Dan Tenenbaum
Impact in
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- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Epigenetics and DNA Methylation
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Biophysics top 10%
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Microbial Metabolic Engineering and Bioproduction 2
- Genomics and Phylogenetic Studies 1
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- Scientific Computing and Data Management 2
- Co-authors
- Michael P. Meers (1 shared paper)Steven Henikoff (1 shared paper)Nitin S. Baliga (5 shared papers)Oliver Kohlbacher (2 shared papers)Reinhard Schneider (2 shared papers)Hiroaki Kitano (2 shared papers)Heiko Neuweger (2 shared papers)Séan O’Donoghue (2 shared papers)
- Journals
- Journal of Virology (1 paper)Epigenetics & Chromatin (1 paper)BMC Bioinformatics (1 paper)Genome Research (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Dan Tenenbaum
8 papers receiving 837 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 589
- Biophysics 42
- Aging 6
- Computer Vision and Pattern Recognition 66
- Cancer Research 37
Countries citing papers authored by Dan Tenenbaum
This map shows the geographic impact of Dan Tenenbaum'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 Dan Tenenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Tenenbaum more than expected).
Fields of papers citing papers by Dan Tenenbaum
This network shows the impact of papers produced by Dan Tenenbaum. 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 Dan Tenenbaum. The network helps show where Dan Tenenbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Tenenbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 468 | |
| 2 | 2019 | 284 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 29 | |
| 5 | 2019 | 21 | |
| 6 | R Package Installation from Remote Repositories, Including 'GitHub' [R package remotes version 2.2.0] | 2020 | 3 |
| 7 | 2010 | 2 | |
| 8 | Visualization of omics data for systems | 2010 | 2 |
About Dan Tenenbaum
Dan Tenenbaum is a scholar working on Molecular Biology, Information Systems and Management, Computer Networks and Communications, Oncology and Epidemiology, having authored 8 papers that have together received 857 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (2 papers), Scientific Computing and Data Management (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Data Analysis with R (1 paper), Genomics and Phylogenetic Studies (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Molecular Biology (589 citations), Biophysics (42 citations), Aging (6 citations), Computer Vision and Pattern Recognition (66 citations) and Cancer Research (37 citations). Dan Tenenbaum has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael P. Meers, Steven Henikoff, Nitin S. Baliga, Oliver Kohlbacher, Reinhard Schneider, Hiroaki Kitano, Heiko Neuweger, Séan O’Donoghue, Matthew Hibbs and Anne‐Claude Gavin. Their work appears in journals such as Journal of Virology, Epigenetics & Chromatin, BMC Bioinformatics, Genome Research and Nature Methods.
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.