Jin Gu

4.5k citations
154 papers · 3.1k · h-index 31

Impact in

  • Oncology top 2%
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Surgical Treatments 36
    • Colorectal Cancer Treatments and Studies 13
    • Colorectal Cancer Screening and Detection 7

Jin Gu

151 papers receiving 3.1k citations

Peers

Jin Gu
Comparison fields: 5 of 107
  • Oncology 1.1k
  • Cancer Research 573
  • Molecular Biology 899
  • Immunology 248
  • Pulmonary and Respiratory Medicine 344
Replace Franco Odicino with:
Franco Odicino Italy
Xiaodong Yang China
Zan Shen China
Thaer Khoury United States
Francesco Pantano Italy
Dongfeng Tan United States
Walter E. Aulitzky Germany
Harvey J. Mamon United States
Henning Reis Germany
Kalle Alanen Finland
Jin Gu relative to Franco Odicino Italy Franco Odicino's profile →
Citations per field
00.5×1.5×
Franco Odicino · 1×
Citations per year

Countries citing papers authored by Jin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009238
2 2011173
3 1999158
4 2014135
5 2020117
6 2020101
7 200581
8 200966
9 201758
10 201857
11 202056
12 201852
13 201850
14 200945
15 200645
16 201345
17 201644
18 201043
19 201343
20 202040

About Jin Gu

Jin Gu is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 154 papers that have together received 3.1k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (36 papers), Colorectal Cancer Treatments and Studies (13 papers), Colorectal and Anal Carcinomas (10 papers), Virus-based gene therapy research (9 papers), Genetic factors in colorectal cancer (9 papers), Sarcoma Diagnosis and Treatment (8 papers), Colorectal Cancer Screening and Detection (7 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (573 citations), Molecular Biology (899 citations), Immunology (248 citations) and Pulmonary and Respiratory Medicine (344 citations). Jin Gu has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Dengbo Ji, Lin Wang, Yunfeng Yao, Yong Cai, Changzheng Du, Masaru Tamura, Hoanh Tran, Kenneth M. Yamada, Jiafu Ji and Tiancheng Zhan. Their work appears in journals such as Diseases of the Colon & Rectum, International Journal of Colorectal Disease, Colorectal Disease, European Journal of Surgical Oncology and World Journal of Gastroenterology.

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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