Eric Wen Su
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Oncology top 10%
- Chemokine receptors and signaling
Papers in
-
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 3
- Genomics and Chromatin Dynamics 2
- Oncology 5
- Chemokine receptors and signaling 2
- Co-authors
- A. Keith Dunker (1 shared paper)Jiangang Liu (1 shared paper)Christopher J. Oldfield (1 shared paper)Vladimir N. Uversky (1 shared paper)Narayanan B. Perumal (1 shared paper)Jian Wang (1 shared paper)Donald C. Paul (1 shared paper)James Schrementi (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Biology Direct (1 paper)DNA and Cell Biology (1 paper)Biochemical and Biophysical Research Communications (1 paper)PeerJ (1 paper)
- Partner nations
- United StatesIsraelSpain
In The Last Decade
Eric Wen Su
19 papers receiving 1.2k citations
Eric Wen Su's Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 779
- Oncology 217
- Immunology 139
- Cancer Research 82
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Eric Wen Su
This map shows the geographic impact of Eric Wen 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 Eric Wen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Wen Su more than expected).
Fields of papers citing papers by Eric Wen Su
This network shows the impact of papers produced by Eric Wen 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 Eric Wen Su. The network helps show where Eric Wen Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Wen 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intrinsic Disorder in Transcription Factors Hit paper breakdown → | 2006 | 628 |
| 2 | 2006 | 174 | |
| 3 | 2005 | 67 | |
| 4 | 2011 | 59 | |
| 5 | 2022 | 51 | |
| 6 | 2006 | 49 | |
| 7 | 2003 | 45 | |
| 8 | 2004 | 36 | |
| 9 | 2005 | 35 | |
| 10 | 2021 | 33 | |
| 11 | 2017 | 23 | |
| 12 | 2007 | 16 | |
| 13 | 2007 | 11 | |
| 14 | 2005 | 10 | |
| 15 | 2007 | 8 | |
| 16 | 2006 | 7 | |
| 17 | 2006 | 4 | |
| 18 | 2018 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2006 | 0 |
About Eric Wen Su
Eric Wen Su is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Cancer Research and Pharmacology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (3 papers), Biomedical Text Mining and Ontologies (3 papers), Cancer Genomics and Diagnostics (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Chemokine receptors and signaling (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (779 citations), Oncology (217 citations), Immunology (139 citations), Cancer Research (82 citations) and Endocrinology, Diabetes and Metabolism (89 citations). Eric Wen Su has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include A. Keith Dunker, Jiangang Liu, Christopher J. Oldfield, Vladimir N. Uversky, Narayanan B. Perumal, Jian Wang, Donald C. Paul, James Schrementi, S Kovacevic and Sheng-Bin Peng. Their work appears in journals such as Journal of Clinical Oncology, Biology Direct, DNA and Cell Biology, Biochemical and Biophysical Research Communications and PeerJ.
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.