Lin Yu

1.1k citations
66 papers · 868 · h-index 15

Impact in

Papers in

Lin Yu

59 papers receiving 849 citations

Peers

Lin Yu
Comparison fields: 5 of 130
  • Biological Psychiatry 84
  • Health, Toxicology and Mutagenesis 242
  • Behavioral Neuroscience 29
  • Clinical Psychology 124
  • Cognitive Neuroscience 108
Replace Huijun Li with:
Huijun Li China
Young Sun Hong South Korea
Hye Youn Park South Korea
Hongxi Yang China
Xinyao Liu China
Antonella Bruni Italy
Charles Tzu‐Chi Lee Taiwan
Xiaotian Liu China
Zhenggang Bai China
Lin Yu relative to Huijun Li China Huijun Li's profile →
Citations per field
00.5×1.5×
Huijun Li · 1×
Citations per year

Countries citing papers authored by Lin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006208
2 201646
3 201744
4 201943
5 201939
6 201639
7 201932
8 201529
9 202229
10 201127
11 201726
12 202026
13 201724
14 201816
15 202014
16 201013
17 202112
18 201511
19 201311
20 202110

About Lin Yu

Lin Yu is a scholar working on Complementary and alternative medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Clinical Psychology and Biological Psychiatry, having authored 66 papers that have together received 868 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (9 papers), Tryptophan and brain disorders (8 papers), Complementary and Alternative Medicine Studies (7 papers), Healthcare Decision-Making and Restraints (6 papers), Mental Health Research Topics (6 papers), Meta-analysis and systematic reviews (5 papers), Functional Brain Connectivity Studies (5 papers) and Traditional Chinese Medicine Studies (5 papers). The work is most often cited by research in Biological Psychiatry (84 citations), Health, Toxicology and Mutagenesis (242 citations), Behavioral Neuroscience (29 citations), Clinical Psychology (124 citations) and Cognitive Neuroscience (108 citations). Lin Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dunjin Chen, Wenbing Zhang, Guoying Sheng, Bixian Mai, Jiamo Fu, Xinhui Bi, Shengwei Wu, Huawang Wu, Jiaojian Wang and Chen Wang. Their work appears in journals such as Frontiers in Psychiatry, BMJ evidence-based medicine, BMJ Open, International Journal of Nursing Sciences and International Journal of Environmental Research and Public Health.

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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