Wang Zhu-gang

407 citations
5 papers · 321 · h-index 4

Impact in

Papers in

    • Kruppel-like factors research 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related gene regulation 1
    • interferon and immune responses 2
    • Immune Response and Inflammation 2

Wang Zhu-gang

5 papers receiving 319 citations

Peers

Wang Zhu-gang
Comparison fields: 5 of 61
  • Biological Psychiatry 23
  • Behavioral Neuroscience 27
  • Cellular and Molecular Neuroscience 56
  • Developmental Neuroscience 11
  • Immunology 54
Replace Jonathan Cenna with:
Jonathan Cenna United States
Eugene V. Gasanov Russia
Vinayak Rayannavar United States
Claudia Vercelli Argentina
Yongxia Huo China
Suaad Ahmed Ireland
Yun-Fen Hung Taiwan
Ida Ericsson Norway
Spencer R. Pierce United States
Milen Kirilov Germany
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Citations per field
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Citations per year

Countries citing papers authored by Wang Zhu-gang

Since Specialization
Citations

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

Fields of papers citing papers by Wang Zhu-gang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang Zhu-gang. 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 Wang Zhu-gang. The network helps show where Wang Zhu-gang may publish in the future.

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2010134
2 2006112
3 200970
4
Generation of adiponectin gene knock--out and LacZ gene knock--in mouse model
20064
5
Preliminary phenotype analysis of RIG-I knockout mice
20081

About Wang Zhu-gang

Wang Zhu-gang is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Biological Psychiatry and Epidemiology, having authored 5 papers that have together received 321 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Immune Response and Inflammation (2 papers), Kruppel-like factors research (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Tryptophan and brain disorders (1 paper), Cancer-related gene regulation (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Behavioral Neuroscience (27 citations), Cellular and Molecular Neuroscience (56 citations), Developmental Neuroscience (11 citations) and Immunology (54 citations). Wang Zhu-gang has collaborated with scholars based in China, Ukraine and France. Frequent co-authors include Jie Jiang, Jian Fei, Guoxiang Liu, Lihe Guo, You-Qing Cai, Lu H, Qiu-Hua Huang, Chaoquan Hu, Ying Kuang and Zhu Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuropsychopharmacology, Cell Host & Microbe and PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS.

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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