Xiaohan Shi
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
- Oncology 23
- Pancreatic and Hepatic Oncology Research 21
-
- Epigenetics and DNA Methylation 4
- Co-authors
- Xiaochuan Xie (13 shared papers)Shiwei Guo (25 shared papers)Gang Jin (17 shared papers)Min Liu (1 shared paper)Li Rao (5 shared papers)Suizhi Gao (21 shared papers)Shangwei Li (2 shared papers)Yang Jia (1 shared paper)
- Journals
- Surgery (3 papers)Frontiers in Oncology (3 papers)International Journal of Surgery (2 papers)BMC Cancer (2 papers)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaohan Shi
41 papers receiving 710 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 147
- Oncology 226
- Reproductive Medicine 39
- Immunology 77
- Obstetrics and Gynecology 22
Countries citing papers authored by Xiaohan Shi
This map shows the geographic impact of Xiaohan 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 Xiaohan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Shi more than expected).
Fields of papers citing papers by Xiaohan Shi
This network shows the impact of papers produced by Xiaohan 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 Xiaohan Shi. The network helps show where Xiaohan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2017 | 69 | |
| 3 | 2020 | 63 | |
| 4 | 2016 | 60 | |
| 5 | 2016 | 58 | |
| 6 | 2023 | 50 | |
| 7 | 2017 | 50 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 29 | |
| 10 | 2020 | 25 | |
| 11 | 2022 | 25 | |
| 12 | 2020 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2016 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2017 | 8 |
About Xiaohan Shi
Xiaohan Shi is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Surgery, having authored 45 papers that have together received 729 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (21 papers), Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (4 papers), Gastric Cancer Management and Outcomes (3 papers), Pain Management and Treatment (2 papers), Pain Mechanisms and Treatments (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (147 citations), Oncology (226 citations), Reproductive Medicine (39 citations), Immunology (77 citations) and Obstetrics and Gynecology (22 citations). Xiaohan Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaochuan Xie, Shiwei Guo, Gang Jin, Min Liu, Li Rao, Suizhi Gao, Shangwei Li, Yang Jia, Bo Li and Huan Wang. Their work appears in journals such as Surgery, Frontiers in Oncology, International Journal of Surgery, BMC Cancer and The FASEB Journal.
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.