Doheon Lee
Impact in
- Biological Psychiatry top 2%
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Photosynthetic Processes and Mechanisms
- Gene Regulatory Network Analysis
Papers in
-
- Bioinformatics and Genomic Networks 46
- Gene expression and cancer classification 22
- Biomedical Text Mining and Ontologies 22
- Metabolomics and Mass Spectrometry Studies 13
- Gene Regulatory Network Analysis 13
- Co-authors
- Trey Ideker (2 shared papers)Han‐Yu Chuang (2 shared papers)Kwang H. Lee (25 shared papers)Eunjung Lee (6 shared papers)Dae‐Won Kim (13 shared papers)Yu‐Tsueng Liu (1 shared paper)Dokyun Na (8 shared papers)Giltsu Choi (4 shared papers)
- Journals
- BMC Bioinformatics (20 papers)Scientific Reports (11 papers)Bioinformatics (9 papers)Nucleic Acids Research (9 papers)PLoS ONE (6 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Doheon Lee
211 papers receiving 6.7k citations
Doheon Lee's Hit Papers
Peers
Comparison fields: 5 of 195
- Biological Psychiatry 142
- Molecular Biology 3.7k
- Computational Theory and Mathematics 794
- Cancer Research 385
- Artificial Intelligence 851
Countries citing papers authored by Doheon Lee
This map shows the geographic impact of Doheon Lee'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 Doheon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doheon Lee more than expected).
Fields of papers citing papers by Doheon Lee
This network shows the impact of papers produced by Doheon Lee. 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 Doheon Lee. The network helps show where Doheon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Doheon Lee, 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 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network‐based classification of breast cancer metastasis Hit paper breakdown → | 2007 | 1082 |
| 2 | 2008 | 423 | |
| 3 | 2009 | 413 | |
| 4 | Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals Hit paper breakdown → | 2020 | 334 |
| 5 | 2009 | 311 | |
| 6 | 2016 | 264 | |
| 7 | 2004 | 168 | |
| 8 | 2013 | 159 | |
| 9 | 2003 | 157 | |
| 10 | 2010 | 124 | |
| 11 | 2009 | 123 | |
| 12 | 2004 | 115 | |
| 13 | 2009 | 113 | |
| 14 | 2014 | 110 | |
| 15 | 2004 | 100 | |
| 16 | 2012 | 99 | |
| 17 | 2011 | 83 | |
| 18 | 2008 | 77 | |
| 19 | 2013 | 74 | |
| 20 | 2004 | 73 |
About Doheon Lee
Doheon Lee is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Cancer Research, having authored 224 papers that have together received 6.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (46 papers), Computational Drug Discovery Methods (32 papers), Gene expression and cancer classification (22 papers), Biomedical Text Mining and Ontologies (22 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Gene Regulatory Network Analysis (13 papers), Data Mining Algorithms and Applications (10 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Biological Psychiatry (142 citations), Molecular Biology (3.7k citations), Computational Theory and Mathematics (794 citations), Cancer Research (385 citations) and Artificial Intelligence (851 citations). Doheon Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Trey Ideker, Han‐Yu Chuang, Kwang H. Lee, Eunjung Lee, Dae‐Won Kim, Yu‐Tsueng Liu, Dokyun Na, Giltsu Choi, Jong‐Won Kim and Eunjung Lee. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, Bioinformatics, Nucleic Acids Research and PLoS ONE.
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.