Jin‐Yan Wang

1.5k citations
83 papers · 1.1k indexed · h-index 20
Topics
Pain Mechanisms and Treatments (32 papers)Pain Management and Placebo Effect (16 papers)Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiomaterials
Partner nations
ChinaUnited StatesBrazil

In The Last Decade

Jin‐Yan Wang

77 papers receiving 1.1k citations

Peers

Jin‐Yan Wang
Comparison fields: 5 of 127
  • Physiology 425
  • Cognitive Neuroscience 329
  • Cellular and Molecular Neuroscience 249
  • Molecular Biology 149
  • Immunology 136
Replace Daigo Ikegami with:
Daigo Ikegami Japan
Yuanzhong Xu United States
Linda F. Adams United States
Stacie K. Totsch United States
Sumio Murase Japan
Hui Xie China
Hana Cho South Korea
Daniel J. van Wamelen Netherlands
Alberto C. S. Costa United States
Zheman Xiao China
Jin‐Yan Wang relative to Daigo Ikegami Japan Daigo Ikegami's profile →
Citations per field
00.5×4.1×
Daigo Ikegami · 1×
Citations per year

Countries citing papers authored by Jin‐Yan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Yan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Yan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Yan Wang. A scholar is included among the top collaborators of Jin‐Yan Wang 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 Jin‐Yan Wang. Jin‐Yan Wang 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 3
2 1
3 4
4 2
5 2
6 55
7 17
8 9
9 52
10 29
11 6
12 30
13 9
14 20
15 70
16 49
17 31
18 19
19 14
20
General Bayes Diagnosis Method
1

About Jin‐Yan Wang

Jin‐Yan Wang is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Physiology, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (32 papers), Pain Management and Placebo Effect (16 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (14 papers). The work is most often cited by research in Behavioral Neuroscience (122 citations), Cognitive Neuroscience (329 citations) and Physiology (425 citations). Jin‐Yan Wang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Fei Luo, Jing‐Yu Chang, Donald J. Woodward, Ning Wang, Ji‐Sheng Han, Fei Luo, Yuzheng Wang, Yabin Sun, Tetsuya Mizuno and Hideyuki Takeuchi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

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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