Daniel Kahn
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Pollution top 10%
- Wastewater Treatment and Nitrogen Removal
Papers in
-
- Protein Structure and Dynamics 3
- Gene Regulatory Network Analysis 2
-
- Hemoglobin structure and function 3
- Co-authors
- Hans V. Westerhoff (8 shared papers)Douwe Molenaar (2 shared papers)Sjouke Hoving (2 shared papers)Wally C. van Heeswijk (2 shared papers)Jacques Batut (2 shared papers)M. David (2 shared papers)Jeanne M. E. Jacobs (1 shared paper)Marie‐Line Daveran‐Mingot (1 shared paper)
- Journals
- Bioinformatics (1 paper)The EMBO Journal (1 paper)Genes & Development (1 paper)Language Resources and Evaluation (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- FranceNetherlandsUnited Kingdom
In The Last Decade
Daniel Kahn
15 papers receiving 754 citations
Peers
Comparison fields: 5 of 82
- Biochemistry 74
- Pollution 108
- Molecular Biology 460
- Plant Science 239
- Genetics 165
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
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 201 | |
| 2 | 1996 | 187 | |
| 3 | 1991 | 139 | |
| 4 | 1993 | 86 | |
| 5 | 1995 | 55 | |
| 6 | 1997 | 37 | |
| 7 | 1999 | 19 | |
| 8 | 1991 | 13 | |
| 9 | 1992 | 12 | |
| 10 | 1993 | 11 | |
| 11 | 1965 | 11 | |
| 12 | 1998 | 5 | |
| 13 | 1987 | 5 | |
| 14 | 1995 | 3 | |
| 15 | 1981 | 1 | |
| 16 | 2000 | 1 |
About Daniel Kahn
Daniel Kahn is a scholar working on Molecular Biology, Cell Biology, Plant Science, Artificial Intelligence and Physical and Theoretical Chemistry, having authored 16 papers that have together received 786 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (3 papers), Protein Structure and Dynamics (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Hemoglobin structure and function (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Speech and dialogue systems (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Biochemistry (74 citations), Pollution (108 citations), Molecular Biology (460 citations), Plant Science (239 citations) and Genetics (165 citations). Daniel Kahn has collaborated with scholars based in France, Netherlands and United Kingdom. Frequent co-authors include Hans V. Westerhoff, Douwe Molenaar, Sjouke Hoving, Wally C. van Heeswijk, Jacques Batut, M. David, Jeanne M. E. Jacobs, Marie‐Line Daveran‐Mingot, Stefan Schuster and Douglas B. Kell. Their work appears in journals such as Bioinformatics, The EMBO Journal, Genes & Development, Language Resources and Evaluation and Journal of Theoretical Biology.
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.