Raymond Cha

1.5k citations
42 papers · 1.1k · h-index 20

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 10
    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 3
    • Antibiotics Pharmacokinetics and Efficacy 13

Raymond Cha

38 papers receiving 1.1k citations

Peers

Raymond Cha
Comparison fields: 5 of 107
  • Molecular Medicine 156
  • Clinical Biochemistry 167
  • Infectious Diseases 411
  • Pharmacology 212
  • Applied Microbiology and Biotechnology 18
Replace Patty Fan‐Havard with:
Patty Fan‐Havard United States
Ursula Hollenstein Austria
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Citations per field
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Citations per year

Countries citing papers authored by Raymond Cha

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199899
2 200389
3 200784
4 200380
5 200379
6 200267
7 200465
8 200361
9 200350
10 200345
11 199943
12 200443
13 201928
14 202027
15 199926
16 201924
17 200821
18 201721
19 201820
20 200519

About Raymond Cha

Raymond Cha is a scholar working on Infectious Diseases, Pharmacology, Epidemiology, Molecular Medicine and Molecular Biology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (13 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotic Resistance in Bacteria (8 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), HIV/AIDS Research and Interventions (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Molecular Medicine (156 citations), Clinical Biochemistry (167 citations), Infectious Diseases (411 citations), Pharmacology (212 citations) and Applied Microbiology and Biotechnology (18 citations). Raymond Cha has collaborated with scholars based in United States, Australia and Zimbabwe. Frequent co-authors include Michael J. Rybak, Ruth Etzioni, Jack D. Sobel, Eric J. Feuer, Elizabeth A. Coyle, George P. Allen, Glenn W. Kaatz, William J. Brown, Robert J. Kerns and Mark E. Cowen. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Urology, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Diagnostic Microbiology and Infectious Disease and Journal of Antimicrobial Chemotherapy.

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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