David W. Hecht

2.0k citations
41 papers · 1.6k indexed · h-index 22

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology
    • Antimicrobial Resistance in Staphylococcus

Papers in

David W. Hecht

41 papers receiving 1.5k citations

Peers

David W. Hecht
Comparison fields: 5 of 94
  • Clinical Biochemistry 510
  • Infectious Diseases 878
  • Molecular Medicine 230
  • Applied Microbiology and Biotechnology 84
  • Endocrinology 115
Replace L. A. McDermott with:
L. A. McDermott United States
Tracy Ross United States
Theodore Gouliouris United Kingdom
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Güner Söyletir Türkiye
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Citations per field
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L. A. McDermott · 1×
Citations per year

Countries citing papers authored by David W. Hecht

Since Specialization
Citations

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

Fields of papers citing papers by David W. Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201639
2 201645
3 201517
4 2010110
5 201026
6 20103
7 2008115
8 20075
9 200712
10 200631
11 200514
12 200595
13 200336
14 200212
15 199917
16 199622
17 199645
18 199633
19 19955
20 199331

About David W. Hecht

David W. Hecht is a scholar working on Clinical Biochemistry, Molecular Medicine, Endocrinology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (19 papers), Clostridium difficile and Clostridium perfringens research (15 papers), Bacterial Genetics and Biotechnology (7 papers), Streptococcal Infections and Treatments (7 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Diphtheria, Corynebacterium, and Tetanus (4 papers). The work is most often cited by research in Clinical Biochemistry (510 citations), Infectious Diseases (878 citations), Molecular Medicine (230 citations), Applied Microbiology and Biotechnology (84 citations) and Endocrinology (115 citations). David W. Hecht has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Dale N. Gerding, Stuart Johnson, James R. Osmolski, Minerva Galang, Susan P. Sambol, Gayatri Vedantam, Jennifer R. O’Connor, Hannah M. Wexler, Toral Patel and Christopher Schriever. Their work appears in journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Molecular Microbiology and The American Journal of Surgery.

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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