R. T. TESTA

1.8k citations
34 papers · 1.4k · h-index 20

Impact in

Papers in

    • Microbial Natural Products and Biosynthesis 10
    • Antibiotics Pharmacokinetics and Efficacy 6
    • Enzyme Catalysis and Immobilization 6
    • Chemical Synthesis and Analysis 3

R. T. TESTA

34 papers receiving 1.2k citations

Peers

R. T. TESTA
Comparison fields: 5 of 87
  • Molecular Medicine 476
  • Microbiology 39
  • Pharmacology 612
  • Applied Microbiology and Biotechnology 66
  • Clinical Biochemistry 101
Replace J Fung-Tomc with:
J Fung-Tomc United States
Christopher Reading United States
H. Wallick United States
Sergio Lociuro Switzerland
Shōgo Kuwahara Japan
M. Jackson United States
J. Allan Waitz United States
Sachiko Gotô Japan
B Jaurin Sweden
Jean Dusart Belgium
R. T. TESTA relative to J Fung-Tomc United States J Fung-Tomc's profile →
Citations per field
00.5×2.6×
J Fung-Tomc · 1×
Citations per year

Countries citing papers authored by R. T. TESTA

Since Specialization
Citations

This map shows the geographic impact of R. T. TESTA'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 R. T. TESTA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. T. TESTA more than expected).

Fields of papers citing papers by R. T. TESTA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. T. TESTA. 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 R. T. TESTA. The network helps show where R. T. TESTA may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999329
2 1993104
3 200299
4 198575
5 197269
6 198968
7 198163
8 198550
9 198949
10 198739
11 196637
12 199536
13 199735
14 197433
15 197433
16 197532
17 197629
18 199127
19 197519
20 200119

About R. T. TESTA

R. T. TESTA is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Molecular Medicine and Epidemiology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (10 papers), Antibiotic Resistance in Bacteria (7 papers), Enzyme Catalysis and Immobilization (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Plant Disease Resistance and Genetics (3 papers), Chemical Synthesis and Analysis (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (476 citations), Microbiology (39 citations), Pharmacology (612 citations), Applied Microbiology and Biotechnology (66 citations) and Clinical Biochemistry (101 citations). R. T. TESTA has collaborated with scholars based in United States, Italy and China. Frequent co-authors include N V Jacobus, Peter J. Petersen, Jason Weiss, Phaik‐Eng Sum, N. A. KUCK, Mary P. Lechevalier, David P. Labeda, Gerald H. Wagman, Marvin Weinstein and Hubert A. Lechevalier. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Antibiotics, Journal of Medicinal Chemistry, Clinical Infectious Diseases and Annals of the New York Academy of Sciences.

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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