Jennifer R. Head
- Infectious Diseases top 10%
- Epidemiology
- Modeling and Simulation top 5%
- Public Health, Environmental and Occupational Health
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Justin V. RemaisElizabeth J. CarltonCarlos GouldJohn W. TaylorPhilip A. CollenderAlexandra K. HeaneyQu ChengKristin L. Andrejko
- Topics
- Fungal Infections and Studies (13 papers)Plant Pathogens and Resistance (6 papers)Antifungal resistance and susceptibility (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jennifer R. Head
37 papers receiving 519 citations
Peers
Comparison fields: 5 of 113
- Infectious Diseases 181
- Epidemiology 148
- Modeling and Simulation 78
- Public Health, Environmental and Occupational Health 78
- Health, Toxicology and Mutagenesis 68
Countries citing papers authored by Jennifer R. Head
This map shows the geographic impact of Jennifer R. Head'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 Jennifer R. Head with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer R. Head more than expected).
Fields of papers citing papers by Jennifer R. Head
This network shows the impact of papers produced by Jennifer R. Head. 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 Jennifer R. Head. The network helps show where Jennifer R. Head may publish in the future.
Co-authorship network of co-authors of Jennifer R. Head
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer R. Head. A scholar is included among the top collaborators of Jennifer R. Head 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 Jennifer R. Head. Jennifer R. Head is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | 26 | |
| 19 | 26 | |
| 20 | 17 |
About Jennifer R. Head
Jennifer R. Head is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 41 papers that have together received 533 indexed citations. Recurring topics across this work include Fungal Infections and Studies (13 papers), Plant Pathogens and Resistance (6 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Infectious Diseases (181 citations) and Virology (42 citations). Jennifer R. Head has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Justin V. Remais, Elizabeth J. Carlton, Carlos Gould, John W. Taylor, Philip A. Collender, Alexandra K. Heaney, Qu Cheng, Kristin L. Andrejko, Jon Zelner and Nicholas K. Skaff. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.