Debing Shi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Treatments and Studies
Papers in
- Co-authors
- Xinxiang Li (12 shared papers)Sanjun Cai (9 shared papers)Yongzhi Yang (6 shared papers)Yanlei Ma (5 shared papers)Jianqiang Liu (2 shared papers)Lutao Du (2 shared papers)Cheng Kong (3 shared papers)Ye Xu (9 shared papers)
- Journals
- Radiation Oncology (4 papers)Oncogene (2 papers)PLoS ONE (2 papers)Journal of Translational Medicine (2 papers)Life Science Alliance (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Debing Shi
29 papers receiving 954 citations
Debing Shi's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 209
- Oncology 308
- Molecular Biology 422
- Surgery 125
- Gastroenterology 14
Countries citing papers authored by Debing Shi
This map shows the geographic impact of Debing 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 Debing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debing Shi more than expected).
Fields of papers citing papers by Debing Shi
This network shows the impact of papers produced by Debing 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 Debing Shi. The network helps show where Debing Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Debing 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 175 | |
| 2 | Integrated metagenomic and metabolomic analysis reveals distinct gut-microbiome-derived phenotypes in early-onset colorectal cancer Hit paper breakdown → | 2022 | 168 |
| 3 | 2013 | 84 | |
| 4 | 2021 | 73 | |
| 5 | 2014 | 70 | |
| 6 | 2014 | 52 | |
| 7 | 2015 | 44 | |
| 8 | 2011 | 40 | |
| 9 | 2014 | 35 | |
| 10 | 2022 | 34 | |
| 11 | 2013 | 30 | |
| 12 | 2023 | 28 | |
| 13 | 2014 | 21 | |
| 14 | 2014 | 15 | |
| 15 | 2016 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2014 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2023 | 7 |
About Debing Shi
Debing Shi is a scholar working on Oncology, Surgery, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 960 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (11 papers), Cancer-related molecular mechanisms research (5 papers), Colorectal and Anal Carcinomas (4 papers), Gut microbiota and health (2 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Mechanisms and Therapy (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Cancer Research (209 citations), Oncology (308 citations), Molecular Biology (422 citations), Surgery (125 citations) and Gastroenterology (14 citations). Debing Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinxiang Li, Sanjun Cai, Yongzhi Yang, Yanlei Ma, Jianqiang Liu, Lutao Du, Cheng Kong, Ye Xu, Junjie Peng and Guang Liu. Their work appears in journals such as Radiation Oncology, Oncogene, PLoS ONE, Journal of Translational Medicine and Life Science Alliance.
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.