David E. Greenberg

79 papers receiving 2.5k citations

Peers

David E. Greenberg
Comparison fields: 5 of 131
  • Molecular Medicine 624
  • Endocrinology 418
  • Applied Microbiology and Biotechnology 97
  • Microbiology 203
  • Infectious Diseases 367
Replace Daniel V. Zurawski with:
Daniel V. Zurawski United States
Olivier Gaillot France
Mohammad Asgharzadeh Iran
Oliwia Makarewicz Germany
Dingqiang Chen China
Hisakazu Yano Japan
Payam Behzadi Iran
Damien Roux France
Kai‐Chih Chang Taiwan
Göte Swedberg Sweden
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Citations per year

Countries citing papers authored by David E. Greenberg

Since Specialization
Citations

This map shows the geographic impact of David E. Greenberg'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. Greenberg 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. Greenberg more than expected).

Fields of papers citing papers by David E. Greenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021139
2 2017127
3 2016106
4 2002103
5 200291
6 200685
7
Elevated levels of serum creatinine: recommendations for management and referral.
199979
8 200074
9 201071
10 201670
11 201369
12 200667
13 202056
14 201755
15 201752
16 201752
17 201751
18 201850
19 200948
20 201548

About David E. Greenberg

David E. Greenberg is a scholar working on Molecular Medicine, Molecular Biology, Epidemiology, Infectious Diseases and Endocrinology, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (25 papers), Bacterial biofilms and quorum sensing (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Cystic Fibrosis Research Advances (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Bacteriophages and microbial interactions (7 papers) and Antimicrobial Peptides and Activities (6 papers). The work is most often cited by research in Molecular Medicine (624 citations), Endocrinology (418 citations), Applied Microbiology and Biotechnology (97 citations), Microbiology (203 citations) and Infectious Diseases (367 citations). David E. Greenberg has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Bruce L. Geller, Seth M. Daly, Steven M. Holland, Jiwoong Kim, Kimberly R. Marshall‐Batty, Carolyn R. Sturge, Robert Steffen, Herbert L. DuPont, Reed Pifer and Adrian M. Zelazny. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, The Journal of Infectious Diseases, Open Forum Infectious Diseases and Infection and Immunity.

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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