Li Pan
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Inflammatory Bowel Disease
- Epidemiology top 10%
- Ophthalmology and Visual Impairment Studies
Papers in
- Neurology 18
- Intracranial Aneurysms: Treatment and Complications 12
- Vascular Malformations Diagnosis and Treatment 7
- Epidemiology 20
- Ophthalmology and Visual Impairment Studies 9
- Co-authors
- Guangliang Shan (51 shared papers)Huijing He (34 shared papers)Ze Qin Cui (12 shared papers)Jiazhong Dai (7 shared papers)Chengdong Yu (9 shared papers)Zixing Wang (1 shared paper)Yaoda Hu (3 shared papers)Jianwei Du (10 shared papers)
- Journals
- Frontiers in Public Health (5 papers)BMJ Open (4 papers)BMC Public Health (4 papers)World Neurosurgery (4 papers)BMC Ophthalmology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Li Pan
135 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 124
- Genetics 137
- Epidemiology 332
- Endocrinology, Diabetes and Metabolism 168
- Neurology 124
- Nephrology 81
Countries citing papers authored by Li Pan
This map shows the geographic impact of Li 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 Li Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Pan more than expected).
Fields of papers citing papers by Li Pan
This network shows the impact of papers produced by Li 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 Li Pan. The network helps show where Li Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 133 | |
| 2 | 2023 | 81 | |
| 3 | 2014 | 67 | |
| 4 | 2021 | 61 | |
| 5 | 2015 | 54 | |
| 6 | 2013 | 53 | |
| 7 | 2005 | 52 | |
| 8 | 2009 | 50 | |
| 9 | 2020 | 50 | |
| 10 | 1998 | 48 | |
| 11 | 2017 | 48 | |
| 12 | 2016 | 45 | |
| 13 | 2020 | 43 | |
| 14 | 2015 | 40 | |
| 15 | 2017 | 40 | |
| 16 | 2024 | 39 | |
| 17 | 2014 | 38 | |
| 18 | 2017 | 37 | |
| 19 | 2020 | 37 | |
| 20 | 2013 | 36 |
About Li Pan
Li Pan is a scholar working on Neurology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 150 papers that have together received 2.3k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Blood Pressure and Hypertension Studies (10 papers), Ophthalmology and Visual Impairment Studies (9 papers), Obesity, Physical Activity, Diet (9 papers), Vascular Malformations Diagnosis and Treatment (7 papers), Glioma Diagnosis and Treatment (7 papers) and Gout, Hyperuricemia, Uric Acid (6 papers). The work is most often cited by research in Genetics (137 citations), Epidemiology (332 citations), Endocrinology, Diabetes and Metabolism (168 citations), Neurology (124 citations) and Nephrology (81 citations). Li Pan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guangliang Shan, Huijing He, Ze Qin Cui, Jiazhong Dai, Chengdong Yu, Zixing Wang, Yaoda Hu, Jianwei Du, Xiaolan Ren and Lianting Ma. Their work appears in journals such as Frontiers in Public Health, BMJ Open, BMC Public Health, World Neurosurgery and BMC Ophthalmology.
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.