Yanjun Gu

647 citations
24 papers · 546 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer Cells and Metastasis

Papers in

    • Cancer Cells and Metastasis 4
    • Colorectal Cancer Treatments and Studies 3
    • Cancer Risks and Factors 2
    • Circular RNAs in diseases 2
    • Angiogenesis and VEGF in Cancer 2

Yanjun Gu

23 papers receiving 540 citations

Peers

Yanjun Gu
Comparison fields: 5 of 69
  • Cancer Research 188
  • Oncology 145
  • Molecular Biology 322
  • Immunology and Allergy 21
  • Immunology 72
Replace Alison M. Urvalek with:
Alison M. Urvalek United States
Shuping Yin United States
Simon Lavotshkin United States
Marika Crescenzi Italy
Erika Serrano Spain
Shiao-Lin Tung Taiwan
Boris Gole Slovenia
Masanori Ii Japan
Elisabeth Emilsen Norway
Elena Federzoni Switzerland
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Citations per field
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Alison M. Urvalek · 1×
Citations per year

Countries citing papers authored by Yanjun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015141
2 200979
3 200864
4 201858
5 201936
6 201032
7 200727
8 201821
9 201919
10 200710
11 201310
12 201810
13 20157
14 20146
15 20105
16 20185
17 20145
18 20093
19
[Human endostatin antiangiogenic gene therapy mediated by recombinant adeno-associated virus vector in nude mouse with endometriosis].
20103
20 20092

About Yanjun Gu

Yanjun Gu is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 24 papers that have together received 546 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Colorectal Cancer Treatments and Studies (3 papers), T-cell and B-cell Immunology (2 papers), Circular RNAs in diseases (2 papers), Immune Cell Function and Interaction (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Cancer Risks and Factors (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (188 citations), Oncology (145 citations), Molecular Biology (322 citations), Immunology and Allergy (21 citations) and Immunology (72 citations). Yanjun Gu has collaborated with scholars based in China and United States. Frequent co-authors include Shiwu Zhang, Xiulan Zhao, Baocun Sun, Xiaohong Yu, He Huang, Kaimin Hu, Danfang Zhang, Baocun Sun, Yongxian Hu and Lizhen Liu. Their work appears in journals such as Blood, Journal of Experimental & Clinical Cancer Research, Journal of Hematology & Oncology, Biological and Pharmaceutical Bulletin and Journal of Immunological Methods.

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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