Yan Fan

107 papers receiving 3.7k citations

Hit Papers

Is there a core neural network in empathy? An fMRI based quantitative meta-analysis 2010 · 694 citations
6940+5+10Years since publication200400600

Peers

Yan Fan
Comparison fields: 5 of 175
  • Behavioral Neuroscience 356
  • Biological Psychiatry 184
  • Cognitive Neuroscience 1.2k
  • Social Psychology 1.1k
  • Experimental and Cognitive Psychology 638
Replace Ian Reid with:
Ian Reid United Kingdom
Günter Schumann United Kingdom
Karsten Mueller Germany
Marc Walter Switzerland
Jason L. Stein United States
Hidehiko Takahashi Japan
Trevor Archer Sweden
Benjamin Becker China
Stanley V. Catts Australia
Yan Fan relative to Ian Reid United Kingdom Ian Reid's profile →
Citations per field
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Countries citing papers authored by Yan Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Is there a core neural network in empathy? An fMRI based quantitative meta-analysis
Hit paper breakdown →
2010694
2 2007337
3 2008194
4 2009123
5 200899
6 200996
7 201494
8 200491
9 201085
10 201478
11 201877
12 199066
13 200866
14 200861
15 201561
16 201559
17 201958
18 201857
19 201856
20 201954

About Yan Fan

Yan Fan is a scholar working on Behavioral Neuroscience, Social Psychology, Cognitive Neuroscience, Molecular Biology and Experimental and Cognitive Psychology, having authored 107 papers that have together received 3.8k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (25 papers), Neuroendocrine regulation and behavior (14 papers), Functional Brain Connectivity Studies (12 papers), Statistical Methods and Inference (9 papers), Neural and Behavioral Psychology Studies (9 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Mental Health Research Topics (8 papers) and Nuclear Receptors and Signaling (5 papers). The work is most often cited by research in Behavioral Neuroscience (356 citations), Biological Psychiatry (184 citations), Cognitive Neuroscience (1.2k citations), Social Psychology (1.1k citations) and Experimental and Cognitive Psychology (638 citations). Yan Fan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shihui Han, Georg Northoff, Moritz de Greck, Niall W. Duncan, Lihua Mao, Malek Bajbouj, Simone Grimm, Meng‐Yang Zhu, V. Wee Yong and Melanie Feeser. Their work appears in journals such as Journal of Neurochemistry, Behavioural Brain Research, Psychopharmacology, Human Brain Mapping and Scientific Reports.

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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