPortugalCanada
In The Last Decade
Peter Yan
8 papers receiving 395 citations
Peter Yan's Hit Papers
Peers
Comparison fields: 5 of 67
- Immunology 180
- Cancer Research 42
- Critical Care and Intensive Care Medicine 11
- Molecular Biology 143
- Hematology 19
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 | 306 |
| 2 | 2016 | 31 | |
| 3 | 2022 | 21 | |
| 4 | 2017 | 15 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 3 |
About Peter Yan
Peter Yan is a scholar working on Cancer Research, Molecular Biology, Surgery, Pharmacology and Pathology and Forensic Medicine, having authored 8 papers that have together received 396 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Cannabis and Cannabinoid Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (180 citations), Cancer Research (42 citations), Critical Care and Intensive Care Medicine (11 citations), Molecular Biology (143 citations) and Hematology (19 citations). Peter Yan has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Evelina Gatti, Rafael J. Argüello, Émeline Tabouret, Matthew F. Krummel, Philippe Pierre, Bushra Samad, Jessica Tsui, Rémy Char, Sébastien Boissonneau and Voahirana Camosseto. 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.