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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- COVID-19 Clinical Research Studies 2
- Co-authors
- Alexis J. Combes (1 shared paper)Matthew F. Krummel (1 shared paper)Rémy Char (1 shared paper)Evelina Gatti (1 shared paper)Rafael J. Argüello (1 shared paper)Philippe Pierre (1 shared paper)Jessica Tsui (1 shared paper)Bushra Samad (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)Molecular Cancer Therapeutics (1 paper)Cell Metabolism (1 paper)International Journal of COPD (1 paper)The Ultrasound Journal (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Peter Yan
9 papers receiving 364 citations
Peter Yan's Hit Papers
Peers
Comparison fields: 5 of 76
- Immunology 179
- Cancer Research 47
- Health Informatics 4
- Critical Care and Intensive Care Medicine 15
- Molecular Biology 153
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 | 278 |
| 2 | 2016 | 28 | |
| 3 | 2022 | 20 | |
| 4 | 2017 | 15 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 1 |
About Peter Yan
Peter Yan is a scholar working on Cancer Research, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Respiratory Support and Mechanisms (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Sepsis Diagnosis and Treatment (2 papers), Single-cell and spatial transcriptomics (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (179 citations), Cancer Research (47 citations), Health Informatics (4 citations), Critical Care and Intensive Care Medicine (15 citations) and Molecular Biology (153 citations). Peter Yan has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Alexis J. Combes, Matthew F. Krummel, Rémy Char, Evelina Gatti, Rafael J. Argüello, Philippe Pierre, Jessica Tsui, Bushra Samad, Daniel K. Nomura and Lindsay S. Roberts. Their work appears in journals such as ACS Chemical Biology, Molecular Cancer Therapeutics, Cell Metabolism, International Journal of COPD and The Ultrasound Journal.
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.