Jin Bai
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 9
-
- RNA modifications and cancer 24
- Ubiquitin and proteasome pathways 15
- Epigenetics and DNA Methylation 14
- Cancer-related gene regulation 13
- Co-authors
- Hui Jun Zhu (15 shared papers)Junnian Zheng (48 shared papers)Wenzhi Chen (14 shared papers)Pingfu Hou (35 shared papers)Kequan Li (12 shared papers)Hai-Bing Su (9 shared papers)Jianzhong Zou (11 shared papers)Feng Wu (7 shared papers)
- Journals
- Cell Death and Disease (12 papers)Ultrasound in Medicine & Biology (8 papers)International Journal of Biological Sciences (6 papers)Oncotarget (6 papers)Oncology Reports (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jin Bai
202 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 1.1k
- Hepatology 405
- Molecular Biology 2.7k
- Biomedical Engineering 1.7k
- Radiology, Nuclear Medicine and Imaging 775
Countries citing papers authored by Jin Bai
This map shows the geographic impact of Jin Bai'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 Jin Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Bai more than expected).
Fields of papers citing papers by Jin Bai
This network shows the impact of papers produced by Jin Bai. 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 Jin Bai. The network helps show where Jin Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Bai, 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 239 | |
| 2 | 2005 | 239 | |
| 3 | 2004 | 229 | |
| 4 | 2004 | 229 | |
| 5 | 2005 | 216 | |
| 6 | 2003 | 172 | |
| 7 | 2002 | 169 | |
| 8 | 2021 | 166 | |
| 9 | 2008 | 160 | |
| 10 | 2001 | 146 | |
| 11 | 2020 | 137 | |
| 12 | 2005 | 136 | |
| 13 | 2004 | 130 | |
| 14 | 2008 | 123 | |
| 15 | 2012 | 105 | |
| 16 | 2010 | 102 | |
| 17 | 2015 | 91 | |
| 18 | 2013 | 86 | |
| 19 | 2018 | 80 | |
| 20 | 2019 | 78 |
About Jin Bai
Jin Bai is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Biomedical Engineering, having authored 219 papers that have together received 6.7k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (24 papers), RNA modifications and cancer (24 papers), Ubiquitin and proteasome pathways (15 papers), Cancer-related molecular mechanisms research (15 papers), Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (13 papers), Telomeres, Telomerase, and Senescence (9 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Hepatology (405 citations), Molecular Biology (2.7k citations), Biomedical Engineering (1.7k citations) and Radiology, Nuclear Medicine and Imaging (775 citations). Jin Bai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hui Jun Zhu, Junnian Zheng, Wenzhi Chen, Pingfu Hou, Kequan Li, Hai-Bing Su, Jianzhong Zou, Feng Wu, Zhibiao Wang and Zhibiao Wang. Their work appears in journals such as Cell Death and Disease, Ultrasound in Medicine & Biology, International Journal of Biological Sciences, Oncotarget and Oncology Reports.
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.