Yi Pan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Health Informatics top 2%
Papers in
-
- Cancer-related molecular mechanisms research 19
- MicroRNA in disease regulation 13
-
- RNA modifications and cancer 8
- RNA Research and Splicing 8
- Co-authors
- Ke Zen (10 shared papers)Liang Jin (19 shared papers)Jingyu Deng (13 shared papers)Han Liang (10 shared papers)Hongwei Liang (4 shared papers)Chen‐Yu Zhang (5 shared papers)Dianchang Wang (4 shared papers)William Hodge (5 shared papers)
- Journals
- Nature Communications (4 papers)Cell Death and Disease (4 papers)Tumor Biology (4 papers)Scientific Reports (4 papers)Cancer Biology and Medicine (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yi Pan
132 papers receiving 4.2k citations
Yi Pan's Hit Papers
Peers
Comparison fields: 5 of 141
- Cancer Research 1.1k
- Health Informatics 68
- Molecular Biology 1.8k
- Endocrinology, Diabetes and Metabolism 349
- Oncology 550
Countries citing papers authored by Yi Pan
This map shows the geographic impact of Yi 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 Yi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Pan more than expected).
Fields of papers citing papers by Yi Pan
This network shows the impact of papers produced by Yi 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 Yi Pan. The network helps show where Yi Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study Hit paper breakdown → | 2018 | 339 |
| 2 | 2013 | 209 | |
| 3 | 2008 | 182 | |
| 4 | 2015 | 168 | |
| 5 | 2013 | 149 | |
| 6 | 2019 | 139 | |
| 7 | 2019 | 121 | |
| 8 | 2017 | 98 | |
| 9 | 2015 | 96 | |
| 10 | 2018 | 88 | |
| 11 | 2010 | 84 | |
| 12 | 2011 | 81 | |
| 13 | 2019 | 80 | |
| 14 | 2014 | 76 | |
| 15 | 2017 | 76 | |
| 16 | 2020 | 70 | |
| 17 | 2016 | 67 | |
| 18 | 2009 | 65 | |
| 19 | 2006 | 61 | |
| 20 | 2019 | 59 |
About Yi Pan
Yi Pan is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 137 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (13 papers), Lymphoma Diagnosis and Treatment (12 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (8 papers), Gastric Cancer Management and Outcomes (8 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Cancer Research (1.1k citations), Health Informatics (68 citations), Molecular Biology (1.8k citations), Endocrinology, Diabetes and Metabolism (349 citations) and Oncology (550 citations). Yi Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ke Zen, Liang Jin, Jingyu Deng, Han Liang, Hongwei Liang, Chen‐Yu Zhang, Dianchang Wang, William Hodge, Xi Chen and Limin Li. Their work appears in journals such as Nature Communications, Cell Death and Disease, Tumor Biology, Scientific Reports and Cancer Biology and 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.