Dov Greenbaum
Impact in
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
-
- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 5
-
- Neuroethics, Human Enhancement, Biomedical Innovations 9
- Co-authors
- Mark Gerstein (24 shared papers)Christopher M. Colangelo (1 shared paper)Kenneth R. Williams (1 shared paper)Ronald Jansen (4 shared papers)Haiyuan Yu (3 shared papers)Jack Greenblatt (2 shared papers)Nicholas M. Luscombe (2 shared papers)Yuval Kluger (2 shared papers)
- Journals
- Science (15 papers)The American Journal of Bioethics (4 papers)Nature Biotechnology (3 papers)Trends in Genetics (2 papers)AJOB Neuroscience (10 papers)
- Partner nations
- United StatesIsraelRussia
In The Last Decade
Dov Greenbaum
62 papers receiving 3.8k citations
Dov Greenbaum's Hit Papers
Peers
Comparison fields: 5 of 189
- Molecular Biology 2.5k
- Computational Theory and Mathematics 304
- Aging 26
- Cancer Research 196
- Spectroscopy 228
Countries citing papers authored by Dov Greenbaum
This map shows the geographic impact of Dov Greenbaum'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 Dov Greenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dov Greenbaum more than expected).
Fields of papers citing papers by Dov Greenbaum
This network shows the impact of papers produced by Dov Greenbaum. 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 Dov Greenbaum. The network helps show where Dov Greenbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Dov Greenbaum, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparing protein abundance and mRNA expression levels on a genomic scale. Hit paper breakdown → | 2003 | 1359 |
| 2 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data Hit paper breakdown → | 2003 | 918 |
| 3 | 2004 | 246 | |
| 4 | 2011 | 244 | |
| 5 | 2001 | 233 | |
| 6 | 2002 | 204 | |
| 7 | 2002 | 139 | |
| 8 | 2004 | 96 | |
| 9 | 2002 | 72 | |
| 10 | 2001 | 72 | |
| 11 | 2011 | 49 | |
| 12 | 2020 | 35 | |
| 13 | 2002 | 33 | |
| 14 | 2016 | 25 | |
| 15 | 2005 | 20 | |
| 16 | 2015 | 16 | |
| 17 | 2010 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2006 | 14 | |
| 20 | 2017 | 14 |
About Dov Greenbaum
Dov Greenbaum is a scholar working on Molecular Biology, Cognitive Neuroscience, Artificial Intelligence, Public Health, Environmental and Occupational Health and Genetics, having authored 74 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroethics, Human Enhancement, Biomedical Innovations (9 papers), Biomedical Ethics and Regulation (5 papers), Bioinformatics and Genomic Networks (5 papers), Ethics in Clinical Research (5 papers), Intellectual Property and Patents (4 papers), Ethics and Social Impacts of AI (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Computational Theory and Mathematics (304 citations), Aging (26 citations), Cancer Research (196 citations) and Spectroscopy (228 citations). Dov Greenbaum has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Mark Gerstein, Christopher M. Colangelo, Kenneth R. Williams, Ronald Jansen, Haiyuan Yu, Jack Greenblatt, Nicholas M. Luscombe, Yuval Kluger, M Snyder and Nevan J. Krogan. Their work appears in journals such as Science, The American Journal of Bioethics, Nature Biotechnology, Trends in Genetics and AJOB Neuroscience.
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.