Holly Gaff

87 papers receiving 2.6k citations

Peers

Holly Gaff
Comparison fields: 5 of 134
  • Modeling and Simulation 710
  • Parasitology 966
  • Infectious Diseases 1.2k
  • Endocrinology 324
  • Public Health, Environmental and Occupational Health 1.2k
Replace Luis Fernando Chaves with:
Luis Fernando Chaves United States
Parviez R. Hosseini United States
Douglas M. Watts United States
Guiyun Yan United States
J. D. Charlwood United Kingdom
Tim E. Carpenter United States
Menno J. Bouma United Kingdom
Robert J. Novak United States
Maciej F. Boni United Kingdom
Noboru Minakawa Japan
Holly Gaff relative to Luis Fernando Chaves United States Luis Fernando Chaves's profile →
Citations per field
00.5×3.4×
Luis Fernando Chaves · 1×
Citations per year

Countries citing papers authored by Holly Gaff

Since Specialization
Citations

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

Fields of papers citing papers by Holly Gaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Holly Gaff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Holly Gaff Line = papers co-authored together Holly Gaff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011318
2 2015225
3 2010210
4 2009193
5 2010106
6 2012101
7 201375
8
An Epidemiological Model of Rift Valley Fever
200762
9 200660
10 201560
11 201157
12 200055
13 201452
14 201747
15 201147
16 201735
17 201935
18 202134
19 201734
20 201134

About Holly Gaff

Holly Gaff is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (58 papers), Viral Infections and Vectors (48 papers), Vector-Borne Animal Diseases (19 papers), Insect and Pesticide Research (18 papers), Mosquito-borne diseases and control (14 papers), COVID-19 epidemiological studies (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and Insect symbiosis and bacterial influences (6 papers). The work is most often cited by research in Modeling and Simulation (710 citations), Parasitology (966 citations), Infectious Diseases (1.2k citations), Endocrinology (324 citations) and Public Health, Environmental and Occupational Health (1.2k citations). Holly Gaff has collaborated with scholars based in United States, South Africa and Ghana. Frequent co-authors include Elsa Schaefer, Robyn M. Nadolny, Chelsea L. Wright, Wayne L. Hynes, Suzanne Lenhart, Daniel E. Sonenshine, David Hartley, David L. Smith, Jin Wang and J. Glenn Morris. Their work appears in journals such as Ticks and Tick-borne Diseases, Journal of Medical Entomology, Vector-Borne and Zoonotic Diseases, Mathematical Biosciences & Engineering and Bulletin of Mathematical Biology.

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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