Lingjun Zuo

2.5k citations
74 papers · 2.0k · h-index 26

Impact in

Papers in

Lingjun Zuo

74 papers receiving 2.0k citations

Peers

Lingjun Zuo
Comparison fields: 5 of 104
  • Biological Psychiatry 84
  • Cellular and Molecular Neuroscience 408
  • Pathology and Forensic Medicine 326
  • Genetics 510
  • Behavioral Neuroscience 44
Replace Manav Kapoor with:
Manav Kapoor United States
Christoph Fehr Germany
Abbas Parsian United States
Tiebing Liang United States
Katherine L. Beebe United States
Monika Ridinger Germany
R R Crowe United States
Dominikus Bönsch Germany
J.M. Launay France
Zhida Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Lingjun Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005161
2 2006102
3 2012102
4 2007100
5 2011100
6 200596
7 201787
8 201386
9 200585
10 201149
11 200644
12 201644
13 200844
14 201641
15 200640
16 201240
17 201338
18 201235
19 201434
20 201233

About Lingjun Zuo

Lingjun Zuo is a scholar working on Genetics, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Psychiatry and Mental health and Biological Psychiatry, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), Alcohol Consumption and Health Effects (13 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Substance Abuse Treatment and Outcomes (9 papers), Autism Spectrum Disorder Research (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Nerve injury and regeneration (5 papers) and Cannabis and Cannabinoid Research (4 papers). The work is most often cited by research in Biological Psychiatry (84 citations), Cellular and Molecular Neuroscience (408 citations), Pathology and Forensic Medicine (326 citations), Genetics (510 citations) and Behavioral Neuroscience (44 citations). Lingjun Zuo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xingguang Luο, Joel E. Gelernter, Henry R. Kranzler, Bao‐Zhu Yang, Chiang-Shan Ray Li, John Harrison Krystal, Yunlong Tan, Jaakko Lappalainen, Xiangyang Zhang and Shuang Wang. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Journal of Psychiatric Research, Psychiatric Genetics, Neuropsychopharmacology and Schizophrenia Research.

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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