Maya Williams

3.3k total citations
106 papers, 2.2k citations indexed

About

Maya Williams is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Maya Williams has authored 106 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Infectious Diseases, 59 papers in Public Health, Environmental and Occupational Health and 21 papers in Epidemiology. Recurrent topics in Maya Williams's work include Mosquito-borne diseases and control (58 papers), Viral Infections and Vectors (56 papers) and Viral Infections and Outbreaks Research (19 papers). Maya Williams is often cited by papers focused on Mosquito-borne diseases and control (58 papers), Viral Infections and Vectors (56 papers) and Viral Infections and Outbreaks Research (19 papers). Maya Williams collaborates with scholars based in United States, Uganda and Peru. Maya Williams's co-authors include John P. Woodall, David Simpson, A. J. Haddow, M. P. Weinbren, J. D. Gillett, L. K. H. Goma, Philip S. Corbet, Patrick J. Blair, Bachti Alisjahbana and Herman Kosasih and has published in prestigious journals such as Nature, The Journal of Immunology and PLoS ONE.

In The Last Decade

Maya Williams

99 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maya Williams United States 26 1.5k 1.5k 370 221 199 106 2.2k
Hermann G. Schatzmayr Brazil 32 1.7k 1.1× 2.3k 1.6× 383 1.0× 93 0.4× 208 1.0× 125 3.0k
John P. Woodall Uganda 21 848 0.6× 909 0.6× 291 0.8× 127 0.6× 87 0.4× 67 1.4k
Bruce C. Cropp United States 20 1.7k 1.1× 1.8k 1.2× 222 0.6× 107 0.5× 137 0.7× 21 2.1k
Goro Kuno United States 21 1.8k 1.2× 2.3k 1.5× 187 0.5× 109 0.5× 438 2.2× 40 2.5k
Loredana Nicoletti Italy 32 2.5k 1.6× 2.3k 1.5× 475 1.3× 393 1.8× 232 1.2× 118 4.6k
Marc Grandadam France 30 2.5k 1.6× 2.5k 1.7× 524 1.4× 151 0.7× 259 1.3× 92 3.5k
Amélia Travassos da Rosa United States 24 2.2k 1.4× 2.3k 1.5× 335 0.9× 464 2.1× 216 1.1× 41 2.7k
John Aaskov Australia 33 2.3k 1.5× 2.8k 1.9× 269 0.7× 116 0.5× 393 2.0× 120 3.5k
Amy J. Schuh United States 19 1.8k 1.2× 1.3k 0.9× 373 1.0× 192 0.9× 184 0.9× 45 2.1k
Robert McN. Scott United States 21 1.5k 1.0× 1.5k 1.0× 383 1.0× 68 0.3× 79 0.4× 51 2.2k

Countries citing papers authored by Maya Williams

Since Specialization
Citations

This map shows the geographic impact of Maya Williams'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 Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Williams more than expected).

Fields of papers citing papers by Maya Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Williams. 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 Williams. The network helps show where Maya Williams may publish in the future.

Co-authorship network of co-authors of Maya Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Williams. A scholar is included among the top collaborators of Maya Williams 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 Maya Williams. Maya Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sanders, John W., Daniel Ewing, David A. Ornelles, et al.. (2024). Immunogenicity and Protective Efficacy of Psoralen-Inactivated SARS-CoV-2 Vaccine in Nonhuman Primates. Vaccines. 12(5). 451–451. 1 indexed citations
3.
Ewing, Daniel, Ying Cheng, Peifang Sun, et al.. (2021). Immunogenicity of Adjuvanted Psoralen-Inactivated SARS-CoV-2 Vaccines and SARS-CoV-2 Spike Protein DNA Vaccines in BALB/c Mice. Pathogens. 10(5). 626–626. 8 indexed citations
4.
Johnson, Odis, et al.. (2019). Disparate Impacts: Balancing the Need for Safe Schools With Racial Equity in Discipline. Policy Insights from the Behavioral and Brain Sciences. 6(2). 162–169. 22 indexed citations
5.
Williams, Maya, et al.. (2018). Molecular and antigenic characterization of group C orthobunyaviruses isolated in Peru. PLoS ONE. 13(7). e0200576–e0200576. 6 indexed citations
6.
Widjaja, Susana, et al.. (2016). Geographical Assessment of Rickettsioses in Indonesia. Vector-Borne and Zoonotic Diseases. 16(1). 20–25. 10 indexed citations
7.
Williams, Maya, Sandra V. Mayer, William L. Johnson, et al.. (2014). Lineage II of Southeast Asian/American DENV-2 is Associated with a Severe Dengue Outbreak in the Peruvian Amazon. American Journal of Tropical Medicine and Hygiene. 91(3). 611–620. 49 indexed citations
8.
Rázuri, Hugo, Candice Romero, Yeny Tinoco, et al.. (2012). Population-based active surveillance cohort studies for influenza: lessons from Peru. Bulletin of the World Health Organization. 90(4). 318–320. 16 indexed citations
9.
Houng, Huo‐Shu H., Yanfei Zhou, Arthur Lyons, et al.. (2011). Emergent 2009 influenza A(H1N1) viruses containing HA D222N mutation associated with severe clinical outcomes in the Americas. Journal of Clinical Virology. 53(1). 12–15. 25 indexed citations
10.
Antonjaya, Ungke, et al.. (2010). Rickettsial Infections of Fleas Collected From Small Mammals on Four Islands in Indonesia. Journal of Medical Entomology. 47(6). 1173–1178. 13 indexed citations
11.
Kosasih, Herman, Bachti Alisjahbana, Ungke Antonjaya, et al.. (2010). Evidence of Human Hantavirus Infection and Zoonotic Investigation of Hantavirus Prevalence in Rodents in Western Java, Indonesia. Vector-Borne and Zoonotic Diseases. 11(6). 709–713. 13 indexed citations
12.
Indrawan, Mochamad, Ungke Antonjaya, Timothy H. Burgess, et al.. (2009). H5N1 Surveillance in Migratory Birds in Java, Indonesia. Vector-Borne and Zoonotic Diseases. 9(6). 695–702. 11 indexed citations
13.
Williams, Maya, et al.. (1980). Occurrence of trichomycete fungi in mosquito larvae near Kearney, Nebraska.. Mosquito news. 40(3). 445–447. 4 indexed citations
14.
Williams, Maya, et al.. (1969). Timber milkvetch poisoning in chickens, rabbits, and cattle.. PubMed. 30(12). 2185–90. 27 indexed citations
15.
Woodall, John P. & Maya Williams. (1967). Tanga virus: a hitherto undescribed virus from Anopheles mosquitoes from Tanzania.. East African Medical Journal. 44(2). 2 indexed citations
16.
Wright, D. H., Thomas Bell, & Maya Williams. (1967). Burkitt's tumour: a review of clinical features, treatment, pathology, epidemiology, entomology and virology.. East African Medical Journal. 44(2). 5 indexed citations
17.
Haddow, A. J., Maya Williams, John P. Woodall, David Simpson, & L. K. H. Goma. (1964). TWELVE ISOLATIONS OF ZIKA VIRUS FROM AEDES (STEGOMYIA) AFRICANUS (THEOBALD) TAKEN IN AND ABOVE A UGANDA FOREST.. PubMed. 31. 57–69. 234 indexed citations
18.
Williams, Maya & John P. Woodall. (1964). An Epidemic of an Illness resembling Dengue in the Morogoro District of Tanganyika. Part II. Virological Findings.. East African Medical Journal. 41(6).
19.
Weinbren, M. P., A. J. Haddow, & Maya Williams. (1958). The occurrence of Chikungunya virus in Uganda.. Transactions of the Royal Society of Tropical Medicine and Hygiene. 52(3). 21 indexed citations
20.
Williams, C. B., et al.. (1956). OBSERVATIONS ON THE MIGRATION OF INSECTS IN THE PYRENEES IN THE AUTUMN OF 1953. Transactions of the Royal Entomological Society of London. 108(9). 385–407. 16 indexed citations

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.

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