D. W. Hecht

1.3k citations
20 papers · 976 · h-index 17

Impact in

Papers in

    • Bacterial Identification and Susceptibility Testing 13
    • Antimicrobial Resistance in Staphylococcus 3
    • Clostridium difficile and Clostridium perfringens research 3

D. W. Hecht

20 papers receiving 920 citations

Peers

D. W. Hecht
Comparison fields: 5 of 80
  • Clinical Biochemistry 522
  • Molecular Medicine 224
  • Applied Microbiology and Biotechnology 73
  • Endocrinology 120
  • Infectious Diseases 400
Replace C. Pierson with:
C. Pierson United States
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Joseph R. DiPersio United States
David W. Hecht United States
S D Allen United States
K. Ramotar Canada
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Citations per field
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Citations per year

Countries citing papers authored by D. W. Hecht

Since Specialization
Citations

This map shows the geographic impact of D. 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 D. 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 D. W. Hecht more than expected).

Fields of papers citing papers by D. W. Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2004129
2 2007127
3 1980103
4 199977
5 201175
6 200274
7 200559
8 201651
9 198849
10 200238
11 198935
12 201527
13 199126
14 198122
15 199522
16 198919
17 200518
18 200211
19 20028
20 19706

About D. W. Hecht

D. W. Hecht is a scholar working on Clinical Biochemistry, Infectious Diseases, Molecular Medicine, Endocrinology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 976 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (13 papers), Antibiotic Resistance in Bacteria (5 papers), Diphtheria, Corynebacterium, and Tetanus (4 papers), Streptococcal Infections and Treatments (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Bacteriophages and microbial interactions (3 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Clinical Biochemistry (522 citations), Molecular Medicine (224 citations), Applied Microbiology and Biotechnology (73 citations), Endocrinology (120 citations) and Infectious Diseases (400 citations). D. W. Hecht has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Joseph T. Parisi, David R. Snydman, Stephen G. Jenkins, Lizzie J. Harrell, S M Finegold, N V Jacobus, L. A. McDermott, Michael H. Malamy, Ellie J. C. Goldstein and John D. Rihs. Their work appears in journals such as Clinical Infectious Diseases, Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases and European Journal of Clinical Microbiology & Infectious Diseases.

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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