Maya Holding
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Viral Infections and Vectors 11
- Viral Infections and Outbreaks Research 2
- Parasitology 10
- Vector-borne infectious diseases 10
- Co-authors
- Roger Hewson (5 shared papers)Stuart Dowall (4 shared papers)Jolyon M. Medlock (4 shared papers)Richard Vipond (3 shared papers)Matthew Baylis (2 shared papers)Steven T. Pullan (2 shared papers)Daniel Carter (2 shared papers)Mara Rocchi (1 shared paper)
- Journals
- Eurosurveillance (4 papers)BMJ Global Health (1 paper)Animals (1 paper)Transboundary and Emerging Diseases (1 paper)Trends in Parasitology (1 paper)
- Partner nations
- United KingdomNetherlandsBelgium
In The Last Decade
Maya Holding
12 papers receiving 204 citations
Peers
Comparison fields: 5 of 37
- Parasitology 166
- Infectious Diseases 181
- Public Health, Environmental and Occupational Health 140
- Ecology, Evolution, Behavior and Systematics 33
- Insect Science 17
Countries citing papers authored by Maya Holding
This map shows the geographic impact of Maya Holding'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 Maya Holding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Holding more than expected).
Fields of papers citing papers by Maya Holding
This network shows the impact of papers produced by Maya Holding. 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 Maya Holding. The network helps show where Maya Holding may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Holding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2019 | 47 | |
| 3 | 2019 | 29 | |
| 4 | 2021 | 16 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Maya Holding
Maya Holding is a scholar working on Infectious Diseases, Parasitology, Public Health, Environmental and Occupational Health, Emergency Medical Services and Sociology and Political Science, having authored 14 papers that have together received 222 indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), Vector-borne infectious diseases (10 papers), Mosquito-borne diseases and control (8 papers), Disaster Response and Management (2 papers), Viral Infections and Outbreaks Research (2 papers), Insect and Pesticide Research (1 paper), COVID-19 epidemiological studies (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Parasitology (166 citations), Infectious Diseases (181 citations), Public Health, Environmental and Occupational Health (140 citations), Ecology, Evolution, Behavior and Systematics (33 citations) and Insect Science (17 citations). Maya Holding has collaborated with scholars based in United Kingdom, Netherlands and Belgium. Frequent co-authors include Roger Hewson, Stuart Dowall, Jolyon M. Medlock, Richard Vipond, Matthew Baylis, Steven T. Pullan, Daniel Carter, Mara Rocchi, James Lewis and Kayleigh M. Hansford. Their work appears in journals such as Eurosurveillance, BMJ Global Health, Animals, Transboundary and Emerging Diseases and Trends in Parasitology.
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.