Jin Gu
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Protease and Inhibitor Mechanisms
Papers in
- Oncology 7
- Colorectal Cancer Treatments and Studies 2
- Colorectal Cancer Surgical Treatments 2
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- Hepatocellular Carcinoma Treatment and Prognosis 7
- Co-authors
- An Huang (4 shared papers)Yong Yang (1 shared paper)Jingyi Shi (2 shared papers)Ming Li (1 shared paper)Xiaotian Shi (1 shared paper)Jiyou Li (1 shared paper)Yang Ke (1 shared paper)Ke‐Neng Chen (1 shared paper)
In The Last Decade
Jin Gu
32 papers receiving 429 citations
Peers
Comparison fields: 5 of 57
- Hepatology 68
- Cancer Research 74
- Oncology 132
- Pulmonary and Respiratory Medicine 48
- Immunology and Allergy 9
Countries citing papers authored by Jin Gu
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2005 | 90 | |
| 3 | 2021 | 37 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 22 | |
| 6 | 2015 | 17 | |
| 7 | 2014 | 17 | |
| 8 | 2016 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 6 | |
| 15 | [A clinicopathological observation of 15 cases of tuberculosis of the appendix]. | 1996 | 6 |
| 16 | 2022 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2017 | 4 |
About Jin Gu
Jin Gu is a scholar working on Oncology, Hepatology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology, having authored 37 papers that have together received 437 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cardiac Imaging and Diagnostics (3 papers), Advanced X-ray and CT Imaging (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Radiation Dose and Imaging (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Hepatology (68 citations), Cancer Research (74 citations), Oncology (132 citations), Pulmonary and Respiratory Medicine (48 citations) and Immunology and Allergy (9 citations). Jin Gu has collaborated with scholars based in China, Ethiopia and Hong Kong. Frequent co-authors include An Huang, Yong Yang, Jingyi Shi, Ming Li, Xiaotian Shi, Jiyou Li, Yang Ke, Ke‐Neng Chen, Erlei Zhang and Zhiyong Huang. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, BMC Cardiovascular Disorders, Cancer Imaging and International Journal of Medical Informatics.
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.