Michael Postelnick

86 papers receiving 2.3k citations

Peers

Michael Postelnick
Comparison fields: 5 of 126
  • Applied Microbiology and Biotechnology 424
  • Molecular Medicine 386
  • Clinical Biochemistry 369
  • Geriatrics and Gerontology 141
  • Pharmacology 636
Replace Conan MacDougall with:
Conan MacDougall United States
John A. Bosso United States
B. Joseph Guglielmo United States
Emily L. Heil United States
Nimish Patel United States
Richard M. Reichley United States
Melinda M. Neuhauser United States
Santiago Grau Spain
Christopher R. Frei United States
Debra A. Goff United States
Michael Postelnick relative to Conan MacDougall United States Conan MacDougall's profile →
Citations per field
00.5×1.5×2.2×
Conan MacDougall · 1×
Citations per year

Countries citing papers authored by Michael Postelnick

Since Specialization
Citations

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

Fields of papers citing papers by Michael Postelnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000293
2 2015169
3 1998155
4 2019148
5 2014124
6 2013106
7 200786
8 201180
9 200875
10 199871
11 200967
12 200666
13 201266
14 201164
15 201251
16 202042
17 200640
18 201039
19 200736
20 200836

About Michael Postelnick

Michael Postelnick is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Pharmacology, Clinical Biochemistry and Epidemiology, having authored 88 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (30 papers), Bacterial Identification and Susceptibility Testing (19 papers), Antibiotics Pharmacokinetics and Efficacy (17 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Antibiotic Resistance in Bacteria (11 papers), Drug-Induced Adverse Reactions (8 papers), Antifungal resistance and susceptibility (6 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (424 citations), Molecular Medicine (386 citations), Clinical Biochemistry (369 citations), Geriatrics and Gerontology (141 citations) and Pharmacology (636 citations). Michael Postelnick has collaborated with scholars based in United States, Saudi Arabia and Netherlands. Frequent co-authors include Marc H. Scheetz, Gary A. Noskin, Teresa Zembower, Lance R. Peterson, Chao Qi, John S. Esterly, Michael A. Fotis, Valentina Stosor, Paul A. Greenberger and Lucas Schulz. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection Control and Hospital Epidemiology, American Journal of Health-System Pharmacy, Open Forum Infectious Diseases 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.

Explore authors with similar magnitude of impact