Heidi E. Brown

93 papers receiving 2.2k citations

Peers

Heidi E. Brown
Comparison fields: 5 of 149
  • Infectious Diseases 821
  • Modeling and Simulation 171
  • Public Health, Environmental and Occupational Health 768
  • Parasitology 161
  • Agronomy and Crop Science 229
Replace Kristian G. Andersen with:
Kristian G. Andersen United States
Sarah E. Perkins United Kingdom
Angus Cameron United Kingdom
R. Mitchell Bush United States
Richard Paúl France
Joel Henrique Ellwanger Brazil
Jonas Klingström Sweden
Xin Yue China
Steven G. Widen United States
Christian Devaux France
Heidi E. Brown relative to Kristian G. Andersen United States Kristian G. Andersen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heidi E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Heidi E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi E. Brown. 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 Heidi E. Brown. The network helps show where Heidi E. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Heidi E. Brown, 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 Heidi E. Brown Line = papers co-authored together Heidi E. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011259
2 2006146
3 1999128
4 2008111
5 2009108
6 2008102
7 199691
8 199976
9 200875
10 201273
11 201256
12 201551
13 201448
14 200847
15 201745
16 201738
17 202235
18 201733
19 201933
20 201132

About Heidi E. Brown

Heidi E. Brown is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Surgery, Health, Toxicology and Mutagenesis and Epidemiology, having authored 105 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (29 papers), Viral Infections and Vectors (21 papers), Malaria Research and Control (12 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Zoonotic diseases and public health (10 papers), Climate Change and Health Impacts (8 papers), COVID-19 epidemiological studies (7 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). The work is most often cited by research in Infectious Diseases (821 citations), Modeling and Simulation (171 citations), Public Health, Environmental and Occupational Health (768 citations), Parasitology (161 citations) and Agronomy and Crop Science (229 citations). Heidi E. Brown has collaborated with scholars based in United States, United Kingdom and Peru. Frequent co-authors include Durland Fish, Maria A. Diuk‐Wasser, Theodore G. Andreadis, David J. Rogers, Bethan V. Purse, J. Lega, Robin B. Harris, Eyal Oren, Thomas A. Zeffiro and Guinevere F. Eden. Their work appears in journals such as Journal of Medical Entomology, Vector-Borne and Zoonotic Diseases, International Journal of Environmental Research and Public Health, American Journal of Tropical Medicine and Hygiene and Bioorganic & Medicinal Chemistry Letters.

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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