Jun Gu

865 citations
9 papers · 644 · h-index 9

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Viral Infections and Vectors

Papers in

    • interferon and immune responses 6
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2
    • Inflammasome and immune disorders 3
    • Cell death mechanisms and regulation 1

Jun Gu

9 papers receiving 634 citations

Peers

Jun Gu
Comparison fields: 5 of 70
  • Immunology 444
  • Infectious Diseases 101
  • Cancer Research 64
  • Molecular Biology 303
  • Biological Psychiatry 10
Replace Elizabeth A. Schwarzkopf with:
Elizabeth A. Schwarzkopf United States
Katherine R. Balka Australia
Jan Sodenkamp Germany
Damian B. D’Silva Australia
Nadine Honke Germany
Yuanjiu Lei United States
Chieko Ishifune Japan
Guomei Lin China
Andrea Majoros Austria
Mark Masin Switzerland
Jun Gu relative to Elizabeth A. Schwarzkopf United States Elizabeth A. Schwarzkopf's profile →
Citations per field
00.5×5.1×
Elizabeth A. Schwarzkopf · 1×
Citations per year

Countries citing papers authored by Jun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2011299
2 2009112
3 201583
4 201149
5 201236
6 200619
7 202318
8 200615
9 201813

About Jun Gu

Jun Gu is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Virology and Oncology, having authored 9 papers that have together received 644 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Inflammasome and immune disorders (3 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), NF-κB Signaling Pathways (1 paper), Cell death mechanisms and regulation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (444 citations), Infectious Diseases (101 citations), Cancer Research (64 citations), Molecular Biology (303 citations) and Biological Psychiatry (10 citations). Jun Gu has collaborated with scholars based in China and United States. Frequent co-authors include Feng Liu, Weiwei Xia, Lijuan Xu, Nengming Xiao, Hongwei Ren, Lu Chen, Delia Gutman, Huihui Chen, Yutao Wang and Zhengfan Jiang. Their work appears in journals such as Protein & Cell, Cell Research, Molecular Pharmacology, Journal of Innate Immunity and Cell.

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.

Explore authors with similar magnitude of impact