Evan Long
Impact in
- Complementary and Manual Therapy top 10%
Papers in
-
- Cassava research and cyanide 4
- Plant Virus Research Studies 2
- Research in Cotton Cultivation 2
- Genetic and Environmental Crop Studies 2
- Chromosomal and Genetic Variations 2
- Agricultural pest management studies 1
- Co-authors
- Joshua A. Udall (3 shared papers)Corrinne E. Grover (2 shared papers)Justin L. Conover (2 shared papers)Thiruvarangan Ramaraj (2 shared papers)Mark A. Arick (2 shared papers)Daojun Yuan (2 shared papers)Jonathan F. Wendel (2 shared papers)Lei Gong (2 shared papers)
- Journals
- G3 Genes Genomes Genetics (4 papers)Frontiers in Plant Science (2 papers)The Journal of Immunology (1 paper)Pathogens and Global Health (1 paper)New Phytologist (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Evan Long
10 papers receiving 193 citations
Peers
Comparison fields: 5 of 49
- Horticulture 7
- Complementary and Manual Therapy 12
- Plant Science 113
- Endocrinology 13
- Molecular Biology 92
Countries citing papers authored by Evan Long
This map shows the geographic impact of Evan Long'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 Evan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Long more than expected).
Fields of papers citing papers by Evan Long
This network shows the impact of papers produced by Evan Long. 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 Evan Long. The network helps show where Evan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Long, 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 | 2019 | 68 | |
| 2 | 1985 | 32 | |
| 3 | 2019 | 28 | |
| 4 | 2016 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2021 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2012 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2026 | 0 |
About Evan Long
Evan Long is a scholar working on Plant Science, Molecular Biology, Sociology and Political Science, Computational Mechanics and Rheumatology, having authored 11 papers that have together received 195 indexed citations. Recurring topics across this work include Cassava research and cyanide (4 papers), Plant Virus Research Studies (2 papers), Research in Cotton Cultivation (2 papers), Genetic and Environmental Crop Studies (2 papers), Chromosomal and Genetic Variations (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Genetic diversity and population structure (1 paper) and Agricultural pest management studies (1 paper). The work is most often cited by research in Horticulture (7 citations), Complementary and Manual Therapy (12 citations), Plant Science (113 citations), Endocrinology (13 citations) and Molecular Biology (92 citations). Evan Long has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Joshua A. Udall, Corrinne E. Grover, Justin L. Conover, Thiruvarangan Ramaraj, Mark A. Arick, Daojun Yuan, Jonathan F. Wendel, Lei Gong, Daniel G. Peterson and R N Germain. Their work appears in journals such as G3 Genes Genomes Genetics, Frontiers in Plant Science, The Journal of Immunology, Pathogens and Global Health and New Phytologist.
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.