David J. Peterson
- Molecular Biology
- Plant Science top 5%
- Biotechnology top 2%
- Nature and Landscape Conservation top 10%
- Materials Chemistry
- Co-authors
- Chris L. BaszczynskiTong ZhuLaura TaglianiGrace St. ClairBen BowenBrian G. TrewynJustin S. ValensteinSusana Martin‐Ortigosa
- Topics
- Plant tissue culture and regeneration (6 papers)CRISPR and Genetic Engineering (4 papers)Remote Sensing and LiDAR Applications (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
David J. Peterson
16 papers receiving 865 citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 605
- Plant Science 456
- Biotechnology 227
- Nature and Landscape Conservation 66
- Materials Chemistry 61
Countries citing papers authored by David J. Peterson
This map shows the geographic impact of David J. 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 David J. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Peterson more than expected).
Fields of papers citing papers by David J. Peterson
This network shows the impact of papers produced by David J. 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 David J. Peterson. The network helps show where David J. Peterson may publish in the future.
Co-authorship network of co-authors of David J. Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Peterson. A scholar is included among the top collaborators of David J. Peterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Peterson. David J. Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Art of Language Invention: From Horse-Lords to Dark Elves, the Words Behind World-Building | 17 |
| 2 | 16 | |
| 3 | 153 | |
| 4 | 75 | |
| 5 | 57 | |
| 6 | 110 | |
| 7 | 101 | |
| 8 | Forest Monitoring and Remote Sensing | 1 |
| 9 | 145 | |
| 10 | Forest Monitoring and Remote Sensing: A Survey of Accomplishments and Opportunities for the Future | 7 |
| 11 | 65 | |
| 12 | 41 | |
| 13 | 143 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Noun phrase specificity | 1 |
| 17 | 13 |
About David J. Peterson
David J. Peterson is a scholar working on Developmental Neuroscience, Biotechnology and Plant Science, having authored 17 papers that have together received 949 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (6 papers), CRISPR and Genetic Engineering (4 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Biotechnology (227 citations), Developmental Neuroscience (51 citations) and Plant Science (456 citations). David J. Peterson has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Chris L. Baszczynski, Tong Zhu, Laura Tagliani, Grace St. Clair, Ben Bowen, Brian G. Trewyn, Justin S. Valenstein, Susana Martin‐Ortigosa, Kan Wang and Victor S.-Y. Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLANT PHYSIOLOGY.
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.