Daniel B. Chastain

1.9k citations
109 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Daniel B. Chastain

97 papers receiving 1.1k citations

Peers

Daniel B. Chastain
Comparison fields: 5 of 123
  • Applied Microbiology and Biotechnology 68
  • Virology 132
  • Infectious Diseases 474
  • Epidemiology 493
  • Clinical Biochemistry 73
Replace Éric Cua with:
Éric Cua France
James Riddell United States
Jaime G. Deville United States
Priscilla Rupali India
Sheldon Campbell United States
Kazufumi Hiramatsu Japan
Mona Holberg‐Petersen Norway
Minh Ly Nguyen United States
Virginia L. Kan United States
Mao‐Wang Ho Taiwan
Daniel B. Chastain relative to Éric Cua France Éric Cua's profile →
Citations per field
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Éric Cua · 1×
Citations per year

Countries citing papers authored by Daniel B. Chastain

Since Specialization
Citations

This map shows the geographic impact of Daniel B. Chastain'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. Chastain 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. Chastain more than expected).

Fields of papers citing papers by Daniel B. Chastain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 20233
6 202320
7 20239
8 20233
9 202211
10 20228
11 202216
12 202223
13 20222
14 20218
15 202111
16 20215
17 20200
18 20204
19 20208
20 20190

About Daniel B. Chastain

Daniel B. Chastain is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Clinical Biochemistry, Virology and Epidemiology, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal Infections and Studies (23 papers), Antifungal resistance and susceptibility (22 papers), Pneumocystis jirovecii pneumonia detection and treatment (14 papers), Bacterial Identification and Susceptibility Testing (13 papers), HIV/AIDS drug development and treatment (11 papers), HIV/AIDS Research and Interventions (10 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (68 citations), Virology (132 citations), Infectious Diseases (474 citations), Epidemiology (493 citations) and Clinical Biochemistry (73 citations). Daniel B. Chastain has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include Andrés F. Henao‐Martínez, Carlos Franco‐Paredes, Kayla R. Stover, Sharmon P. Osae, Henry N. Young, Amal Gharamti, Anthony B. Davis, Yeimer Ortiz-Martínez, Daniel M. Riche and Alfonso J. Rodríguez‐Morales. Their work appears in journals such as Open Forum Infectious Diseases, Therapeutic Advances in Infectious Disease, Annals of Pharmacotherapy, JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY and Clinical Infectious Diseases.

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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