D. D. Kohn
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
-
- Ecology and Vegetation Dynamics Studies
Papers in
-
- Genetically Modified Organisms Research 3
- Plant Pathogens and Resistance 1
- Genetics 5
- Genetic diversity and population structure 4
- Co-authors
- Denis M. Walsh (1 shared paper)Rosemary S. Hails (3 shared papers)Mark Rees (3 shared papers)Michael J. Crawley (2 shared papers)M. J. Crawley (1 shared paper)Jessica L. Buxton (1 shared paper)Susan L Brown (1 shared paper)Hinrich Kaiser (1 shared paper)
- Journals
- Nature (2 papers)Conservation Genetics (1 paper)Plants People Planet (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Oecologia (1 paper)
- Partner nations
- United KingdomCanadaGermany
In The Last Decade
D. D. Kohn
9 papers receiving 623 citations
Peers
Comparison fields: 5 of 66
- Ecological Modeling 85
- Nature and Landscape Conservation 220
- Plant Science 442
- Ecology, Evolution, Behavior and Systematics 168
- Biotechnology 64
Countries citing papers authored by D. D. Kohn
This map shows the geographic impact of D. D. Kohn'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 D. D. Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. D. Kohn more than expected).
Fields of papers citing papers by D. D. Kohn
This network shows the impact of papers produced by D. D. Kohn. 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 D. D. Kohn. The network helps show where D. D. Kohn may publish in the future.
Co-authors
The 20 scholars most cited alongside D. D. Kohn, 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 | 1994 | 250 | |
| 2 | 1993 | 212 | |
| 3 | 2001 | 133 | |
| 4 | 1997 | 69 | |
| 5 | 1988 | 56 | |
| 6 | 2008 | 15 | |
| 7 | 2019 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2004 | 0 |
About D. D. Kohn
D. D. Kohn is a scholar working on Plant Science, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 10 papers that have together received 743 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Plant and animal studies (4 papers), Genetically Modified Organisms Research (3 papers), CRISPR and Genetic Engineering (2 papers), Insect Resistance and Genetics (2 papers), Plant Pathogens and Resistance (1 paper), Plant and Fungal Species Descriptions (1 paper) and Isotope Analysis in Ecology (1 paper). The work is most often cited by research in Ecological Modeling (85 citations), Nature and Landscape Conservation (220 citations), Plant Science (442 citations), Ecology, Evolution, Behavior and Systematics (168 citations) and Biotechnology (64 citations). D. D. Kohn has collaborated with scholars based in United Kingdom, Canada and Germany. Frequent co-authors include Denis M. Walsh, Rosemary S. Hails, Mark Rees, Michael J. Crawley, M. J. Crawley, Jessica L. Buxton, Susan L Brown, Hinrich Kaiser, Adrian Evans and Robert H. Peters. Their work appears in journals such as Nature, Conservation Genetics, Plants People Planet, Proceedings of the Royal Society B Biological Sciences and Oecologia.
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.