Calvin Pan
Impact in
- Biological Psychiatry top 5%
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 7
- Gut microbiota and health 7
- Epigenetics and DNA Methylation 6
- RNA Research and Splicing 5
- Physiology 19
- Adipose Tissue and Metabolism 12
- Co-authors
- Aldons J. Lusis (58 shared papers)Eleazar Eskin (10 shared papers)Nam Che (8 shared papers)Margarete Mehrabian (7 shared papers)Brian W. Parks (7 shared papers)Brian J. Bennett (6 shared papers)Sarada Charugundla (7 shared papers)Simon T. Hui (10 shared papers)
- Journals
- Journal of Lipid Research (8 papers)Nature Communications (5 papers)PLoS Genetics (3 papers)eLife (3 papers)Cell Metabolism (2 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Calvin Pan
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biological Psychiatry 82
- Physiology 728
- Molecular Biology 1.7k
- Immunology 427
- Genetics 538
Countries citing papers authored by Calvin Pan
This map shows the geographic impact of Calvin Pan'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 Calvin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calvin Pan more than expected).
Fields of papers citing papers by Calvin Pan
This network shows the impact of papers produced by Calvin Pan. 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 Calvin Pan. The network helps show where Calvin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Calvin Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 269 | |
| 2 | 2015 | 245 | |
| 3 | 2016 | 209 | |
| 4 | 2016 | 143 | |
| 5 | 2020 | 116 | |
| 6 | 2018 | 106 | |
| 7 | 2016 | 102 | |
| 8 | 2011 | 102 | |
| 9 | 2015 | 100 | |
| 10 | 2012 | 98 | |
| 11 | 2017 | 88 | |
| 12 | 2018 | 85 | |
| 13 | 2022 | 83 | |
| 14 | 2019 | 79 | |
| 15 | 2015 | 79 | |
| 16 | 2013 | 67 | |
| 17 | Indole-3-Propionic Acid Protects Against Heart Failure With Preserved Ejection Fraction Hit paper breakdown → | 2024 | 63 |
| 18 | 2015 | 62 | |
| 19 | 2013 | 61 | |
| 20 | 2018 | 61 |
About Calvin Pan
Calvin Pan is a scholar working on Molecular Biology, Physiology, Genetics, Epidemiology and Immunology, having authored 72 papers that have together received 3.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Gut microbiota and health (7 papers), Epigenetics and DNA Methylation (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Physiology (728 citations), Molecular Biology (1.7k citations), Immunology (427 citations) and Genetics (538 citations). Calvin Pan has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Aldons J. Lusis, Eleazar Eskin, Nam Che, Margarete Mehrabian, Brian W. Parks, Brian J. Bennett, Sarada Charugundla, Simon T. Hui, Frode Norheim and Mete Civelek. Their work appears in journals such as Journal of Lipid Research, Nature Communications, PLoS Genetics, eLife and Cell Metabolism.
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.