Daniel B. Reeves

2.7k citations
56 papers · 1.4k · h-index 21

Impact in

Papers in

    • HIV/AIDS Research and Interventions 12
    • HIV/AIDS drug development and treatment 10
    • SARS-CoV-2 and COVID-19 Research 7
    • Characterization and Applications of Magnetic Nanoparticles 17
    • Microfluidic and Bio-sensing Technologies 13

Daniel B. Reeves

53 papers receiving 1.4k citations

Peers

Daniel B. Reeves
Comparison fields: 5 of 124
  • Virology 340
  • Modeling and Simulation 169
  • Infectious Diseases 487
  • Biomedical Engineering 440
  • Health 43
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Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Reeves. 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 Daniel B. Reeves. The network helps show where Daniel B. Reeves may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 2021125
3 2015120
4 2018100
5 201373
6 202171
7 202055
8 201453
9 201244
10 201542
11 201437
12 202036
13 201732
14 201827
15 202127
16 201323
17 202322
18 202121
19 201721
20 201520

About Daniel B. Reeves

Daniel B. Reeves is a scholar working on Infectious Diseases, Biomedical Engineering, Virology, Molecular Biology and Modeling and Simulation, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (17 papers), HIV Research and Treatment (17 papers), Microfluidic and Bio-sensing Technologies (13 papers), HIV/AIDS Research and Interventions (12 papers), HIV/AIDS drug development and treatment (10 papers), COVID-19 epidemiological studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Virology (340 citations), Modeling and Simulation (169 citations), Infectious Diseases (487 citations), Biomedical Engineering (440 citations) and Health (43 citations). Daniel B. Reeves has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include John B. Weaver, Joshua T. Schiffer, Bryan T. Mayer, Ashish Goyal, E. Fabián Cardozo-Ojeda, Elizabeth R. Duke, Irina M. Perreard, R. Matthew Ferguson, Saqlain A. Shah and Kannan M. Krishnan. Their work appears in journals such as Journal of The Royal Society Interface, Nature Communications, Scientific Reports, Applied Physics Letters and Proceedings of the National Academy of 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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