Guo‐Ming Shi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
Papers in
- Oncology 16
- Peptidase Inhibition and Analysis 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Jia Fan (25 shared papers)Zhen‐Bin Ding (15 shared papers)Ai‐Wu Ke (18 shared papers)Jian Zhou (17 shared papers)Ying‐Hong Shi (15 shared papers)Xiaoying Wang (9 shared papers)Shuang–Jian Qiu (8 shared papers)Qiang Gao (12 shared papers)
- Journals
- Clinical Cancer Research (3 papers)Hepatology (3 papers)Cancer Letters (2 papers)Cancer Research (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Guo‐Ming Shi
37 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 622
- Hepatology 213
- Oncology 691
- Immunology 480
- Physiology 71
Countries citing papers authored by Guo‐Ming Shi
This map shows the geographic impact of Guo‐Ming Shi'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 Guo‐Ming Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Ming Shi more than expected).
Fields of papers citing papers by Guo‐Ming Shi
This network shows the impact of papers produced by Guo‐Ming Shi. 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 Guo‐Ming Shi. The network helps show where Guo‐Ming Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo‐Ming Shi, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 236 | |
| 2 | 2010 | 224 | |
| 3 | 2013 | 182 | |
| 4 | 2011 | 155 | |
| 5 | 2013 | 138 | |
| 6 | 2012 | 136 | |
| 7 | 2021 | 125 | |
| 8 | 2011 | 122 | |
| 9 | 2022 | 106 | |
| 10 | 2017 | 95 | |
| 11 | 2012 | 87 | |
| 12 | 2012 | 58 | |
| 13 | 2023 | 54 | |
| 14 | 2016 | 44 | |
| 15 | 2015 | 42 | |
| 16 | 2014 | 37 | |
| 17 | 2021 | 26 | |
| 18 | 2014 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2013 | 20 |
About Guo‐Ming Shi
Guo‐Ming Shi is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Pathology and Forensic Medicine, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Autophagy in Disease and Therapy (6 papers), Peptidase Inhibition and Analysis (5 papers), Immune cells in cancer (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Cancer Research (622 citations), Hepatology (213 citations), Oncology (691 citations), Immunology (480 citations) and Physiology (71 citations). Guo‐Ming Shi has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Jia Fan, Zhen‐Bin Ding, Ai‐Wu Ke, Jian Zhou, Ying‐Hong Shi, Xiaoying Wang, Shuang–Jian Qiu, Qiang Gao, Yang Xu and Kang Song. Their work appears in journals such as Clinical Cancer Research, Hepatology, Cancer Letters, Cancer Research and Advanced Science.
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.