Shang‐Ling Pan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Forensic and Genetic Research
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
Papers in
-
- RNA modifications and cancer 6
- Peroxisome Proliferator-Activated Receptors 5
- Genetics 17
- Genetic Associations and Epidemiology 7
- Forensic and Genetic Research 7
- Co-authors
- Rui‐Xing Yin (44 shared papers)Weixiong Lin (23 shared papers)Jin‐Zhen Wu (18 shared papers)Lynn Htet Htet Aung (12 shared papers)Dong‐Feng Wu (11 shared papers)Feng Huang (8 shared papers)Chengwu Liu (17 shared papers)Shikang Li (2 shared papers)
- Journals
- Lipids in Health and Disease (14 papers)Scientific Reports (4 papers)PLoS ONE (2 papers)Oncotarget (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Shang‐Ling Pan
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 256
- Genetics 335
- Endocrinology, Diabetes and Metabolism 133
- Molecular Biology 466
- Aging 11
Countries citing papers authored by Shang‐Ling Pan
This map shows the geographic impact of Shang‐Ling 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 Shang‐Ling Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Ling Pan more than expected).
Fields of papers citing papers by Shang‐Ling Pan
This network shows the impact of papers produced by Shang‐Ling 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 Shang‐Ling Pan. The network helps show where Shang‐Ling Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shang‐Ling 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 116 | |
| 2 | 2017 | 103 | |
| 3 | 2007 | 93 | |
| 4 | 2008 | 87 | |
| 5 | 2020 | 69 | |
| 6 | 2011 | 45 | |
| 7 | 2008 | 44 | |
| 8 | 2010 | 40 | |
| 9 | 2014 | 37 | |
| 10 | 2018 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2002 | 28 | |
| 13 | 2012 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2012 | 25 | |
| 16 | 2014 | 25 | |
| 17 | 2008 | 25 | |
| 18 | 2012 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2010 | 20 |
About Shang‐Ling Pan
Shang‐Ling Pan is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Lipoproteins and Cardiovascular Health (8 papers), Genetic Associations and Epidemiology (7 papers), Cancer-related molecular mechanisms research (7 papers), Forensic and Genetic Research (7 papers), RNA modifications and cancer (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Cancer Research (256 citations), Genetics (335 citations), Endocrinology, Diabetes and Metabolism (133 citations), Molecular Biology (466 citations) and Aging (11 citations). Shang‐Ling Pan has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Rui‐Xing Yin, Weixiong Lin, Jin‐Zhen Wu, Lynn Htet Htet Aung, Dong‐Feng Wu, Feng Huang, Chengwu Liu, Shikang Li, Jingcheng Yang and Jin Li. Their work appears in journals such as Lipids in Health and Disease, Scientific Reports, PLoS ONE, Oncotarget and Journal of Cellular and Molecular 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.