Feng Yan

17.3k citations
381 papers · 12.0k · 1 hit paper · h-index 60

Impact in

  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 27
    • Neuroinflammation and Neurodegeneration Mechanisms 24
    • Intracranial Aneurysms: Treatment and Complications 14

Feng Yan

367 papers receiving 11.9k citations

Feng Yan's Hit Papers

Prevalence of stroke in China, 2013–2019: A population-based study 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Feng Yan
Comparison fields: 5 of 175
  • Neurology 1.3k
  • Neurology 1.3k
  • Cancer Research 1.3k
  • Biological Psychiatry 143
  • Developmental Neuroscience 220
Replace Ping Li with:
Ping Li China
Qian Li China
Atsushi Nagai Japan
Xiaokun Li China
Xinfeng Liu China
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Tao Wang China
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Marcel Leist Germany
Xiaoying Wang China
Feng Yan relative to Ping Li China Ping Li's profile →
Citations per field
00.5×1.5×2.1×
Ping Li · 1×
Citations per year

Countries citing papers authored by Feng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 381 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998397
2 2020272
3 2013231
4 2018186
5 2014164
6 2016163
7 2021161
8 2013151
9 2013146
10 2021139
11 2019137
12 2017134
13 2018132
14 2015125
15
Prevalence of stroke in China, 2013–2019: A population-based study
Hit paper breakdown →
2022121
16 2012114
17 2012110
18 2017101
19 201298
20 200497

About Feng Yan

Feng Yan is a scholar working on Molecular Biology, Neurology, Surgery, Cancer Research and Epidemiology, having authored 381 papers that have together received 12.0k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (28 papers), Intracerebral and Subarachnoid Hemorrhage Research (27 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers), Intracranial Aneurysms: Treatment and Complications (14 papers), Acute Ischemic Stroke Management (13 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers) and Cancer Immunotherapy and Biomarkers (11 papers). The work is most often cited by research in Neurology (1.3k citations), Neurology (1.3k citations), Cancer Research (1.3k citations), Biological Psychiatry (143 citations) and Developmental Neuroscience (220 citations). Feng Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xunming Ji, Gao Chen, Jianru Li, James G. Fox, Yumin Luo, Lin Wang, Jingyin Chen, Chi Gu, Amit Roy and Zhongming Ge. Their work appears in journals such as CNS Neuroscience & Therapeutics, Scientific Reports, Neurological Research, Infection and Immunity and Brain Research.

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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