Deborah Cromer

10.2k citations
70 papers · 4.0k indexed · 2 hit papers · h-index 25

Deborah Cromer

70 papers receiving 4.0k citations

Hit Papers

Correlates of Protection, Thresholds of Protection, ...72202120262022202450010001.5k2.0k

Peers

Deborah Cromer
Comparison fields: 5 of 112
  • Infectious Diseases 2.9k
  • Modeling and Simulation 451
  • Virology 338
  • Health 538
  • Animal Science and Zoology 353
Replace David S. Khoury with:
David S. Khoury Australia
Jennifer A. Juno Australia
Jennifer M. Dan United States
Stephen A. Rawlings United States
Vivek Naranbhai United States
Ramesh Jadi United States
Alba Grifoni United States
Corine H. GeurtsvanKessel Netherlands
Chee Wah Tan Singapore
Scott E. Hensley United States
Deborah Cromer relative to David S. Khoury Australia David S. Khoury's profile →
Citations per field
00.5×2.9×
David S. Khoury · 1×
Citations per year

Countries citing papers authored by Deborah Cromer

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Cromer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20249
4 20242
5 20231
6 202310
7 202326
8 20236
9 202213
10 202282
11 202223
12
Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infectionbreakdown →
20212105
13 202081
14 201918
15 201890
16 201512
17 201516
18 201367
19 201012
20 201042

About Deborah Cromer

Deborah Cromer is a scholar working on Virology, Infectious Diseases, Modeling and Simulation, Immunology and Public Health, Environmental and Occupational Health, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (23 papers), SARS-CoV-2 and COVID-19 Research (19 papers), Malaria Research and Control (18 papers), COVID-19 Clinical Research Studies (16 papers), Mosquito-borne diseases and control (14 papers), HIV/AIDS Research and Interventions (10 papers), HIV/AIDS drug development and treatment (9 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Modeling and Simulation (451 citations), Virology (338 citations), Health (538 citations) and Animal Science and Zoology (353 citations). Deborah Cromer has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Miles P. Davenport, David S. Khoury, Stephen J. Kent, Arnold Reynaldi, Adam K. Wheatley, Jennifer A. Juno, Timothy E. Schlub, Kanta Subbarao, James A. Triccas and Mark Jit. Their work appears in journals such as Journal of Virology, Nature reviews. Immunology, Nature Communications, Vaccine and Proceedings of the Royal Society B Biological Sciences.

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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