Michael Pan
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
-
- COVID-19 Clinical Research Studies 6
-
- Long-Term Effects of COVID-19 5
- Co-authors
- Jason R. Kovac (4 shared papers)Larry I. Lipshultz (2 shared papers)E. Will Kirby (1 shared paper)Yvonne M. Saenger (4 shared papers)Sebastian Bernardo (4 shared papers)Марина Москаленко (2 shared papers)Rui Chang (1 shared paper)Philip Friedlander (1 shared paper)
- Journals
- Journal of the American College of Cardiology (3 papers)Circulation (2 papers)American Journal of Men s Health (2 papers)Proceedings of the VLDB Endowment (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Michael Pan
27 papers receiving 283 citations
Peers
Comparison fields: 5 of 92
- Reproductive Medicine 50
- Applied Psychology 15
- Endocrinology, Diabetes and Metabolism 41
- Oncology 57
- Immunology 42
Countries citing papers authored by Michael Pan
This map shows the geographic impact of Michael 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 Michael Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pan more than expected).
Fields of papers citing papers by Michael Pan
This network shows the impact of papers produced by Michael 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 Michael Pan. The network helps show where Michael Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2012 | 43 | |
| 3 | 2017 | 23 | |
| 4 | 2016 | 23 | |
| 5 | 2022 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2014 | 17 | |
| 9 | 2023 | 12 | |
| 10 | 2015 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2015 | 6 | |
| 15 | 2015 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2021 | 2 | |
| 19 | Urea: a comprehensive review of the clinical literature - eScholarship | 2013 | 1 |
| 20 | 2021 | 1 |
About Michael Pan
Michael Pan is a scholar working on Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine, Epidemiology and Dermatology, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers), Immunotherapy and Immune Responses (4 papers), Hormonal and reproductive studies (4 papers), Allergic Rhinitis and Sensitization (2 papers), Skin Protection and Aging (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Ureteral procedures and complications (2 papers). The work is most often cited by research in Reproductive Medicine (50 citations), Applied Psychology (15 citations), Endocrinology, Diabetes and Metabolism (41 citations), Oncology (57 citations) and Immunology (42 citations). Michael Pan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jason R. Kovac, Larry I. Lipshultz, E. Will Kirby, Yvonne M. Saenger, Sebastian Bernardo, Марина Москаленко, Rui Chang, Philip Friedlander, Shawn M. Arent and Niv Dayan. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, American Journal of Men s Health, Proceedings of the VLDB Endowment and Cancer Research.
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.