Jun Gu

852 citations
9 papers · 636 · 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 Response and Inflammation 3
    • Immune Cell Function and Interaction 2
    • Phagocytosis and Immune Regulation 1
    • Reproductive System and Pregnancy 1
    • Inflammasome and immune disorders 4

Jun Gu

9 papers receiving 626 citations

Peers

Jun Gu
Comparison fields: 5 of 72
  • Immunology 460
  • Infectious Diseases 105
  • Biological Psychiatry 12
  • Molecular Biology 326
  • Cancer Research 71
Replace Elizabeth A. Schwarzkopf with:
Elizabeth A. Schwarzkopf United States
Nadine Honke Germany
Mark Masin Switzerland
Claudia Gürtler Germany
Yuanjiu Lei United States
Lee-Ann Van de Velde United States
Tsing-Lee Tang-Huau United States
Francesca Pinci Germany
Daniel Eng Thiam Teo Singapore
Subhashini Arimilli United States
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 2011295
2 2009112
3 201580
4 201148
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, Nephrology and Virology, having authored 9 papers that have together received 636 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Inflammasome and immune disorders (4 papers), Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (2 papers), HIV Research and Treatment (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Phagocytosis and Immune Regulation (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Immunology (460 citations), Infectious Diseases (105 citations), Biological Psychiatry (12 citations), Molecular Biology (326 citations) and Cancer Research (71 citations). Jun Gu has collaborated with scholars based in China and United States. Frequent co-authors include Feng Liu, Weiwei Xia, Hongwei Ren, Nengming Xiao, Lijuan Xu, Yutao Wang, Jing Yang, Hui Sun, Yukun Guan and Lu Chen. Their work appears in journals such as Journal of Orthopaedic Translation, Protein & Cell, Cell Research, Journal of Innate Immunity and The Journal of Immunology.

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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