Robert J. Polzer

824 citations
10 papers · 686 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
    • Antibiotics Pharmacokinetics and Efficacy
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 6
    • Pharmacogenetics and Drug Metabolism 2
    • Antibiotic Resistance in Bacteria 3

Robert J. Polzer

10 papers receiving 635 citations

Peers

Robert J. Polzer
Comparison fields: 5 of 89
  • Molecular Medicine 137
  • Pharmacology 218
  • Pharmacology 49
  • Endocrinology 28
  • Computational Theory and Mathematics 89
Replace Holger Paulsen with:
Holger Paulsen Germany
Minoru Nishida Japan
Patrick J. Rudewicz United States
M.T. Hilgers United States
Piero Sensi Germany
Usa Datta Reilly United States
Ilaria Giordano United Kingdom
Xingzhen Lao China
Anna M. Upton United States
Anthony Shillings United Kingdom
Robert J. Polzer relative to Holger Paulsen Germany Holger Paulsen's profile →
Citations per field
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Holger Paulsen · 1×
Citations per year

Countries citing papers authored by Robert J. Polzer

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Polzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Polzer. 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 Robert J. Polzer. The network helps show where Robert J. Polzer may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2003247
2 1996124
3 201688
4 199765
5 199662
6 199732
7 199722
8 199722
9 199718
10 19956

About Robert J. Polzer

Robert J. Polzer is a scholar working on Pharmacology, Molecular Medicine, Clinical Biochemistry, Pharmacology and Epidemiology, having authored 10 papers that have together received 686 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (6 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Cancer therapeutics and mechanisms (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Carcinogens and Genotoxicity Assessment (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Molecular Medicine (137 citations), Pharmacology (218 citations), Pharmacology (49 citations), Endocrinology (28 citations) and Computational Theory and Mathematics (89 citations). Robert J. Polzer has collaborated with scholars based in United States. Frequent co-authors include Jing Lin, Steven M. Winter, Jinghai James Xu, Richard P. Zaniewski, Suzanne L. Haskell, DENNIS GIRARD, Thomas D. Gootz, Patrice M. Courvalin, Jacques Tankovic and Paul H. Edelstein. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Current Topics in Medicinal Chemistry, Chemico-Biological Interactions and mAbs.

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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