Jian-Gao Fan

8.1k citations
5 papers · 1.2k indexed · 1 hit paper · h-index 4
Topics
Diet, Metabolism, and Disease (3 papers)Liver Disease Diagnosis and Treatment (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)
Partner nations
ChinaAustraliaDenmark

In The Last Decade

Jian-Gao Fan

4 papers receiving 1.2k citations

Hit Papers

New trends on obesity and NAFLD in Asia20172026202020232017250500750

Peers

Jian-Gao Fan
Comparison fields: 5 of 83
  • Epidemiology 915
  • Endocrinology, Diabetes and Metabolism 383
  • Hepatology 324
  • Infectious Diseases 204
  • Pathology and Forensic Medicine 200
Replace Yong‐Ping Chen with:
Yong‐Ping Chen China
Mohammad Shafi Kuchay India
Rafael S. Rios China
Puneet Puri United States
Andrei Racila United States
Yuan Xu China
Mário Reis Álvares‐da‐Silva Brazil
Saggere Muralikrishna Shasthry India
Chavdar S Pavlov Russia
Fu‐Shun Yen Taiwan
Jian-Gao Fan relative to Yong‐Ping Chen China Yong‐Ping Chen's profile →
Citations per field
00.5×1.5×
Yong‐Ping Chen · 1×
Citations per year

Countries citing papers authored by Jian-Gao Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Gao Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian-Gao Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Gao Fan. A scholar is included among the top collaborators of Jian-Gao Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian-Gao Fan. Jian-Gao Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 4
3 232
4
New trends on obesity and NAFLD in Asiabreakdown →
837
5 150

About Jian-Gao Fan

Jian-Gao Fan is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Epidemiology, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Hepatology (324 citations), Epidemiology (915 citations) and Endocrinology, Diabetes and Metabolism (383 citations). Jian-Gao Fan has collaborated with scholars based in China, Australia and Denmark. Frequent co-authors include Seung Up Kim, Vincent Wai‐Sun Wong, Jie Li, Lui Li, Li Feng, Fei Dai, Shiyao Chen, Lan Chen, Reda Elwakil and Tawesak Tanwandee. Their work appears in journals such as Journal of Hepatology, Journal of Gastroenterology and Hepatology and Hepatology International.

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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