Mitchell R. Tuinstra
- Plant Science top 0.5%
- Genetics top 1%
- Agronomy and Crop Science top 0.2%
- Molecular Biology
- Nutrition and Dietetics top 2%
- Co-authors
- Gebisa EjetaPeter B. GoldsbroughJianming YuHesham A. AgramaTesfaye TessoScott R. BeanP. V. Vara PrasadRaymond N. Mutava
- Topics
- Bioenergy crop production and management (42 papers)Genetic Mapping and Diversity in Plants and Animals (37 papers)Genetics and Plant Breeding (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Mitchell R. Tuinstra
109 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Plant Science 3.1k
- Genetics 1.5k
- Agronomy and Crop Science 1.4k
- Molecular Biology 617
- Nutrition and Dietetics 501
Countries citing papers authored by Mitchell R. Tuinstra
This map shows the geographic impact of Mitchell R. Tuinstra'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 Mitchell R. Tuinstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell R. Tuinstra more than expected).
Fields of papers citing papers by Mitchell R. Tuinstra
This network shows the impact of papers produced by Mitchell R. Tuinstra. 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 Mitchell R. Tuinstra. The network helps show where Mitchell R. Tuinstra may publish in the future.
Co-authorship network of co-authors of Mitchell R. Tuinstra
This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell R. Tuinstra. A scholar is included among the top collaborators of Mitchell R. Tuinstra 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 Mitchell R. Tuinstra. Mitchell R. Tuinstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 27 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 48 | |
| 17 | 10 | |
| 18 | An improved method for screening Fusarium stalk rot resistance in grain sorghum (Sorghum bicolor (L.) Moench.) | 8 |
| 19 | 31 | |
| 20 | Greenbug (Homoptera: Aphididae) resistance in sorghum: characterization of KS 97. | 8 |
About Mitchell R. Tuinstra
Mitchell R. Tuinstra is a scholar working on Agronomy and Crop Science, Plant Science and Genetics, having authored 110 papers that have together received 4.3k indexed citations. Recurring topics across this work include Bioenergy crop production and management (42 papers), Genetic Mapping and Diversity in Plants and Animals (37 papers) and Genetics and Plant Breeding (18 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Plant Science (3.1k citations) and Genetics (1.5k citations). Mitchell R. Tuinstra has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Gebisa Ejeta, Peter B. Goldsbrough, Jianming Yu, Hesham A. Agrama, Tesfaye Tesso, Scott R. Bean, P. V. Vara Prasad, Raymond N. Mutava, Stephen Kresovich and Paul A. Seib. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.
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.