Fuquan Zhang

6.9k citations
212 papers · 3.6k indexed · h-index 31
Topics
Genetic Associations and Epidemiology (44 papers)Genetics and Neurodevelopmental Disorders (19 papers)Tryptophan and brain disorders (17 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEDiabetes
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Fuquan Zhang

190 papers receiving 3.5k citations

Peers

Fuquan Zhang
Comparison fields: 5 of 149
  • Molecular Biology 1.4k
  • Genetics 697
  • Cancer Research 630
  • Psychiatry and Mental health 484
  • Cognitive Neuroscience 483
Replace Kathryn L. Evans with:
Kathryn L. Evans United Kingdom
Geòrgia Escaramís Spain
Ken Inoue Japan
James J. Crowley United States
Frank C. Mooren Germany
Jo Knight United Kingdom
Jason H. Huang United States
C. Phillip Morris Australia
Mario Zappia Italy
Kith Pradhan United States
Fuquan Zhang relative to Kathryn L. Evans United Kingdom Kathryn L. Evans's profile →
Citations per field
00.5×3.6×
Kathryn L. Evans · 1×
Citations per year

Countries citing papers authored by Fuquan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fuquan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuquan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuquan Zhang. A scholar is included among the top collaborators of Fuquan Zhang 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 Fuquan Zhang. Fuquan Zhang 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 0
4 6
5 17
6 14
7 7
8 7
9 4
10 6
11 8
12 1
13 32
14 25
15 21
16 12
17 2
18 29
19 59
20 14

About Fuquan Zhang

Fuquan Zhang is a scholar working on Biological Psychiatry, Genetics and Psychiatry and Mental health, having authored 212 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (44 papers), Genetics and Neurodevelopmental Disorders (19 papers) and Tryptophan and brain disorders (17 papers). The work is most often cited by research in Biological Psychiatry (283 citations), Cancer Research (630 citations) and Psychiatry and Mental health (484 citations). Fuquan Zhang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Ancha Baranova, Hongbao Cao, Shuquan Rao, Weihua Yue, Yong Xu, Chunhui Jin, Jiu Chen, Chenxing Liu, Zaohuo Cheng and Dai Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

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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