Jin Fa Gu

4.4k citations
150 papers · 3.5k · h-index 32

Impact in

  • Oncology top 2%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Treatments and Studies
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • MicroRNA in disease regulation

Papers in

    • Colorectal Cancer Surgical Treatments 60
    • Colorectal Cancer Treatments and Studies 25
    • Cancer Immunotherapy and Biomarkers 4
    • MicroRNA in disease regulation 5

Jin Fa Gu

145 papers receiving 3.4k citations

Peers

Jin Fa Gu
Comparison fields: 5 of 98
  • Oncology 1.3k
  • Cancer Research 523
  • Radiology, Nuclear Medicine and Imaging 321
  • Pulmonary and Respiratory Medicine 327
  • Geriatrics and Gerontology 31
Replace Katsunori Imai with:
Katsunori Imai Japan
Kosei Maemura Japan
Salomon Manier France
Xishan Wang China
Geoffrey L. Uy United States
Colin J. McKay United Kingdom
Saranya Chumsri United States
Enrique Lerma Spain
Michael O. Idowu United States
Haiko J. Bloemendal Netherlands
Jin Fa Gu relative to Katsunori Imai Japan Katsunori Imai's profile →
Citations per field
00.5×1.5×2.2×
Katsunori Imai · 1×
Citations per year

Countries citing papers authored by Jin Fa Gu

Since Specialization
Citations

This map shows the geographic impact of Jin Fa 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 Fa 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 Fa Gu more than expected).

Fields of papers citing papers by Jin Fa Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009245
2 2011180
3 1999161
4 2014137
5 2020126
6 2020114
7 201992
8 200585
9 201771
10 200968
11 202065
12 201762
13 201859
14 201856
15 200652
16 201850
17 200949
18 201348
19 201648
20 201046

About Jin Fa Gu

Jin Fa Gu is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 150 papers that have together received 3.5k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (60 papers), Colorectal Cancer Treatments and Studies (25 papers), Virus-based gene therapy research (9 papers), Genetic factors in colorectal cancer (7 papers), Sarcoma Diagnosis and Treatment (7 papers), Mechanisms of cancer metastasis (6 papers), MicroRNA in disease regulation (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (523 citations), Radiology, Nuclear Medicine and Imaging (321 citations), Pulmonary and Respiratory Medicine (327 citations) and Geriatrics and Gerontology (31 citations). Jin Fa Gu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dengbo Ji, Lin Wang, Yunfeng Yao, Yong Cai, Changzheng Du, Tiancheng Zhan, Jiafu Ji, Kenneth M. Yamada, Ying‐Shi Sun and Xiao‐Peng Zhang. Their work appears in journals such as Diseases of the Colon & Rectum, European Journal of Surgical Oncology, BMC Cancer, World Journal of Gastroenterology and Colorectal Disease.

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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