Fan Ping

141 papers receiving 3.1k citations

Fan Ping's Hit Papers

Sex Differences in the Efficacy of Glucagon‐Like Peptide‐1 Receptor Agonists for Weight Reduction: A Systematic Review and Meta‐Analysis 2025 · 34 citations
340+1+2Years since publication50100150200

Peers

Fan Ping
Comparison fields: 5 of 157
  • Endocrinology, Diabetes and Metabolism 584
  • Obstetrics and Gynecology 171
  • Physiology 452
  • Cancer Research 243
  • Aging 28
Replace Li Gao with:
Li Gao China
Michal Kršek Czechia
Ching‐Lung Cheung Hong Kong
Shan Liu China
Xiaomin Zhang China
Jian Jing Cao China
Wenjuan Zhang China
Xiaobo Yang China
Kathryn E. R. Davis United States
Ricardo Stein Brazil
Fan Ping relative to Li Gao China Li Gao's profile →
Citations per field
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Li Gao · 1×
Citations per year

Countries citing papers authored by Fan Ping

Since Specialization
Citations

This map shows the geographic impact of Fan Ping'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 Fan Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Ping more than expected).

Fields of papers citing papers by Fan Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan Ping. 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 Fan Ping. The network helps show where Fan Ping may publish in the future.

Co-authors

The 25 scholars most cited alongside Fan Ping, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fan Ping Line = papers co-authored together Fan Ping links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association of Glucagon-Like Peptide-1 Receptor Agonist Use With Risk of Gallbladder and Biliary Diseases
Hit paper breakdown →
2022225
2 2019169
3 2016113
4 2020110
5 201795
6 202095
7 201690
8 202081
9 201781
10 201177
11 201876
12 201564
13 201962
14 201455
15 201450
16 201347
17 201446
18 201545
19 202042
20 202442

About Fan Ping

Fan Ping is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Physiology, Genetics and Pediatrics, Perinatology and Child Health, having authored 147 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Birth, Development, and Health (12 papers), Metabolism, Diabetes, and Cancer (11 papers), Diabetes and associated disorders (10 papers), Gestational Diabetes Research and Management (10 papers), Epigenetics and DNA Methylation (10 papers), Telomeres, Telomerase, and Senescence (9 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (584 citations), Obstetrics and Gynecology (171 citations), Physiology (452 citations), Cancer Research (243 citations) and Aging (28 citations). Fan Ping has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxiu Li, Wei Li, Huabing Zhang, Lingling Xu, Xinhua Xiao, Jia Zheng, Liyun He, Ming Li, Qian Zhang and Tong Wang. Their work appears in journals such as Frontiers in Endocrinology, Journal of Diabetes Investigation, Diabetes Therapy, Oxidative Medicine and Cellular Longevity and PLoS ONE.

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.

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