Raymond Cha

37 papers receiving 1.1k citations

Peers

Raymond Cha
Comparison fields: 5 of 112
  • Molecular Medicine 180
  • Clinical Biochemistry 227
  • Infectious Diseases 464
  • Pharmacology 264
  • Applied Microbiology and Biotechnology 23
Replace H. G. de Vries-Hospers with:
H. G. de Vries-Hospers Netherlands
Kayla R. Stover United States
Ómar Vesga Colombia
Francesco Menichetti Italy
Katie E. Barber United States
Jamie L. Wagner United States
P Van der Auwera Belgium
Alessia Carnelutti Italy
Shinwon Lee South Korea
Mabel Aoun Lebanon
Raymond Cha relative to H. G. de Vries-Hospers Netherlands H. G. de Vries-Hospers's profile →
Citations per field
00.5×9.8×
H. G. de Vries-Hospers · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199899
2 200389
3 200783
4 200380
5 200379
6 200266
7 200464
8 200361
9 200350
10 200344
11 200443
12 199943
13 201927
14 199926
15 202025
16 201923
17 200821
18 201721
19 201820
20 200519

About Raymond Cha

Raymond Cha is a scholar working on Infectious Diseases, Pharmacology, Molecular Medicine, Epidemiology and Molecular Biology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (16 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Antibiotic Resistance in Bacteria (13 papers), Bacterial Identification and Susceptibility Testing (6 papers), HIV Research and Treatment (4 papers), Bacterial biofilms and quorum sensing (4 papers), Streptococcal Infections and Treatments (4 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Molecular Medicine (180 citations), Clinical Biochemistry (227 citations), Infectious Diseases (464 citations), Pharmacology (264 citations) and Applied Microbiology and Biotechnology (23 citations). Raymond Cha has collaborated with scholars based in United States, Australia and Israel. 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, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, The Journal of Urology, Bioorganic & Medicinal Chemistry Letters and Open Forum Infectious Diseases.

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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