Weiyun Pan
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 1
- S100 Proteins and Annexins 1
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- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Na Wei (4 shared papers)Hui Wu (2 shared papers)Ao Zhang (1 shared paper)Juan Lv (1 shared paper)Ye Du (1 shared paper)Weiling Xu (1 shared paper)Gang Wang (2 shared papers)Na Li (1 shared paper)
- Journals
- Aging (2 papers)Oxidative Medicine and Cellular Longevity (1 paper)Computer Methods and Programs in Biomedicine (1 paper)International Immunopharmacology (1 paper)Genomics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Weiyun Pan
12 papers receiving 255 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 13
- Cancer Research 88
- Pharmacology 14
- Molecular Biology 102
- Pulmonary and Respiratory Medicine 42
Countries citing papers authored by Weiyun Pan
This map shows the geographic impact of Weiyun 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 Weiyun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyun Pan more than expected).
Fields of papers citing papers by Weiyun Pan
This network shows the impact of papers produced by Weiyun 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 Weiyun Pan. The network helps show where Weiyun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiyun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2023 | 41 | |
| 3 | 2020 | 39 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 28 | |
| 6 | Contactin 1 as a potential biomarker promotes cell proliferation and invasion in thyroid cancer. | 2015 | 16 |
| 7 | 2022 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 |
About Weiyun Pan
Weiyun Pan is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Ubiquitin and proteasome pathways (1 paper), S100 Proteins and Annexins (1 paper), Liver Disease and Transplantation (1 paper), Cassava research and cyanide (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Health Informatics (13 citations), Cancer Research (88 citations), Pharmacology (14 citations), Molecular Biology (102 citations) and Pulmonary and Respiratory Medicine (42 citations). Weiyun Pan has collaborated with scholars based in China and United States. Frequent co-authors include Na Wei, Hui Wu, Ao Zhang, Juan Lv, Ye Du, Weiling Xu, Gang Wang, Na Li, Fangchao Gong and Yizhuo Wang. Their work appears in journals such as Aging, Oxidative Medicine and Cellular Longevity, Computer Methods and Programs in Biomedicine, International Immunopharmacology and Genomics.
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.