Lingjun Zuo

66 papers receiving 1.7k citations

Peers

Lingjun Zuo
Comparison fields: 5 of 104
  • Biological Psychiatry 91
  • Cellular and Molecular Neuroscience 453
  • Pathology and Forensic Medicine 405
  • Genetics 521
  • Developmental Neuroscience 63
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Katherine Beebe United States
Leah Wetherill United States
Christoph Fehr Germany
Izuru Matsumoto Australia
Tiebing Liang United States
Andrew McQuillin United Kingdom
Zaorui Zhao United States
Abbas Parsian United States
Claudette Boni France
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Citations per field
00.5×2.9×
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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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005148
2 2012105
3 200793
4 200693
5 201192
6 200586
7 201779
8 200577
9 201144
10 201642
11 200638
12 200638
13 200837
14 201336
15 201636
16 201234
17 201433
18 201231
19 201229
20 200627

About Lingjun Zuo

Lingjun Zuo is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Alcohol Consumption and Health Effects (21 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Substance Abuse Treatment and Outcomes (12 papers), Autism Spectrum Disorder Research (7 papers), Genetics and Neurodevelopmental Disorders (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Biological Psychiatry (91 citations), Cellular and Molecular Neuroscience (453 citations), Pathology and Forensic Medicine (405 citations), Genetics (521 citations) and Developmental Neuroscience (63 citations). Lingjun Zuo has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Xingguang Luο, Joel Gelernter, Henry R. Kranzler, Bao‐Zhu Yang, John H. Krystal, Chiang‐Shan R. Li, 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, Psychiatric Genetics, Journal of Psychiatric Research, Human Molecular Genetics 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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