Susan E. Shaw
Impact in
- Parasitology top 0.5%
- Vector-borne infectious diseases
- Insect Science top 1%
- Mollusks and Parasites Studies
Papers in
- Parasitology 23
- Vector-borne infectious diseases 19
-
- Viral Infections and Vectors 11
- Co-authors
- Eric R. Morgan (13 shared papers)Michael Day (8 shared papers)Richard J. Birtles (5 shared papers)Gad Baneth (4 shared papers)Edward B. Breitschwerdt (1 shared paper)Martin J. Kenny (6 shared papers)Séverine Tasker (4 shared papers)W.J. Penhale (5 shared papers)
- Journals
- Veterinary Parasitology (5 papers)Veterinary Record (4 papers)Journal of Clinical Microbiology (3 papers)Veterinary Dermatology (3 papers)Veterinary Immunology and Immunopathology (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Susan E. Shaw
63 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Parasitology 1.0k
- Insect Science 713
- Small Animals 398
- Infectious Diseases 822
- Virology 160
Countries citing papers authored by Susan E. Shaw
This map shows the geographic impact of Susan E. Shaw'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 Susan E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan E. Shaw more than expected).
Fields of papers citing papers by Susan E. Shaw
This network shows the impact of papers produced by Susan E. Shaw. 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 Susan E. Shaw. The network helps show where Susan E. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan E. Shaw, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 265 | |
| 2 | 2002 | 157 | |
| 3 | 2009 | 131 | |
| 4 | 2004 | 126 | |
| 5 | 2006 | 115 | |
| 6 | 2006 | 113 | |
| 7 | 2000 | 100 | |
| 8 | 2009 | 91 | |
| 9 | 2000 | 86 | |
| 10 | 2004 | 85 | |
| 11 | 2010 | 82 | |
| 12 | 2010 | 74 | |
| 13 | 2009 | 72 | |
| 14 | 2005 | 72 | |
| 15 | 2010 | 69 | |
| 16 | 2010 | 68 | |
| 17 | 1986 | 67 | |
| 18 | 2007 | 64 | |
| 19 | 2009 | 63 | |
| 20 | 2004 | 61 |
About Susan E. Shaw
Susan E. Shaw is a scholar working on Parasitology, Infectious Diseases, Insect Science, Small Animals and Immunology and Allergy, having authored 64 papers that have together received 2.9k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (19 papers), Viral Infections and Vectors (11 papers), Mollusks and Parasites Studies (9 papers), Vector-Borne Animal Diseases (7 papers), Food Allergy and Anaphylaxis Research (7 papers), Helminth infection and control (6 papers), Parasite Biology and Host Interactions (6 papers) and Allergic Rhinitis and Sensitization (6 papers). The work is most often cited by research in Parasitology (1.0k citations), Insect Science (713 citations), Small Animals (398 citations), Infectious Diseases (822 citations) and Virology (160 citations). Susan E. Shaw has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Eric R. Morgan, Michael Day, Richard J. Birtles, Gad Baneth, Edward B. Breitschwerdt, Martin J. Kenny, Séverine Tasker, W.J. Penhale, Mark Viney and Aiden Foster. Their work appears in journals such as Veterinary Parasitology, Veterinary Record, Journal of Clinical Microbiology, Veterinary Dermatology and Veterinary Immunology and Immunopathology.
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.