Ying Fan

108 papers receiving 2.3k citations

Ying Fan's Hit Papers

Intestinal Akkermansia muciniphila complements the efficacy of PD1 therapy in MAFLD-related hepatocellular carcinoma 2025 · 18 citations
180+1Years since publication204060

Peers

Ying Fan
Comparison fields: 5 of 142
  • Neurology 166
  • Complementary and alternative medicine 138
  • Genetics 171
  • Molecular Biology 1.1k
  • Developmental Neuroscience 62
Replace Suping Wang with:
Suping Wang China
Kailiang Zhou China
Seungjoo Lee South Korea
Ying Jin China
Hyung-Seok Kim South Korea
Yu Ri Kim South Korea
Chunyan Li China
Azizul Haque United States
Huan Yang China
Xin Lv China
Ying Fan relative to Suping Wang China Suping Wang's profile →
Citations per field
00.5×1.6×
Suping Wang · 1×
Citations per year

Countries citing papers authored by Ying Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying Fan, 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 Ying Fan Line = papers co-authored together Ying Fan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996214
2 2004156
3 2017100
4 201897
5
Benralizumab versus Mepolizumab for Eosinophilic Granulomatosis with Polyangiitis
Hit paper breakdown →
202469
6 200569
7 201967
8 202364
9 202059
10 201356
11 201154
12 201051
13 201949
14 200745
15 201645
16 201944
17 199441
18 201538
19 202036
20 201736

About Ying Fan

Ying Fan is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Physiology and Epidemiology, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Cardiac Ischemia and Reperfusion (8 papers), Mitochondrial Function and Pathology (7 papers), Traditional Chinese Medicine Studies (6 papers), Alzheimer's disease research and treatments (5 papers), Traditional Chinese Medicine Analysis (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Neurology (166 citations), Complementary and alternative medicine (138 citations), Genetics (171 citations), Molecular Biology (1.1k citations) and Developmental Neuroscience (62 citations). Ying Fan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Miranda D. Grounds, Manfred W. Beilharz, Moira Maley, Sumana Sanyal, Roberto Bruzzone, Jing Yao, Enzhi Yan, Zhi‐Hong Zong, Terence K. Lee and Yin Cai. Their work appears in journals such as Acta Pharmacologica Sinica, The FASEB Journal, Journal of drug targeting, Muscle & Nerve and Oxidative Medicine and Cellular Longevity.

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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