Hai Jin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 10%
Papers in
-
- Ion Transport and Channel Regulation 9
- Ion channel regulation and function 5
- Surgery 15
- Helicobacter pylori-related gastroenterology studies 4
- Esophageal Cancer Research and Treatment 4
- Co-authors
- Feng Jin (10 shared papers)Jingshan Shi (9 shared papers)Nanqu Huang (6 shared papers)Shaoyu Zhou (5 shared papers)Biguang Tuo (25 shared papers)Ying Zhang (2 shared papers)Guorong Wen (17 shared papers)Jingyu Xu (10 shared papers)
- Journals
- Carcinogenesis (3 papers)Tumor Biology (3 papers)International Journal of Molecular Medicine (2 papers)International Journal of Oncology (2 papers)Behavioural Brain Research (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hai Jin
71 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 281
- Biological Psychiatry 44
- Neurology 122
- Physiology 68
- Pharmacology 109
Countries citing papers authored by Hai Jin
This map shows the geographic impact of Hai 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 Hai Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Jin more than expected).
Fields of papers citing papers by Hai Jin
This network shows the impact of papers produced by Hai 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 Hai Jin. The network helps show where Hai Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Jin, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 240 | |
| 2 | 2014 | 113 | |
| 3 | 2016 | 102 | |
| 4 | 2014 | 75 | |
| 5 | 2014 | 74 | |
| 6 | 2014 | 67 | |
| 7 | 2014 | 54 | |
| 8 | 2012 | 54 | |
| 9 | 2020 | 53 | |
| 10 | 2019 | 53 | |
| 11 | 2016 | 51 | |
| 12 | 2016 | 49 | |
| 13 | 2018 | 46 | |
| 14 | 2018 | 46 | |
| 15 | 2015 | 43 | |
| 16 | 2020 | 42 | |
| 17 | 2012 | 38 | |
| 18 | 2017 | 38 | |
| 19 | 2017 | 34 | |
| 20 | 2022 | 31 |
About Hai Jin
Hai Jin is a scholar working on Molecular Biology, Surgery, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (9 papers), Ion channel regulation and function (5 papers), MicroRNA in disease regulation (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Genomics and Diagnostics (4 papers), Cancer-related Molecular Pathways (4 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Cancer Research (281 citations), Biological Psychiatry (44 citations), Neurology (122 citations), Physiology (68 citations) and Pharmacology (109 citations). Hai Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Feng Jin, Jingshan Shi, Nanqu Huang, Shaoyu Zhou, Biguang Tuo, Ying Zhang, Guorong Wen, Jingyu Xu, Tiejun Zhao and Xianfu Gao. Their work appears in journals such as Carcinogenesis, Tumor Biology, International Journal of Molecular Medicine, International Journal of Oncology and Behavioural Brain Research.
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.