Daniel G. Peterson
Impact in
- Plant Science top 0.02%
- Plant Virus Research Studies
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Ecology top 0.05%
- Microbial Community Ecology and Physiology
Papers in
-
- Plant and Fungal Interactions Research 17
-
- Chromosomal and Genetic Variations 28
- Plant Virus Research Studies 26
- Research in Cotton Cultivation 21
- Plant Disease Resistance and Genetics 9
- Co-authors
- M NeiGlen StecherSudhir KumarKoichiro TamuraDale E. BaumanElvina MatitashviliAndrew H. PatersonStephen M. Stack
- Journals
- G3 Genes Genomes Genetics (8 papers)BMC Genomics (6 papers)Analytical Biochemistry (5 papers)PLoS ONE (5 papers)Genome Biology and Evolution (4 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Daniel G. Peterson
114 papers receiving 37.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Plant Science 12.6k
- Ecology 7.6k
- Endocrinology 1.5k
- Insect Science 3.2k
- Parasitology 1.7k
Countries citing papers authored by Daniel G. Peterson
This map shows the geographic impact of Daniel G. Peterson'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 G. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Peterson more than expected).
Fields of papers citing papers by Daniel G. Peterson
This network shows the impact of papers produced by Daniel G. Peterson. 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 G. Peterson. The network helps show where Daniel G. Peterson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Peterson, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 68 | |
| 14 | 2017 | 13 | |
| 15 | 2009 | 126 | |
| 16 | 2008 | 234 | |
| 17 | 2004 | 143 | |
| 18 | 2002 | 54 | |
| 19 | 2002 | 117 | |
| 20 | 2001 | 3 |
About Daniel G. Peterson
Daniel G. Peterson is a scholar working on Endocrinology, Plant Science, Agronomy and Crop Science, Horticulture and Biochemistry, having authored 118 papers that have together received 38.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (28 papers), Plant Virus Research Studies (26 papers), Research in Cotton Cultivation (21 papers), Genomics and Phylogenetic Studies (20 papers), Plant and Fungal Interactions Research (17 papers), Plant Disease Resistance and Genetics (9 papers), Fatty Acid Research and Health (7 papers) and Genetic diversity and population structure (7 papers). The work is most often cited by research in Plant Science (12.6k citations), Ecology (7.6k citations), Endocrinology (1.5k citations), Insect Science (3.2k citations) and Parasitology (1.7k citations). Daniel G. Peterson has collaborated with scholars based in United States, China and Australia. Frequent co-authors include M Nei, Glen Stecher, Sudhir Kumar, Koichiro Tamura, Dale E. Bauman, Elvina Matitashvili, Andrew H. Paterson, Stephen M. Stack, Zenaida V. Magbanua and D.E. Bauman. Their work appears in journals such as G3 Genes Genomes Genetics, BMC Genomics, Analytical Biochemistry, PLoS ONE and Genome Biology and Evolution.
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.