Yan Ru Su
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cancer Research top 10%
Papers in
-
- DNA Repair Mechanisms 10
- DNA and Nucleic Acid Chemistry 5
- RNA and protein synthesis mechanisms 4
- Immunology 10
- Atherosclerosis and Cardiovascular Diseases 4
- Co-authors
- MacRae F. Linton (9 shared papers)F. Peter Guengerich (10 shared papers)Martin Egli (6 shared papers)Sergio Fazio (7 shared papers)Ambra Pozzi (10 shared papers)Roy Zent (10 shared papers)Xiwu Chen (6 shared papers)Amy S. Major (4 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Circulation (4 papers)Journal of Lipid Research (3 papers)Kidney International (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yan Ru Su
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Immunology and Allergy 183
- Cancer Research 207
- Nephrology 96
- Molecular Biology 857
- Immunology 226
Countries citing papers authored by Yan Ru Su
This map shows the geographic impact of Yan Ru Su'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 Yan Ru Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ru Su more than expected).
Fields of papers citing papers by Yan Ru Su
This network shows the impact of papers produced by Yan Ru Su. 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 Yan Ru Su. The network helps show where Yan Ru Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ru Su, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 176 | |
| 2 | 2007 | 95 | |
| 3 | 2004 | 87 | |
| 4 | 2014 | 80 | |
| 5 | 2006 | 80 | |
| 6 | 2012 | 76 | |
| 7 | 2006 | 60 | |
| 8 | 2012 | 57 | |
| 9 | 2023 | 57 | |
| 10 | 2013 | 54 | |
| 11 | 2005 | 53 | |
| 12 | 2013 | 51 | |
| 13 | 2006 | 48 | |
| 14 | 2015 | 48 | |
| 15 | 2007 | 45 | |
| 16 | 2019 | 42 | |
| 17 | 2011 | 41 | |
| 18 | 2001 | 41 | |
| 19 | 2016 | 40 | |
| 20 | 2015 | 38 |
About Yan Ru Su
Yan Ru Su is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Surgery and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Cell Adhesion Molecules Research (8 papers), Cholesterol and Lipid Metabolism (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Heart Failure Treatment and Management (4 papers), RNA and protein synthesis mechanisms (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Immunology and Allergy (183 citations), Cancer Research (207 citations), Nephrology (96 citations), Molecular Biology (857 citations) and Immunology (226 citations). Yan Ru Su has collaborated with scholars based in United States, China and Australia. Frequent co-authors include MacRae F. Linton, F. Peter Guengerich, Martin Egli, Sergio Fazio, Ambra Pozzi, Roy Zent, Xiwu Chen, Amy S. Major, Sergio Fazio and Robert Mans. Their work appears in journals such as Journal of Biological Chemistry, Circulation, Journal of Lipid Research, Kidney International and Arteriosclerosis Thrombosis and Vascular Biology.
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.