John M. Pleasants
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Plant Science top 1%
- Nature and Landscape Conservation top 1%
- Insect Science top 0.5%
- Genetics top 2%
- Co-authors
- Karen S. OberhauserJonathan F. WendelMichael J. ZimmermanRichard L. HellmichGalen P. DivelyHeather R. MattilaDiane E. Stanley-HornM. K. Sears
- Topics
- Plant and animal studies (35 papers)Insect and Pesticide Research (14 papers)Ecology and Vegetation Dynamics Studies (12 papers)
- Cited by
- Ecological ModelingEcology, Evolution, Behavior and SystematicsNature and Landscape Conservation
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
John M. Pleasants
54 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Ecology, Evolution, Behavior and Systematics 2.1k
- Plant Science 1.4k
- Nature and Landscape Conservation 898
- Insect Science 831
- Genetics 723
Countries citing papers authored by John M. Pleasants
This map shows the geographic impact of John M. Pleasants'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 John M. Pleasants with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Pleasants more than expected).
Fields of papers citing papers by John M. Pleasants
This network shows the impact of papers produced by John M. Pleasants. 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 John M. Pleasants. The network helps show where John M. Pleasants may publish in the future.
Co-authorship network of co-authors of John M. Pleasants
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Pleasants. A scholar is included among the top collaborators of John M. Pleasants 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 John M. Pleasants. John M. Pleasants is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 23 | |
| 5 | 37 | |
| 6 | 57 | |
| 7 | 147 | |
| 8 | Milkweed loss in agricultural fields because of herbicide use: effect on the monarch butterfly populationbreakdown → | 332 |
| 9 | 326 | |
| 10 | 171 | |
| 11 | 31 | |
| 12 | Teaching Biology on the Internet. | 3 |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 32 | |
| 17 | 161 | |
| 18 | 40 | |
| 19 | 139 | |
| 20 | 147 |
About John M. Pleasants
John M. Pleasants is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Nature and Landscape Conservation, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Plant and animal studies (35 papers), Insect and Pesticide Research (14 papers) and Ecology and Vegetation Dynamics Studies (12 papers). The work is most often cited by research in Ecological Modeling (469 citations), Ecology, Evolution, Behavior and Systematics (2.1k citations) and Nature and Landscape Conservation (898 citations). John M. Pleasants has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Karen S. Oberhauser, Jonathan F. Wendel, Michael J. Zimmerman, Richard L. Hellmich, Galen P. Dively, Heather R. Mattila, Diane E. Stanley-Horn, M. K. Sears, Stephen J. Chaplin and Orley R. Taylor. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.
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.