Patricia Preston‐Ferrer
- Parasitology top 0.2%
- Infectious Diseases top 1%
- Ecology, Evolution, Behavior and Systematics top 1%
- Public Health, Environmental and Occupational Health top 5%
- Insect Science top 1%
- Co-authors
- A.R. WalkerAli BouattourAbdalla A. LatifJ.-L. CamicasIvan G. HorakAgustín Estrada‐PeñaR. G. PegramC.G.D. Brown
- Topics
- Vector-borne infectious diseases (30 papers)Vector-Borne Animal Diseases (19 papers)Memory and Neural Mechanisms (16 papers)
- Partner nations
- United KingdomGermanyChina
In The Last Decade
Patricia Preston‐Ferrer
64 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Parasitology 1.7k
- Infectious Diseases 1.1k
- Ecology, Evolution, Behavior and Systematics 1.0k
- Public Health, Environmental and Occupational Health 541
- Insect Science 488
Countries citing papers authored by Patricia Preston‐Ferrer
This map shows the geographic impact of Patricia Preston‐Ferrer'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 Patricia Preston‐Ferrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Preston‐Ferrer more than expected).
Fields of papers citing papers by Patricia Preston‐Ferrer
This network shows the impact of papers produced by Patricia Preston‐Ferrer. 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 Patricia Preston‐Ferrer. The network helps show where Patricia Preston‐Ferrer may publish in the future.
Co-authorship network of co-authors of Patricia Preston‐Ferrer
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Preston‐Ferrer. A scholar is included among the top collaborators of Patricia Preston‐Ferrer 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 Patricia Preston‐Ferrer. Patricia Preston‐Ferrer 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 | 1 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 61 | |
| 7 | 6 | |
| 8 | 41 | |
| 9 | 24 | |
| 10 | 36 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 50 | |
| 14 | 38 | |
| 15 | 26 | |
| 16 | 10 | |
| 17 | 12 | |
| 18 | 36 | |
| 19 | 60 | |
| 20 | 1 |
About Patricia Preston‐Ferrer
Patricia Preston‐Ferrer is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (30 papers), Vector-Borne Animal Diseases (19 papers) and Memory and Neural Mechanisms (16 papers). The work is most often cited by research in Parasitology (1.7k citations), Infectious Diseases (1.1k citations) and Ecology, Evolution, Behavior and Systematics (1.0k citations). Patricia Preston‐Ferrer has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include A.R. Walker, Ali Bouattour, Abdalla A. Latif, J.-L. Camicas, Ivan G. Horak, Agustín Estrada‐Peña, R. G. Pegram, C.G.D. Brown, D. C. Dumonde and Andrea Burgalossi. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.
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.