Hong Pan

4.3k citations
74 papers · 3.1k indexed · h-index 27
Topics
Functional Brain Connectivity Studies (12 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers)Neural and Behavioral Psychology Studies (8 papers)

In The Last Decade

Hong Pan

71 papers receiving 3.0k citations

Peers

Hong Pan
Comparison fields: 5 of 140
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 689
  • Clinical Psychology 660
  • Psychiatry and Mental health 476
  • Behavioral Neuroscience 425
Replace Scott M. Hayes with:
Scott M. Hayes United States
Gabriel Leonard Canada
Oezguer A. Onur Germany
Heiko K. Strüder Germany
Masaya Misaki United States
Gebhard Sammer Germany
Florian Kurth United States
Francesca Foti Italy
Philipp G. Sämann Germany
Suzanne E. Welcome United States
Hong Pan relative to Scott M. Hayes United States Scott M. Hayes's profile →
Citations per field
00.5×1.6×
Scott M. Hayes · 1×
Citations per year

Countries citing papers authored by Hong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Pan. A scholar is included among the top collaborators of Hong Pan 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 Hong Pan. Hong Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 2
6 6
7
Epidemiological characteristics and case investigation of rabies in Yunnan, 2015–2019
1
8 13
9 34
10 27
11 16
12 54
13 29
14 21
15 74
16 16
17 88
18 105
19 310
20 11

About Hong Pan

Hong Pan is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers) and Neural and Behavioral Psychology Studies (8 papers). The work is most often cited by research in Behavioral Neuroscience (425 citations), Cognitive Neuroscience (1.3k citations) and Experimental and Cognitive Psychology (689 citations). Hong Pan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David Silbersweig, Emily Stern, Oliver Tuescher, Xenia Protopopescu, Jane Epstein, Tracy Butler, Yihong Yang, Martin Goldstein, Bruce S. McEwen and James C. Root. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron 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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