R E Kessler

47 papers receiving 1.7k citations

Hit Papers

Growth characteristics of group A streptococci in a new chemically defined medium 1980 · 414 citations
4141980202619952010100200300400

Peers

R E Kessler
Comparison fields: 5 of 101
  • Molecular Medicine 643
  • Applied Microbiology and Biotechnology 150
  • Pharmacology 590
  • Microbiology 175
  • Endocrinology 144
Replace Agnès Girard with:
Agnès Girard United States
Walter H. Traub Germany
Matthias Willmann Germany
Toshinobu Horii Japan
Greg Moeck United States
Cynthia H. O'Callaghan United Kingdom
María‐Isabel Morosini Spain
A. Simon Lynch United States
Bianca Graves Australia
Matthias Marschal Germany
R E Kessler relative to Agnès Girard United States Agnès Girard's profile →
Citations per field
00.5×1.5×2.5×
Agnès Girard · 1×
Citations per year

Countries citing papers authored by R E Kessler

Since Specialization
Citations

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

Fields of papers citing papers by R E Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200122
2 19975
3 1996109
4 199634
5 199654
6 199510
7 19941
8 199323
9 199171
10 198840
11 198810
12 198665
13 1985141
14 198514
15 1983101
16 19832
17 19819
18 197920
19 197923
20 197912

About R E Kessler

R E Kessler is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Pharmacology and Microbiology, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (17 papers), Streptococcal Infections and Treatments (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Pneumonia and Respiratory Infections (4 papers), Lipid Membrane Structure and Behavior (4 papers), Immune Response and Inflammation (4 papers) and Neonatal and Maternal Infections (4 papers). The work is most often cited by research in Molecular Medicine (643 citations), Applied Microbiology and Biotechnology (150 citations), Pharmacology (590 citations), Microbiology (175 citations) and Endocrinology (144 citations). R E Kessler has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include I van de Rijn, J Fung-Tomc, Thomas J. Dougherty, Michael J. Pucci, Gerald D. Shockman, E Huczko, Don B. Clewell, James H. Tenney, William E. Sanders and Yusuke Yagi. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Infection and Immunity, Journal of Clinical Microbiology and Clinical 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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