M E Erwin

44 papers receiving 870 citations

Peers

M E Erwin
Comparison fields: 5 of 74
  • Molecular Medicine 303
  • Clinical Biochemistry 159
  • Applied Microbiology and Biotechnology 39
  • Infectious Diseases 355
  • Pharmacology 279
Replace F. W. Goldstein with:
F. W. Goldstein France
Meridith E. Erwin United States
Helen T. Fernandez United States
Michael A. Pfaller United States
Carmen Betriú Spain
Klaudia Kosowska-Shick United States
Deborah Ashcraft United States
N. Brenwald United Kingdom
A Buré France
James A. Poupard United States
M E Erwin relative to F. W. Goldstein France F. W. Goldstein's profile →
Citations per field
00.5×1.5×
F. W. Goldstein · 1×
Citations per year

Countries citing papers authored by M E Erwin

Since Specialization
Citations

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

Fields of papers citing papers by M E Erwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996169
2 1996118
3 199689
4 199759
5 199942
6 199341
7 199236
8 199230
9 199926
10 200024
11 199918
12 199218
13 199317
14 199116
15 199915
16 199214
17 199913
18 199912
19 199012
20 199512

About M E Erwin

M E Erwin is a scholar working on Pharmacology, Molecular Medicine, Epidemiology, Infectious Diseases and Clinical Biochemistry, having authored 44 papers that have together received 926 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (25 papers), Antibiotic Resistance in Bacteria (23 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Pneumonia and Respiratory Infections (11 papers), Bacterial Identification and Susceptibility Testing (10 papers), Bacterial Infections and Vaccines (8 papers), Legionella and Acanthamoeba research (5 papers) and Reproductive tract infections research (5 papers). The work is most often cited by research in Molecular Medicine (303 citations), Clinical Biochemistry (159 citations), Applied Microbiology and Biotechnology (39 citations), Infectious Diseases (355 citations) and Pharmacology (279 citations). M E Erwin has collaborated with scholars based in United States, Brazil and Ireland. Frequent co-authors include Ronald N. Jones, David M. Johnson, M S Barrett, Michael A. Pfaller, Douglas J. Biedenbach, Ana Espinel‐Ingroff, Richard R. Facklam, Anne Schuchat, Monica M. Farley and Henry M. Blumberg. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases and Drugs.

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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