S A Lerner

33 papers receiving 1.2k citations

Peers

S A Lerner
Comparison fields: 5 of 91
  • Molecular Medicine 505
  • Applied Microbiology and Biotechnology 75
  • Clinical Biochemistry 174
  • Infectious Diseases 385
  • Pharmacology 342
Replace C. C. Sanders with:
C. C. Sanders United States
H. M. Van Den Elzen Canada
Yoshikuni Onodera Japan
T Nishino Japan
Carla López-Causapé Spain
M Visalli United States
D. M. Ryan United Kingdom
Binghua Hao United States
Paul Majcherczyk Switzerland
Brian J. Morrow United States
S A Lerner relative to C. C. Sanders United States C. C. Sanders's profile →
Citations per field
00.5×3.6×
C. C. Sanders · 1×
Citations per year

Countries citing papers authored by S A Lerner

Since Specialization
Citations

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

Fields of papers citing papers by S A Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S A Lerner. 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 S A Lerner. The network helps show where S A Lerner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986221
2 1990134
3 199778
4 198677
5 199570
6 198870
7 196468
8 197649
9 198846
10 199146
11 199439
12 198739
13 199538
14 199431
15 199330
16 197930
17 198629
18 197524
19 198223
20 198622

About S A Lerner

S A Lerner is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Molecular Biology and Epidemiology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Bacterial Infections and Vaccines (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Reproductive tract infections research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Streptococcal Infections and Treatments (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Molecular Medicine (505 citations), Applied Microbiology and Biotechnology (75 citations), Clinical Biochemistry (174 citations), Infectious Diseases (385 citations) and Pharmacology (342 citations). S A Lerner has collaborated with scholars based in United States, Czechia and Sweden. Frequent co-authors include John P. Quinn, C. A. DiVincenzo, Edward J. Dudek, Shahriar Mobashery, Glenn W. Kaatz, S M Seo, Josephine A. Morello, Michael H. Perlin, Elias K. Manavathu and Marjorie Bohnhoff. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, Journal of Clinical Microbiology, Clinical Infectious Diseases and The Journal of Urology.

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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