Christopher McCoy

41 papers receiving 935 citations

Peers

Christopher McCoy
Comparison fields: 5 of 120
  • Molecular Medicine 136
  • Medical Terminology 5
  • Applied Microbiology and Biotechnology 31
  • Family Practice 32
  • Pharmacology 108
Replace Rovina Ruslami with:
Rovina Ruslami Indonesia
Paul Belliveau United States
Carrie Fry United States
Robert Janknegt Netherlands
S. James Matthews United States
Igor Francetić Croatia
Dan N. Tran United States
Christopher Giuliano United States
Christopher Miller United States
Russell R. Kempker United States
Christopher McCoy relative to Rovina Ruslami Indonesia Rovina Ruslami's profile →
Citations per field
00.5×1.5×1.8×
Rovina Ruslami · 1×
Citations per year

Countries citing papers authored by Christopher McCoy

Since Specialization
Citations

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

Fields of papers citing papers by Christopher McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003139
2 201099
3 201164
4 201756
5 200451
6 201550
7 200139
8 200433
9 202132
10 200931
11 201629
12 201129
13 200627
14 201627
15 201827
16 201326
17 200725
18 201725
19 201218
20 200314

About Christopher McCoy

Christopher McCoy is a scholar working on Epidemiology, Infectious Diseases, Pharmacology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 43 papers that have together received 965 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), Antibiotic Use and Resistance (7 papers), Urinary Tract Infections Management (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Hospital Admissions and Outcomes (4 papers), Antibiotic Resistance in Bacteria (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Molecular Medicine (136 citations), Medical Terminology (5 citations), Applied Microbiology and Biotechnology (31 citations), Family Practice (32 citations) and Pharmacology (108 citations). Christopher McCoy has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include S. James Matthews, M. Hassan Murad, Víctor M. Montori, Amy T. Wang, James E. Kirby, George M. Eliopoulos, Elizabeth B. Hirsch, Furman S. McDonald, Anthony D. Kang and Kenny Smith. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Therapeutics, Antimicrobial Agents and Chemotherapy, Western Journal of Emergency Medicine and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

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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