Jun Gu

4.9k citations
144 papers · 3.2k · h-index 28

Impact in

Papers in

Jun Gu

133 papers receiving 3.2k citations

Peers

Jun Gu
Comparison fields: 5 of 127
  • Cancer Research 811
  • Pathology and Forensic Medicine 414
  • Endocrinology, Diabetes and Metabolism 361
  • Oncology 572
  • Immunology 451
Replace Takeshi Ueda with:
Takeshi Ueda Japan
Toshiyuki Nakayama Japan
Mark L. Graham United States
Hisanori Uehara Japan
Yoshiyuki Kakehi Japan
A Hittmair Austria
Scott D. Cramer United States
Ronald J. Weigel United States
Dean B. Evans Switzerland
Christopher D. Kontos United States
Jun Gu relative to Takeshi Ueda Japan Takeshi Ueda's profile →
Citations per field
00.5×2.6×
Takeshi Ueda · 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 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999465
2 2009168
3 2009164
4 2003153
5 2002132
6 2000111
7
Benzo(a)pyrene diol epoxide-induced chromosomal aberrations and risk of lung cancer.
199692
8 200286
9 200985
10 201980
11 201776
12 200975
13
DNA repair capacity correlates with mutagen sensitivity in lymphoblastoid cell lines.
199661
14 199858
15 199856
16 200853
17
Mutagen sensitivity and risk of gliomas: a case-control analysis.
199651
18 202350
19 201046
20 201945

About Jun Gu

Jun Gu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 144 papers that have together received 3.2k 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), Acute Lymphoblastic Leukemia research (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (811 citations), Pathology and Forensic Medicine (414 citations), Endocrinology, Diabetes and Metabolism (361 citations), Oncology (572 citations) and Immunology (451 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, Jehangir Mistry, Xin Wu, Hong‐Ren Yu, Melissa L. Bondy, Chaojie Wang, Hongying Chen, Zong‐Guang Zhou and Ruth L. Katz. Their work appears in journals such as Scientific Reports, Oncotarget, Chinese Journal of Integrative Medicine, Annals of the Rheumatic Diseases and Cancer.

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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