Dan Agranoff

1.2k citations
14 papers · 674 · h-index 10

Impact in

    • Tuberculosis Research and Epidemiology
    • Antifungal resistance and susceptibility
  • Virology top 10%
    • Rabies epidemiology and control

Papers in

    • Trypanosoma species research and implications 3
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Amoebic Infections and Treatments 1
    • Tuberculosis Research and Epidemiology 1
    • Antifungal resistance and susceptibility 1

Dan Agranoff

14 papers receiving 653 citations

Peers

Dan Agranoff
Comparison fields: 5 of 82
  • Infectious Diseases 225
  • Virology 56
  • Epidemiology 203
  • Parasitology 42
  • Microbiology 38
Replace K Shimada with:
K Shimada Japan
E B Fraser-Smith Poland
B. R. Andersen United States
Bianca E. Schneider Germany
Yumi Maeda Japan
G. Brubaker United States
Lata S. Nerurkar United States
Stephen W. LaFon United States
Léanie Kleynhans South Africa
P Olliaro Italy
Dan Agranoff relative to K Shimada Japan K Shimada's profile →
Citations per field
00.5×5.3×
K Shimada · 1×
Citations per year

Countries citing papers authored by Dan Agranoff

Since Specialization
Citations

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

Fields of papers citing papers by Dan Agranoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2006217
2 2004107
3 200170
4 200962
5 201059
6 200253
7 201530
8 200522
9 200819
10 199919
11 20067
12 20087
13 20081
14 20011

About Dan Agranoff

Dan Agranoff is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 674 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (3 papers), Infectious Diseases and Tuberculosis (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Complement system in diseases (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Amoebic Infections and Treatments (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (225 citations), Virology (56 citations), Epidemiology (203 citations), Parasitology (42 citations) and Microbiology (38 citations). Dan Agranoff has collaborated with scholars based in United Kingdom, Germany and Ghana. Frequent co-authors include Sanjeev Krishna, Marios C. Papadopoulos, Alison Loosemore, Edward Tarelli, Delmiro Fernández-Reyes, Richard Pollok, Mark Herbster, Sergio Rojas, Achim Schwenk and Tim Planche. Their work appears in journals such as PLoS ONE, The Lancet, Journal of Infection, Clinical Infectious Diseases and Trends in Parasitology.

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.

Explore authors with similar magnitude of impact