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 8
- Kruppel-like factors research 3
- Renal and related cancers 3
- Connective Tissue Growth Factor Research 3
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 8
- Co-authors
- Bo Tang (10 shared papers)Tingting Ji (10 shared papers)Yakun Wang (6 shared papers)Tingting Ji (6 shared papers)Xiaolei Qu (7 shared papers)Yingchun Zhu (7 shared papers)Xiaoyan Xiong (4 shared papers)Chun Zhu (2 shared papers)
- Journals
- Journal of Cellular Physiology (5 papers)Renal Failure (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Aging (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shoujun Bai
31 papers receiving 686 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 372
- Nephrology 110
- Molecular Biology 434
- Geriatrics and Gerontology 12
- 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2020 | 65 | |
| 3 | 2018 | 60 | |
| 4 | 2012 | 49 | |
| 5 | 2020 | 37 | |
| 6 | 2010 | 34 | |
| 7 | 2020 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2011 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2012 | 23 | |
| 13 | 2019 | 21 | |
| 14 | 2011 | 20 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2019 | 13 |
About Shoujun Bai
Shoujun Bai is a scholar working on Molecular Biology, Cancer Research, Nephrology, Cardiology and Cardiovascular Medicine and Immunology, having authored 34 papers that have together received 694 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (8 papers), Kruppel-like factors research (3 papers), Renal and related cancers (3 papers), Connective Tissue Growth Factor Research (3 papers), Lipid metabolism and disorders (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Cancer Research (372 citations), Nephrology (110 citations), Molecular Biology (434 citations), Geriatrics and Gerontology (12 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, Tingting Ji, Xiaolei Qu, Yingchun Zhu, Xiaoyan Xiong, Chun Zhu, Ji Li and Xiaowei Wang. Their work appears in journals such as Journal of Cellular Physiology, Renal Failure, Journal of Cellular and Molecular Medicine, Aging and Oxidative Medicine and Cellular Longevity.
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.