Jason D. Weckstein
- Parasitology top 0.5%
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Genetics top 5%
- Nature and Landscape Conservation top 10%
- Co-authors
- Kevin P. JohnsonJohn M. BatesVasyl V. TkachJeffrey A. BellAlexandre Luis Padovan AleixoRobert M. ZinkAlan FecchioMichel P. Valim
- Topics
- Bird parasitology and diseases (49 papers)Vector-borne infectious diseases (37 papers)Genetic diversity and population structure (30 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Jason D. Weckstein
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 57
- Parasitology 799
- Ecology 600
- Ecology, Evolution, Behavior and Systematics 495
- Genetics 422
- Nature and Landscape Conservation 175
Countries citing papers authored by Jason D. Weckstein
This map shows the geographic impact of Jason D. Weckstein'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 Jason D. Weckstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason D. Weckstein more than expected).
Fields of papers citing papers by Jason D. Weckstein
This network shows the impact of papers produced by Jason D. Weckstein. 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 Jason D. Weckstein. The network helps show where Jason D. Weckstein may publish in the future.
Co-authorship network of co-authors of Jason D. Weckstein
This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Weckstein. A scholar is included among the top collaborators of Jason D. Weckstein 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 Jason D. Weckstein. Jason D. Weckstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 25 | |
| 9 | 9 | |
| 10 | 32 | |
| 11 | 105 | |
| 12 | 28 | |
| 13 | 56 | |
| 14 | 6 | |
| 15 | 25 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | 39 | |
| 19 | 39 | |
| 20 | 14 |
About Jason D. Weckstein
Jason D. Weckstein is a scholar working on Parasitology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bird parasitology and diseases (49 papers), Vector-borne infectious diseases (37 papers) and Genetic diversity and population structure (30 papers). The work is most often cited by research in Parasitology (799 citations), Ecological Modeling (137 citations) and Ecology, Evolution, Behavior and Systematics (495 citations). Jason D. Weckstein has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Kevin P. Johnson, John M. Bates, Vasyl V. Tkach, Jeffrey A. Bell, Alexandre Luis Padovan Aleixo, Robert M. Zink, Alan Fecchio, Michel P. Valim, Holly L. Lutz and José Salvatore Leister Patané. Their work appears in journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Oikos.
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.