Hannah E. Reses

25 papers receiving 504 citations

Peers

Hannah E. Reses
Comparison fields: 5 of 92
  • Endocrinology 106
  • Virology 66
  • Infectious Diseases 221
  • Modeling and Simulation 41
  • Health 73
Replace Hilary E. Tillett with:
Hilary E. Tillett United Kingdom
Colin N. Ramsay United Kingdom
Albert M. Vollaard Netherlands
Danae Bixler United States
Rachel B. Eidex United States
Deborah A. Levy United States
Andrew F. Brouwer United States
Amanda K. Debes United States
Fred Wurapa Ghana
Sébastien Kenmoe Cameroon
Hannah E. Reses relative to Hilary E. Tillett United Kingdom Hilary E. Tillett's profile →
Citations per field
00.5×10×13.5×
Hilary E. Tillett · 1×
Citations per year

Countries citing papers authored by Hannah E. Reses

Since Specialization
Citations

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

Fields of papers citing papers by Hannah E. Reses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017234
2 201564
3 202058
4 202230
5 201529
6 202126
7 201824
8 202310
9 202310
10 202310
11 20238
12 20236
13 20235
14 20205
15 20244
16 20234
17 20243
18 20242
19 20242
20 20232

About Hannah E. Reses

Hannah E. Reses is a scholar working on Infectious Diseases, Epidemiology, Health, Modeling and Simulation and Molecular Medicine, having authored 26 papers that have together received 541 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (7 papers), Influenza Virus Research Studies (6 papers), Antibiotic Resistance in Bacteria (5 papers), Respiratory viral infections research (5 papers), Antibiotic Use and Resistance (4 papers) and Fecal contamination and water quality (3 papers). The work is most often cited by research in Endocrinology (106 citations), Virology (66 citations), Infectious Diseases (221 citations), Modeling and Simulation (41 citations) and Health (73 citations). Hannah E. Reses has collaborated with scholars based in United States, Australia and Uganda. Frequent co-authors include Kathleen E. Fullerton, Jonathan S. Yoder, Timothy J. Wade, Elizabeth D. Hilborn, Virginia A. Roberts, Vincent R. Hill, Katharine M. Benedict, David Roth, Laura A. Cooley and Marissa Vigar. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Infection Control and Hospital Epidemiology, Epidemiology and Infection, Clinical Infectious Diseases and Vaccine.

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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