Greg Moeck

79 papers receiving 2.8k citations

Greg Moeck's Hit Papers

Cefepime–Taniborbactam in Complicated Urinary Tract Infection 2024 · 78 citations
780+1Years since publication255075

Peers

Greg Moeck
Comparison fields: 5 of 107
  • Molecular Medicine 667
  • Infectious Diseases 1.0k
  • Applied Microbiology and Biotechnology 94
  • Microbiology 309
  • Clinical Biochemistry 315
Replace Birte Vester with:
Birte Vester Denmark
Michael A. Lobritz United States
Jared Silverman United States
Hideaki Hanaki Japan
G Satta Italy
Francis F. Arhin Canada
Thalia I. Nicas United States
Geoffrey A. McKay Canada
Yigong Ge United States
Stephen Rittenhouse United States
Greg Moeck relative to Birte Vester Denmark Birte Vester's profile →
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Citations per year

Countries citing papers authored by Greg Moeck

Since Specialization
Citations

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

Fields of papers citing papers by Greg Moeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Moeck. 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 Greg Moeck. The network helps show where Greg Moeck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998259
2 2014246
3 2004194
4 2014180
5 2008150
6 2009119
7 201099
8 200894
9 199787
10
Cefepime–Taniborbactam in Complicated Urinary Tract Infection
Hit paper breakdown →
202478
11 199676
12 200875
13 200868
14 199968
15 200160
16 200956
17 201550
18 202249
19 201048
20 200548

About Greg Moeck

Greg Moeck is a scholar working on Pharmacology, Infectious Diseases, Molecular Medicine, Epidemiology and Molecular Biology, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (36 papers), Antibiotic Resistance in Bacteria (34 papers), Antimicrobial Resistance in Staphylococcus (34 papers), Bacterial Identification and Susceptibility Testing (14 papers), Bacterial Genetics and Biotechnology (12 papers), Pneumonia and Respiratory Infections (8 papers), Antibiotic Use and Resistance (7 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Molecular Medicine (667 citations), Infectious Diseases (1.0k citations), Applied Microbiology and Biotechnology (94 citations), Microbiology (309 citations) and Clinical Biochemistry (315 citations). Greg Moeck has collaborated with scholars based in United States, Canada and France. Frequent co-authors include James W. Coulton, Francis F. Arhin, Adam Belley, Thomas Parr, Geoffrey A. McKay, Ingrid Sarmiento, Lucienne Letellìer, Sylvain Beaulieu, Daniel F. Sahm and Hai Jiang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Open Forum Infectious Diseases, International Journal of Antimicrobial Agents, Journal of Bacteriology and Diagnostic Microbiology and Infectious Disease.

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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