Kaihui Sha
Impact in
- Research and Theory top 10%
- Leadership and Management top 5%
Papers in
-
- Urinary Tract Infections Management 3
- Hepatitis B Virus Studies 2
- Liver Disease Diagnosis and Treatment 2
-
- RNA modifications and cancer 4
- Co-authors
- Tonggang Liu (9 shared papers)Mary H. Palmer (2 shared papers)Liguo Zhang (4 shared papers)Ning Huang (5 shared papers)Yunhua Li (2 shared papers)Xianxian Liu (2 shared papers)Fang Yang (3 shared papers)Xiaoying Wang (3 shared papers)
- Journals
- Microbial Pathogenesis (1 paper)Scientific Reports (1 paper)Food and Chemical Toxicology (1 paper)Oncology Reports (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Kaihui Sha
17 papers receiving 345 citations
Peers
Comparison fields: 5 of 95
- Research and Theory 18
- Leadership and Management 18
- Hepatology 43
- Cancer Research 45
- Endocrinology 15
Countries citing papers authored by Kaihui Sha
This map shows the geographic impact of Kaihui Sha'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 Kaihui Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaihui Sha more than expected).
Fields of papers citing papers by Kaihui Sha
This network shows the impact of papers produced by Kaihui Sha. 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 Kaihui Sha. The network helps show where Kaihui Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaihui Sha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 70 | |
| 2 | 2019 | 58 | |
| 3 | 2014 | 39 | |
| 4 | 2016 | 34 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Kaihui Sha
Kaihui Sha is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Hepatology and Surgery, having authored 19 papers that have together received 357 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (3 papers), Urinary Tract Infections Management (3 papers), Urinary Bladder and Prostate Research (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Escherichia coli research studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Research and Theory (18 citations), Leadership and Management (18 citations), Hepatology (43 citations), Cancer Research (45 citations) and Endocrinology (15 citations). Kaihui Sha has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Tonggang Liu, Mary H. Palmer, Liguo Zhang, Ning Huang, Yunhua Li, Xianxian Liu, Fang Yang, Xiaoying Wang, Han‐Wen Tian and Xiao‐Long Yang. Their work appears in journals such as Microbial Pathogenesis, Scientific Reports, Food and Chemical Toxicology, Oncology Reports and International Journal of Infectious Diseases.
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.