Jun Gu

4.9k citations
145 papers · 3.4k · h-index 29

Impact in

Papers in

    • DNA Repair Mechanisms 6
    • Retinoids in leukemia and cellular processes 6
    • Psoriasis: Treatment and Pathogenesis 16
    • Immunotherapy and Immune Responses 7

Jun Gu

134 papers receiving 3.2k citations

Peers

Jun Gu
Comparison fields: 5 of 129
  • Cancer Research 829
  • Pathology and Forensic Medicine 442
  • Oncology 602
  • Endocrinology, Diabetes and Metabolism 368
  • Immunology 461
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Jun Gu relative to Yusuke Kobayashi Japan Yusuke Kobayashi's profile →
Citations per field
00.5×3.0×
Yusuke Kobayashi · 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

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999487
2 2009169
3 2009164
4 2003164
5 2002135
6 2000113
7
Benzo(a)pyrene diol epoxide-induced chromosomal aberrations and risk of lung cancer.
199698
8 200290
9 200987
10 201980
11 200978
12 201776
13
DNA repair capacity correlates with mutagen sensitivity in lymphoblastoid cell lines.
199664
14 199861
15 199860
16
Mutagen sensitivity and risk of gliomas: a case-control analysis.
199655
17 200853
18 202351
19 201047
20 200346

About Jun Gu

Jun Gu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 145 papers that have together received 3.4k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (16 papers), Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (10 papers), Immunotherapy and Immune Responses (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), DNA Repair Mechanisms (6 papers), Retinoids in leukemia and cellular processes (6 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Cancer Research (829 citations), Pathology and Forensic Medicine (442 citations), Oncology (602 citations), Endocrinology, Diabetes and Metabolism (368 citations) and Immunology (461 citations). Jun Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include M R Spitz, Waun Ki Hong, Xin Wu, Jehangir Mistry, Hong‐Ren Yu, Ruth L. Katz, Melissa L. Bondy, Hongying Chen, Lie Yang and Zong‐Guang Zhou. Their work appears in journals such as Scientific Reports, Cancer, Oncotarget, Chinese Journal of Integrative Medicine and Annals of the Rheumatic Diseases.

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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