Ronald N. Master

16 papers receiving 574 citations

Peers

Ronald N. Master
Comparison fields: 5 of 86
  • Applied Microbiology and Biotechnology 104
  • Molecular Medicine 246
  • Clinical Biochemistry 118
  • Endocrinology 71
  • Epidemiology 367
Replace Chun-Eng Liu with:
Chun-Eng Liu Taiwan
S. Nys Netherlands
Kwok-Woon Yu Taiwan
Andrea Lázár Hungary
D. J. Farrell United States
Lambrini Galani Greece
Kelley A. Gordon United States
L. Gualco Italy
G Ravizzola Italy
Nikolaos A. Triarides United States
Ronald N. Master relative to Chun-Eng Liu Taiwan Chun-Eng Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ronald N. Master

Since Specialization
Citations

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

Fields of papers citing papers by Ronald N. Master

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald N. Master. 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 Ronald N. Master. The network helps show where Ronald N. Master may publish in the future.

Co-authors

The 23 scholars most cited alongside Ronald N. Master, 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 Ronald N. Master Line = papers co-authored together Ronald N. Master links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20222
2 20217
3 20213
4 201922
5 20178
6 2016130
7 20143
8 201321
9 2012106
10 2012180
11 20115
12 201141
13 20109
14 201022
15 200435
16 20033

About Ronald N. Master

Ronald N. Master is a scholar working on Microbiology, Molecular Medicine, Applied Microbiology and Biotechnology, Clinical Biochemistry and Small Animals, having authored 16 papers that have together received 597 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (6 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Pneumonia and Respiratory Infections (4 papers), Urinary Tract Infections Management (3 papers), Infectious Diseases and Mycology (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (104 citations), Molecular Medicine (246 citations), Clinical Biochemistry (118 citations), Endocrinology (71 citations) and Epidemiology (367 citations). Ronald N. Master has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include José Bordón, Guillermo V. Sanchez, James A. Karlowsky, Richard B. Clark, Ahmed Babiker, Padmaraj Duvvuri, Ekta Gupta, Guillermo V. Sanchez, Daniel F. Sahm and Julio A. Ramírez. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Microbiology Spectrum, Antimicrobial Agents and Chemotherapy, Journal of Clinical Pathology and Annals of Clinical Microbiology and Antimicrobials.

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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