Edith Paxton
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
- Parasitology 18
- Vector-borne infectious diseases 17
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- Vector-Borne Animal Diseases 15
- Co-authors
- Keith Sumption (8 shared papers)Lesley Bell‐Sakyi (7 shared papers)Kirsty Jensen (4 shared papers)Elizabeth Glass (4 shared papers)G. R. Scott (1 shared paper)David Waddington (2 shared papers)Richard Talbot (2 shared papers)Liam J. Morrison (14 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)International Journal for Parasitology (4 papers)Microbiology (2 papers)Genome biology (2 papers)Veterinary Microbiology (2 papers)
- Partner nations
- United KingdomKenyaSouth Africa
In The Last Decade
Edith Paxton
36 papers receiving 795 citations
Peers
Comparison fields: 5 of 75
- Parasitology 303
- Endocrinology 61
- Infectious Diseases 206
- Insect Science 129
- Ecology, Evolution, Behavior and Systematics 187
Countries citing papers authored by Edith Paxton
This map shows the geographic impact of Edith Paxton'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 Edith Paxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edith Paxton more than expected).
Fields of papers citing papers by Edith Paxton
This network shows the impact of papers produced by Edith Paxton. 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 Edith Paxton. The network helps show where Edith Paxton may publish in the future.
Co-authors
The 25 scholars most cited alongside Edith Paxton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 140 | |
| 2 | 2018 | 67 | |
| 3 | 2007 | 57 | |
| 4 | 2020 | 47 | |
| 5 | 2006 | 41 | |
| 6 | 2000 | 40 | |
| 7 | 1989 | 38 | |
| 8 | 1998 | 34 | |
| 9 | 2002 | 31 | |
| 10 | 2016 | 30 | |
| 11 | 1995 | 25 | |
| 12 | 2011 | 24 | |
| 13 | 2023 | 22 | |
| 14 | 2009 | 20 | |
| 15 | 2009 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2019 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 14 | |
| 20 | 2020 | 13 |
About Edith Paxton
Edith Paxton is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Epidemiology, Insect Science and Infectious Diseases, having authored 37 papers that have together received 811 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (17 papers), Vector-Borne Animal Diseases (15 papers), Trypanosoma species research and implications (9 papers), Insect symbiosis and bacterial influences (6 papers), Viral Infections and Vectors (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Research on Leishmaniasis Studies (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Parasitology (303 citations), Endocrinology (61 citations), Infectious Diseases (206 citations), Insect Science (129 citations) and Ecology, Evolution, Behavior and Systematics (187 citations). Edith Paxton has collaborated with scholars based in United Kingdom, Kenya and South Africa. Frequent co-authors include Keith Sumption, Lesley Bell‐Sakyi, Kirsty Jensen, Elizabeth Glass, G. R. Scott, David Waddington, Richard Talbot, Liam J. Morrison, Neil A. Mabbott and Arvind Mahajan. Their work appears in journals such as PLoS neglected tropical diseases, International Journal for Parasitology, Microbiology, Genome biology and Veterinary Microbiology.
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.