Lin Pan
Impact in
- Immunology top 10%
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Data Mining Algorithms and Applications 2
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- Imbalanced Data Classification Techniques 2
- Co-authors
- Carole Ober (7 shared papers)Mark Abney (2 shared papers)Lauren A. Weiss (2 shared papers)James E. Gern (4 shared papers)Dan L. Nicolae (4 shared papers)Robert F. Lemanske (4 shared papers)Zheng Tan (2 shared papers)Baiyan Cai (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Scientific Reports (1 paper)Nature Genetics (1 paper)Annals of Palliative Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Lin Pan
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 138
- Immunology 395
- Cancer Research 155
- Physiology 248
- Immunology and Allergy 57
- Genetics 262
Countries citing papers authored by Lin Pan
This map shows the geographic impact of Lin 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 Lin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Pan more than expected).
Fields of papers citing papers by Lin Pan
This network shows the impact of papers produced by Lin 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 Lin Pan. The network helps show where Lin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 372 | |
| 2 | 2007 | 311 | |
| 3 | 2006 | 310 | |
| 4 | 2023 | 84 | |
| 5 | 2016 | 65 | |
| 6 | 2009 | 42 | |
| 7 | 2007 | 28 | |
| 8 | 2011 | 26 | |
| 9 | 2007 | 22 | |
| 10 | 2006 | 18 | |
| 11 | 2017 | 15 | |
| 12 | 2020 | 10 | |
| 13 | 2012 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2008 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2020 | 5 | |
| 18 | 2025 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2017 | 2 |
About Lin Pan
Lin Pan is a scholar working on Information Systems, Artificial Intelligence, Immunology, Management Science and Operations Research and Physiology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Reproductive System and Pregnancy (3 papers), Asthma and respiratory diseases (2 papers), MicroRNA in disease regulation (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Imbalanced Data Classification Techniques (2 papers), Studies on Chitinases and Chitosanases (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Immunology (395 citations), Cancer Research (155 citations), Physiology (248 citations), Immunology and Allergy (57 citations) and Genetics (262 citations). Lin Pan has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Carole Ober, Mark Abney, Lauren A. Weiss, James E. Gern, Dan L. Nicolae, Robert F. Lemanske, Zheng Tan, Baiyan Cai, Jihua Fan and Glenn Randall. Their work appears in journals such as The American Journal of Human Genetics, Journal of Intelligent & Fuzzy Systems, Scientific Reports, Nature Genetics and Annals of Palliative Medicine.
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.