Ke Gu
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
-
- Cancer-related molecular mechanisms research
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Yanjun Zhou (7 shared papers)Chao Xu (2 shared papers)Shengjun Ji (16 shared papers)Jiandong Zhao (2 shared papers)Ningyi Ma (2 shared papers)Songtao Lai (2 shared papers)Yong Wen (4 shared papers)Guo-Liang Jiang (3 shared papers)
- Journals
- Frontiers in Nutrition (3 papers)Medicine (3 papers)Molecular Biology Reports (3 papers)Frontiers in Endocrinology (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ke Gu
45 papers receiving 476 citations
Peers
Comparison fields: 5 of 66
- Hepatology 98
- Cancer Research 53
- Applied Microbiology and Biotechnology 6
- Pathology and Forensic Medicine 45
- Oncology 68
Countries citing papers authored by Ke Gu
This map shows the geographic impact of Ke 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 Ke Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Gu more than expected).
Fields of papers citing papers by Ke Gu
This network shows the impact of papers produced by Ke 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 Ke Gu. The network helps show where Ke Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2011 | 33 | |
| 3 | 2010 | 33 | |
| 4 | 2016 | 31 | |
| 5 | 2019 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2023 | 21 | |
| 8 | 2010 | 19 | |
| 9 | 2010 | 18 | |
| 10 | 2013 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2022 | 13 | |
| 13 | Increased expression of stanniocalcin 2 is associated with tumor progression after radiotherapy in patients with cervical carcinoma. | 2014 | 13 |
| 14 | 2022 | 12 | |
| 15 | 2013 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2025 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2011 | 8 | |
| 20 | 2024 | 7 |
About Ke Gu
Ke Gu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Hepatology, having authored 48 papers that have together received 488 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer-related molecular mechanisms research (4 papers), Organ Transplantation Techniques and Outcomes (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Hepatology (98 citations), Cancer Research (53 citations), Applied Microbiology and Biotechnology (6 citations), Pathology and Forensic Medicine (45 citations) and Oncology (68 citations). Ke Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanjun Zhou, Chao Xu, Shengjun Ji, Jiandong Zhao, Ningyi Ma, Songtao Lai, Yong Wen, Guo-Liang Jiang, Yu Wen and Zhen Chen. Their work appears in journals such as Frontiers in Nutrition, Medicine, Molecular Biology Reports, Frontiers in Endocrinology and Cancer Letters.
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.