Lingling Pan
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in ⓘ
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 7
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- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 3
- Co-authors
- Huijie Zhang (12 shared papers)Ping Gu (2 shared papers)Shuqi Wu (2 shared papers)Shuyu Yang (8 shared papers)Zhimin Ma (8 shared papers)Gang Huang (2 shared papers)Zheng Chen (5 shared papers)Li Sun (1 shared paper)
- Journals
- European Journal of Organic Chemistry (3 papers)Materials & Design (2 papers)BMC Nephrology (2 papers)JAMA Internal Medicine (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lingling Pan
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 128
- Reproductive Medicine 155
- Physiology 471
- Hepatology 132
- Epidemiology 540
- Obstetrics and Gynecology 92
Countries citing papers authored by Lingling Pan
This map shows the geographic impact of Lingling 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 Lingling Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Pan more than expected).
Fields of papers citing papers by Lingling Pan
This network shows the impact of papers produced by Lingling 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 Lingling Pan. The network helps show where Lingling Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 204 | |
| 2 | 2013 | 196 | |
| 3 | 2008 | 187 | |
| 4 | 2014 | 139 | |
| 5 | 2014 | 111 | |
| 6 | 2009 | 109 | |
| 7 | 2013 | 80 | |
| 8 | 2009 | 79 | |
| 9 | 2016 | 48 | |
| 10 | 2020 | 36 | |
| 11 | 2022 | 34 | |
| 12 | 2015 | 31 | |
| 13 | 2021 | 28 | |
| 14 | 2015 | 26 | |
| 15 | 2012 | 26 | |
| 16 | 2023 | 24 | |
| 17 | 2023 | 24 | |
| 18 | 2014 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2022 | 17 |
About Lingling Pan
Lingling Pan is a scholar working on Epidemiology, Physiology, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Adipose Tissue and Metabolism (6 papers), Diet, Metabolism, and Disease (4 papers), Medical Imaging Techniques and Applications (4 papers), Diet and metabolism studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Nanomaterials for catalytic reactions (2 papers). The work is most often cited by research in Reproductive Medicine (155 citations), Physiology (471 citations), Hepatology (132 citations), Epidemiology (540 citations) and Obstetrics and Gynecology (92 citations). Lingling Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huijie Zhang, Ping Gu, Shuqi Wu, Shuyu Yang, Zhimin Ma, Gang Huang, Zheng Chen, Li Sun, Xuejun Li and Chengkun Han. Their work appears in journals such as European Journal of Organic Chemistry, Materials & Design, BMC Nephrology, JAMA Internal Medicine and European Journal of Radiology.
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.