Shoujun Bai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Circular RNAs in diseases 7
- Renal and related cancers 2
- Kruppel-like factors research 2
- Extracellular vesicles in disease 2
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 6
- Co-authors
- Bo Tang (9 shared papers)Tingting Ji (10 shared papers)Yakun Wang (6 shared papers)Yingchun Zhu (7 shared papers)Tingting Ji (5 shared papers)Xiaolei Qu (6 shared papers)Xiaoyan Xiong (4 shared papers)Chun Zhu (2 shared papers)
- Journals
- Journal of Cellular Physiology (5 papers)Renal Failure (3 papers)Oxidative Medicine and Cellular Longevity (2 papers)Aging (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shoujun Bai
32 papers receiving 669 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 279
- Nephrology 95
- Molecular Biology 351
- Geriatrics and Gerontology 11
- Biomaterials 39
Countries citing papers authored by Shoujun Bai
This map shows the geographic impact of Shoujun 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 Shoujun Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoujun Bai more than expected).
Fields of papers citing papers by Shoujun Bai
This network shows the impact of papers produced by Shoujun 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 Shoujun Bai. The network helps show where Shoujun Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoujun 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2020 | 67 | |
| 3 | 2018 | 60 | |
| 4 | 2012 | 49 | |
| 5 | 2020 | 34 | |
| 6 | 2010 | 34 | |
| 7 | 2018 | 32 | |
| 8 | 2011 | 29 | |
| 9 | 2021 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2012 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2011 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 13 |
About Shoujun Bai
Shoujun Bai is a scholar working on Molecular Biology, Cancer Research, Nephrology, Cardiology and Cardiovascular Medicine and Immunology, having authored 33 papers that have together received 676 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (6 papers), Chronic Kidney Disease and Diabetes (3 papers), Lipid metabolism and disorders (3 papers), Renal and related cancers (2 papers), Kruppel-like factors research (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (279 citations), Nephrology (95 citations), Molecular Biology (351 citations), Geriatrics and Gerontology (11 citations) and Biomaterials (39 citations). Shoujun Bai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bo Tang, Tingting Ji, Yakun Wang, Yingchun Zhu, Tingting Ji, Xiaolei Qu, Xiaoyan Xiong, Chun Zhu, Ji Li and Xiaowei Wang. Their work appears in journals such as Journal of Cellular Physiology, Renal Failure, Oxidative Medicine and Cellular Longevity, Aging and Journal of Cellular and Molecular Medicine.
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.