Eric Singleton

550 citations
13 papers · 376 · h-index 11

Impact in

Papers in

Eric Singleton

13 papers receiving 369 citations

Peers

Eric Singleton
Comparison fields: 5 of 73
  • Molecular Medicine 80
  • Endocrinology 80
  • Infectious Diseases 84
  • Microbiology 20
  • Molecular Biology 193
Replace Ramachandran Sarojini Santhosh with:
Ramachandran Sarojini Santhosh India
Gerardo Aparicio‐Ozores Mexico
Ahmed El Zoeiby Canada
Manohary Rajendram United States
Rekha Arya India
Mariana Wahjudi Indonesia
Osmel Fleitas Martínez Brazil
Shakhinur Islam Mondal Bangladesh
Giulia Manina France
Adam J. Schaenzer United States
Eric Singleton relative to Ramachandran Sarojini Santhosh India Ramachandran Sarojini Santhosh's profile →
Citations per field
00.5×1.7×
Ramachandran Sarojini Santhosh · 1×
Citations per year

Countries citing papers authored by Eric Singleton

Since Specialization
Citations

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

Fields of papers citing papers by Eric Singleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201691
2 201768
3 201757
4 201732
5 201828
6 201825
7 201514
8 201813
9 201713
10 201712
11 202011
12 20229
13 20243

About Eric Singleton

Eric Singleton is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Epidemiology and Molecular Medicine, having authored 13 papers that have together received 376 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Vibrio bacteria research studies (4 papers), Cancer therapeutics and mechanisms (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Immune Response and Inflammation (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Molecular Medicine (80 citations), Endocrinology (80 citations), Infectious Diseases (84 citations), Microbiology (20 citations) and Molecular Biology (193 citations). Eric Singleton has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Nancy Connell, Daniel E. Kadouri, Riccardo Russo, Chi Tang, Kenneth Shatzkes, Shilpi Gupta, Joseph Rinaggio, Joel S. Freundlich, Alexander L. Perryman and Pradeep Kumar. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Scientific Reports, mBio, Journal of Clinical Microbiology and Bioorganic & Medicinal Chemistry Letters.

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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