Eric Singleton

543 citations
13 papers · 352 · h-index 11

Impact in

Papers in

Eric Singleton

13 papers receiving 347 citations

Peers

Eric Singleton
Comparison fields: 5 of 73
  • Molecular Medicine 80
  • Endocrinology 79
  • Infectious Diseases 81
  • Microbiology 20
  • Molecular Biology 189
Replace Ramachandran Sarojini Santhosh with:
Ramachandran Sarojini Santhosh India
Meagan Hamblin United States
Neha Dhasmana India
Ahmed El Zoeiby Canada
Akane Tokumitsu Japan
Manohary Rajendram United States
Lingyi Deng United States
Giulia Manina France
Andréanne Lupien Canada
Atin Sharma India
Eric Singleton relative to Ramachandran Sarojini Santhosh India Ramachandran Sarojini Santhosh's profile →
Citations per field
00.5×1.5×1.8×
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 201689
2 201762
3 201750
4 201730
5 201827
6 201824
7 201514
8 201713
9 201812
10 202010
11 201710
12 20228
13 20243

About Eric Singleton

Eric Singleton is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Epidemiology and Computational Theory and Mathematics, having authored 13 papers that have together received 352 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), Computational Drug Discovery Methods (2 papers), Immune Response and Inflammation (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (80 citations), Endocrinology (79 citations), Infectious Diseases (81 citations), Microbiology (20 citations) and Molecular Biology (189 citations). Eric Singleton has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Nancy Connell, Daniel E. Kadouri, Shilpi Gupta, Kenneth Shatzkes, Chi Tang, Riccardo Russo, Joseph Rinaggio, Joel S. Freundlich, Alexander L. Perryman and Pradeep Kumar. Their work appears in journals such as Scientific Reports, mBio, Antimicrobial Agents and Chemotherapy, Pharmaceutical Research and RSC Medicinal Chemistry.

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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