Jonathan Rosenthal

20 papers receiving 766 citations

Jonathan Rosenthal's Hit Papers

Nonnative forest insects and pathogens in the United States: Impacts and policy options 2016 · 302 citations
3020+3+6Years since publication100200300

Peers

Jonathan Rosenthal
Comparison fields: 5 of 112
  • Insect Science 146
  • Nature and Landscape Conservation 114
  • Ecological Modeling 38
  • Ecology 221
  • Endocrinology 39
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Countries citing papers authored by Jonathan Rosenthal

Since Specialization
Citations

This map shows the geographic impact of Jonathan Rosenthal'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 Jonathan Rosenthal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Rosenthal more than expected).

Fields of papers citing papers by Jonathan Rosenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Rosenthal. 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 Jonathan Rosenthal. The network helps show where Jonathan Rosenthal may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Rosenthal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Rosenthal Line = papers co-authored together Jonathan Rosenthal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonnative forest insects and pathogens in the United States: Impacts and policy options
Hit paper breakdown →
2016302
2 200486
3 201684
4 202073
5 201656
6 201836
7 200130
8 200225
9 199119
10 201418
11 197515
12 201113
13 20239
14 20159
15 19918
16 20186
17 20185
18 20153
19 20101
20 20221

About Jonathan Rosenthal

Jonathan Rosenthal is a scholar working on Ecology, Evolution, Behavior and Systematics, Artificial Intelligence, Plant Science, Infectious Diseases and Surgery, having authored 21 papers that have together received 799 indexed citations. Recurring topics across this work include Plant and animal studies (3 papers), Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Electrolyte and hormonal disorders (2 papers), Muscle and Compartmental Disorders (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Epilepsy research and treatment (2 papers) and Plant Parasitism and Resistance (2 papers). The work is most often cited by research in Insect Science (146 citations), Nature and Landscape Conservation (114 citations), Ecological Modeling (38 citations), Ecology (221 citations) and Endocrinology (39 citations). Jonathan Rosenthal has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Vít Latzel, Brian Leung, Marissa S. Weiss, David R. Foster, Faith T. Campbell, Charles D. Canham, David A. Orwig, Kathy Fallon Lambert, Matthew P. Ayres and Gary M. Lovett. Their work appears in journals such as Neurology, The American Journal of Medicine, Journal of Stroke and Cerebrovascular Diseases, Perspectives in Plant Ecology Evolution and Systematics and Frontiers in Plant Science.

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.

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