Zhaohui Jin
- Molecular Biology top 10%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Frank A. SinicropeXianhua PiaoXingming DengFengqin GaoDan ShaJan BudcziesAlbrecht StenzingerKlaus Kluck
- Topics
- Colorectal Cancer Treatments and Studies (29 papers)Genetic factors in colorectal cancer (28 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (24 papers)
- Cited by
- OncologyCancer ResearchHepatology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhaohui Jin
124 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.3k
- Oncology 1.1k
- Pulmonary and Respiratory Medicine 585
- Cancer Research 466
- Surgery 420
Countries citing papers authored by Zhaohui Jin
This map shows the geographic impact of Zhaohui Jin'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 Zhaohui Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaohui Jin more than expected).
Fields of papers citing papers by Zhaohui Jin
This network shows the impact of papers produced by Zhaohui Jin. 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 Zhaohui Jin. The network helps show where Zhaohui Jin may publish in the future.
Co-authorship network of co-authors of Zhaohui Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohui Jin. A scholar is included among the top collaborators of Zhaohui Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhaohui Jin. Zhaohui Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | Tumor Mutational Burden as a Predictive Biomarker in Solid Tumorsbreakdown → | 510 |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 214 |
About Zhaohui Jin
Zhaohui Jin is a scholar working on Oncology, Pathology and Forensic Medicine and Hepatology, having authored 138 papers that have together received 3.0k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (29 papers), Genetic factors in colorectal cancer (28 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (24 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (466 citations) and Hepatology (208 citations). Zhaohui Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Frank A. Sinicrope, Xianhua Piao, Xingming Deng, Fengqin Gao, Dan Sha, Jan Budczies, Albrecht Stenzinger, Klaus Kluck, Tammy Flagg and Rong Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.