Shushan Yan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Extracellular vesicles in disease 13
- Circular RNAs in diseases 12
- Gut microbiota and health 4
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 11
- Co-authors
- Donghua Xu (34 shared papers)Jing‐Hua Wang (5 shared papers)Hongying Lu (2 shared papers)Chengwen Jin (5 shared papers)Beicheng Sun (8 shared papers)Min Cheng (5 shared papers)Ye Jiang (2 shared papers)Jinghan Yang (5 shared papers)
- Journals
- Tumor Biology (6 papers)Journal of Cellular Biochemistry (4 papers)Journal of Cellular Physiology (3 papers)Annals of the Rheumatic Diseases (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shushan Yan
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 881
- Nephrology 134
- Molecular Biology 1.2k
- Rheumatology 197
- Hepatology 98
Countries citing papers authored by Shushan Yan
This map shows the geographic impact of Shushan Yan'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 Shushan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shushan Yan more than expected).
Fields of papers citing papers by Shushan Yan
This network shows the impact of papers produced by Shushan Yan. 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 Shushan Yan. The network helps show where Shushan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shushan Yan, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2017 | 143 | |
| 3 | 2017 | 112 | |
| 4 | 2018 | 97 | |
| 5 | 2019 | 88 | |
| 6 | 2022 | 85 | |
| 7 | 2017 | 84 | |
| 8 | 2020 | 76 | |
| 9 | 2014 | 71 | |
| 10 | 2018 | 71 | |
| 11 | 2015 | 69 | |
| 12 | 2017 | 56 | |
| 13 | 2022 | 55 | |
| 14 | 2021 | 49 | |
| 15 | 2014 | 48 | |
| 16 | 2015 | 44 | |
| 17 | 2016 | 43 | |
| 18 | 2015 | 43 | |
| 19 | 2020 | 41 | |
| 20 | 2017 | 38 |
About Shushan Yan
Shushan Yan is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Immunology and Surgery, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Extracellular vesicles in disease (13 papers), Circular RNAs in diseases (12 papers), Cancer-related molecular mechanisms research (11 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Gut microbiota and health (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Cancer Research (881 citations), Nephrology (134 citations), Molecular Biology (1.2k citations), Rheumatology (197 citations) and Hepatology (98 citations). Shushan Yan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Donghua Xu, Jing‐Hua Wang, Hongying Lu, Chengwen Jin, Beicheng Sun, Min Cheng, Ye Jiang, Jinghan Yang, Min Shi and Xiaojie Lu. Their work appears in journals such as Tumor Biology, Journal of Cellular Biochemistry, Journal of Cellular Physiology, Annals of the Rheumatic Diseases and Frontiers in 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.