David E. Ehmann

3.2k citations
33 papers · 2.7k · h-index 25

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 15
    • Antibiotics Pharmacokinetics and Efficacy 12
    • Microbial Natural Products and Biosynthesis 6

David E. Ehmann

33 papers receiving 2.6k citations

Peers

David E. Ehmann
Comparison fields: 5 of 99
  • Molecular Medicine 1.5k
  • Applied Microbiology and Biotechnology 220
  • Pharmacology 1.1k
  • Endocrinology 173
  • Toxicology 73
Replace Sushmita D. Lahiri with:
Sushmita D. Lahiri United States
Ronald E. Painter United States
Scott J. Hecker United States
Leticia Irene Llarrull United States
Robert J. Kerns United States
Jürgen Brem United Kingdom
Phaik‐Eng Sum United States
Emilia Caselli Italy
Philip Hinchliffe United Kingdom
Thomas F. Durand-Réville United States
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Citations per field
00.5×1.7×
Sushmita D. Lahiri · 1×
Citations per year

Countries citing papers authored by David E. Ehmann

Since Specialization
Citations

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

Fields of papers citing papers by David E. Ehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012458
2 2013330
3 2017252
4 2015218
5 1999149
6 2015123
7 2000104
8 201198
9 200097
10 201493
11 201284
12 201674
13 201573
14 201470
15 200167
16 199857
17 199750
18 201547
19 201442
20 200041

About David E. Ehmann

David E. Ehmann is a scholar working on Molecular Medicine, Pharmacology, Molecular Biology, Microbiology and Infectious Diseases, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Cancer therapeutics and mechanisms (11 papers), Microbial Natural Products and Biosynthesis (6 papers), Muscle Physiology and Disorders (3 papers), Biochemical and Structural Characterization (3 papers), Advanced NMR Techniques and Applications (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Applied Microbiology and Biotechnology (220 citations), Pharmacology (1.1k citations), Endocrinology (173 citations) and Toxicology (73 citations). David E. Ehmann has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Christopher T. Walsh, Stewart L. Fisher, Rong-Fang Gu, Haris Jahić, Grant K. Walkup, Philip L. Ross, Jun Jie Hu, Sushmita D. Lahiri, Gunther H. Kern and Jason Thresher. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, Biochemistry, ChemBioChem and Journal of Biological Chemistry.

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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