Edward Suh
Impact in
- Hardware and Architecture top 5%
- Parasitology top 10%
Papers in
-
- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 7
- Gene Regulatory Network Analysis 4
- Genetics, Bioinformatics, and Biomedical Research 2
- Machine Learning in Bioinformatics 2
-
- Algorithms and Data Compression 4
- Co-authors
- James Lowey (8 shared papers)Edward R. Dougherty (11 shared papers)E.R. Dougherty (1 shared paper)Hua Jiang (1 shared paper)Zhe Xiong (1 shared paper)Chao Sima (2 shared papers)Jianping Hua (4 shared papers)Seungchan Kim (5 shared papers)
- Journals
- Pattern Recognition (2 papers)Science (2 papers)Technology in Cancer Research & Treatment (1 paper)Bioinformatics (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Edward Suh
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 170
- Hardware and Architecture 88
- Parasitology 66
- Molecular Biology 649
- Artificial Intelligence 299
- Public Health, Environmental and Occupational Health 193
Countries citing papers authored by Edward Suh
This map shows the geographic impact of Edward Suh'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 Edward Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Suh more than expected).
Fields of papers citing papers by Edward Suh
This network shows the impact of papers produced by Edward Suh. 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 Edward Suh. The network helps show where Edward Suh may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Suh, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 320 | |
| 2 | 2003 | 279 | |
| 3 | 2006 | 155 | |
| 4 | 2010 | 134 | |
| 5 | 2002 | 117 | |
| 6 | 2005 | 71 | |
| 7 | 2010 | 63 | |
| 8 | 2009 | 62 | |
| 9 | 2009 | 56 | |
| 10 | 2004 | 55 | |
| 11 | Microarray reveals differences in both tumors and vascular specific gene expression in de novo CD5+ and CD5- diffuse large B-cell lymphomas. | 2003 | 53 |
| 12 | Dynamic Cache Partitioning for Simultaneous Multithreading Systems | 2004 | 40 |
| 13 | 2005 | 39 | |
| 14 | 1994 | 29 | |
| 15 | 2002 | 26 | |
| 16 | 2004 | 22 | |
| 17 | 2006 | 19 | |
| 18 | 2003 | 18 | |
| 19 | 2006 | 16 | |
| 20 | 2006 | 15 |
About Edward Suh
Edward Suh is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Statistics and Probability, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (7 papers), Gene Regulatory Network Analysis (4 papers), Algorithms and Data Compression (4 papers), Statistical Methods and Inference (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Machine Learning in Bioinformatics (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Hardware and Architecture (88 citations), Parasitology (66 citations), Molecular Biology (649 citations), Artificial Intelligence (299 citations) and Public Health, Environmental and Occupational Health (193 citations). Edward Suh has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include James Lowey, Edward R. Dougherty, E.R. Dougherty, Hua Jiang, Zhe Xiong, Chao Sima, Jianping Hua, Seungchan Kim, Antoniana U. Krettli and Peter Beerli. Their work appears in journals such as Pattern Recognition, Science, Technology in Cancer Research & Treatment, Bioinformatics and International Journal of 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.