Su Yan
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 5
- Gut microbiota and health 3
- Renal and related cancers 2
- TGF-β signaling in diseases 1
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- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Ambra Pozzi (1 shared paper)Roy Zent (1 shared paper)Ines Macias‐Perez (1 shared paper)Shouzuo Wei (1 shared paper)Jorge H. Capdevila (1 shared paper)John R. Falck (1 shared paper)Cheng Liu (1 shared paper)Nai‐Kong V. Cheung (1 shared paper)
- Journals
- Blood (2 papers)Clinical & Translational Oncology (1 paper)Oncology Reports (1 paper)Frontiers in Immunology (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Su Yan
18 papers receiving 600 citations
Peers
Comparison fields: 5 of 71
- Biochemistry 135
- Cancer Research 121
- Oncology 183
- Immunology 131
- Molecular Biology 290
Countries citing papers authored by Su Yan
This map shows the geographic impact of Su 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 Su Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Yan more than expected).
Fields of papers citing papers by Su Yan
This network shows the impact of papers produced by Su 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 Su Yan. The network helps show where Su Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Su 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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 147 | |
| 2 | 2013 | 136 | |
| 3 | 2017 | 62 | |
| 4 | 2012 | 60 | |
| 5 | 2014 | 41 | |
| 6 | 2013 | 35 | |
| 7 | 2013 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2018 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2014 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2020 | 8 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2026 | 0 |
About Su Yan
Su Yan is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Organic Chemistry, having authored 19 papers that have together received 608 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (3 papers), Gut microbiota and health (3 papers), Renal and related cancers (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Biochemistry (135 citations), Cancer Research (121 citations), Oncology (183 citations), Immunology (131 citations) and Molecular Biology (290 citations). Su Yan has collaborated with scholars based in China and United States. Frequent co-authors include Ambra Pozzi, Roy Zent, Ines Macias‐Perez, Shouzuo Wei, Jorge H. Capdevila, John R. Falck, Cheng Liu, Nai‐Kong V. Cheung, Dmitry Pankov and Andrew Scott. Their work appears in journals such as Blood, Clinical & Translational Oncology, Oncology Reports, Frontiers in Immunology and Diagnostic Pathology.
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.