Daniel Kahn
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Peroxisome Proliferator-Activated Receptors
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Gene Regulatory Network Analysis
- Genetics top 10%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 11
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 7
- Gene Regulatory Network Analysis 6
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 3
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- Speech Recognition and Synthesis 3
- Co-authors
- Erik L. L. Sonnhammer (1 shared paper)Jérôme Gouzy (4 shared papers)F. Corpet (4 shared papers)Laurent Duret (4 shared papers)Jean-François Goût (3 shared papers)Carolyn Kelly (1 shared paper)Robyn Cunard (1 shared paper)Christopher K. Glass (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (3 papers)Journal of Bacteriology (2 papers)Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)PLoS Genetics (2 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Daniel Kahn
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.2k
- Genetics 215
- Plant Science 250
- Horticulture 6
- Pharmacology 99
Countries citing papers authored by Daniel Kahn
This map shows the geographic impact of Daniel Kahn'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 Daniel Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kahn more than expected).
Fields of papers citing papers by Daniel Kahn
This network shows the impact of papers produced by Daniel Kahn. 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 Daniel Kahn. The network helps show where Daniel Kahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kahn, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 253 | |
| 2 | 2002 | 209 | |
| 3 | 1994 | 183 | |
| 4 | 2010 | 150 | |
| 5 | 1999 | 140 | |
| 6 | 1999 | 62 | |
| 7 | 2010 | 49 | |
| 8 | 2007 | 44 | |
| 9 | 1993 | 35 | |
| 10 | 1983 | 35 | |
| 11 | 1984 | 33 | |
| 12 | 1980 | 32 | |
| 13 | 2009 | 29 | |
| 14 | 2012 | 26 | |
| 15 | 1997 | 23 | |
| 16 | 2012 | 22 | |
| 17 | 2010 | 19 | |
| 18 | 2006 | 16 | |
| 19 | 2011 | 16 | |
| 20 | 1997 | 15 |
About Daniel Kahn
Daniel Kahn is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Biochemistry and Plant Science, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (6 papers), Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (215 citations), Plant Science (250 citations), Horticulture (6 citations) and Pharmacology (99 citations). Daniel Kahn has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Erik L. L. Sonnhammer, Jérôme Gouzy, F. Corpet, Laurent Duret, Jean-François Goût, Carolyn Kelly, Robyn Cunard, Christopher K. Glass, Debra Archer and Mercedes Ricote. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Bacteriology, Bioinformatics, Journal of Theoretical Biology and PLoS Genetics.
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.