Jun Gan

625 citations
13 papers · 552 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Reproductive System and Pregnancy

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Lymphatic System and Diseases 1
    • Cancer Cells and Metastasis 1
    • Immune cells in cancer 1

Jun Gan

13 papers receiving 546 citations

Peers

Jun Gan
Comparison fields: 5 of 54
  • Cancer Research 175
  • Immunology 146
  • Oncology 98
  • Hepatology 21
  • Infectious Diseases 28
Replace Adeline Bouard with:
Adeline Bouard France
Sharon A. Oldford Canada
Jun Tsukada Japan
Geert van Tetering Netherlands
Benedikt Hofmann Germany
Jieyao Li China
Marzenna Orlowska‐Volk Germany
Youhei Uchida Japan
Ahmad Trad Germany
Wouter Van Loocke Belgium
Jun Gan relative to Adeline Bouard France Adeline Bouard's profile →
Citations per field
00.5×2×4×6×8.5×
Adeline Bouard · 1×
Citations per year

Countries citing papers authored by Jun Gan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2015184
2 2010139
3 201737
4 202036
5 201434
6 202029
7 201622
8 201915
9 202114
10 202013
11 202212
12 20149
13
p14ARF upregulation of p53 and enhanced effects of 5-fluorouracil in pancreatic cancer.
20038

About Jun Gan

Jun Gan is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 552 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Gastric Cancer Management and Outcomes (2 papers), Mechanisms of cancer metastasis (1 paper), Lymphatic System and Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), COVID-19 Clinical Research Studies (1 paper), Immune cells in cancer (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (175 citations), Immunology (146 citations), Oncology (98 citations), Hepatology (21 citations) and Infectious Diseases (28 citations). Jun Gan has collaborated with scholars based in China and United States. Frequent co-authors include Cheng’en Hu, Guangjian Huang, Yongchao Liu, Wenhong Zhang, Ruidong Zhang, Ying Zhang, Jing Zhao, Wei‐Hua Yan, Huihui Xu and Lei Lü. Their work appears in journals such as Frontiers in Immunology, International review of cytology, Scandinavian Journal of Gastroenterology, Epigenetics and Clinical & Translational 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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