Daniel K. Reynolds

10 total papers · 464 total citations
10 papers, 349 citations indexed

About

Daniel K. Reynolds is a scholar working on Pharmacology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Daniel K. Reynolds has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Daniel K. Reynolds's work include Antibiotics Pharmacokinetics and Efficacy (6 papers), Pneumonia and Respiratory Infections (4 papers) and Influenza Virus Research Studies (2 papers). Daniel K. Reynolds is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (6 papers), Pneumonia and Respiratory Infections (4 papers) and Influenza Virus Research Studies (2 papers). Daniel K. Reynolds collaborates with scholars based in United States, United Kingdom and Jordan. Daniel K. Reynolds's co-authors include Scott A. Van Wart, Sujata M. Bhavnani, Paul G. Ambrose, Jeffrey Hammel, Laura Kovanda, David R. Andes, Alan Forrest, Donald N. Buell, Varsha Iyer and Lynn S. Edmunds and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, The Journal of Clinical Pharmacology and Public Health Reports.

In The Last Decade

Daniel K. Reynolds

10 papers receiving 340 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel K. Reynolds 198 160 139 58 37 10 349
C Restieri 143 0.7× 188 1.2× 108 0.8× 15 0.3× 41 1.1× 11 402
Ira Leviton 171 0.9× 130 0.8× 40 0.3× 33 0.6× 53 1.4× 12 332
John F. Reinhardt 267 1.3× 193 1.2× 101 0.7× 27 0.5× 17 0.5× 15 390
V. T. Andriole 130 0.7× 108 0.7× 111 0.8× 63 1.1× 17 0.5× 8 337
S. Ken Tanaka 90 0.5× 117 0.7× 47 0.3× 100 1.7× 98 2.6× 11 359
R Northland 192 1.0× 174 1.1× 48 0.3× 38 0.7× 23 0.6× 10 295
Guido Hinterberger 241 1.2× 101 0.6× 31 0.2× 25 0.4× 35 0.9× 11 373
Mary L. Townsend 192 1.0× 158 1.0× 72 0.5× 19 0.3× 32 0.9× 30 378
Raja Shekar 78 0.4× 97 0.6× 76 0.5× 72 1.2× 13 0.4× 14 307
T M Aulicino 83 0.4× 159 1.0× 77 0.6× 43 0.7× 11 0.3× 12 387

Countries citing papers authored by Daniel K. Reynolds

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Reynolds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel K. Reynolds

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Reynolds. A scholar is included among the top collaborators of Daniel K. Reynolds based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel K. Reynolds. Daniel K. Reynolds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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