Dwight J. Hardy
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 28
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing 21
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 23
- Microbiology top 2%
- Bacterial Infections and Vaccines 11
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- Antibiotics Pharmacokinetics and Efficacy 28
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- Pneumonia and Respiratory Infections 25
- Mycobacterium research and diagnosis 7
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- Cancer therapeutics and mechanisms 10
- Co-authors
- Prabhavathi FernandesR. N. SwansonDena M. HenseyC W HansonEdith McDonaldJill BeyerN. L. ShipkowitzJacob J. Clement
- Journals
- Nucleic Acids Research (1 paper)Clinical Infectious Diseases (1 paper)The American Journal of Medicine (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Dwight J. Hardy
86 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Medicine 721
- Applied Microbiology and Biotechnology 105
- Clinical Biochemistry 327
- Infectious Diseases 825
- Microbiology 268
Countries citing papers authored by Dwight J. Hardy
This map shows the geographic impact of Dwight J. Hardy'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 Dwight J. Hardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dwight J. Hardy more than expected).
Fields of papers citing papers by Dwight J. Hardy
This network shows the impact of papers produced by Dwight J. Hardy. 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 Dwight J. Hardy. The network helps show where Dwight J. Hardy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dwight J. Hardy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2019 | 36 | |
| 6 | CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Testsbreakdown → | 2018 | 519 |
| 7 | 2012 | 55 | |
| 8 | 2012 | 15 | |
| 9 | 2011 | 4 | |
| 10 | 2007 | 23 | |
| 11 | 2002 | 16 | |
| 12 | 1996 | 3 | |
| 13 | 1993 | 10 | |
| 14 | 1993 | 5 | |
| 15 | 1993 | 19 | |
| 16 | 1992 | 6 | |
| 17 | 1992 | 10 | |
| 18 | 1991 | 10 | |
| 19 | 1991 | 39 | |
| 20 | 1991 | 10 |
About Dwight J. Hardy
Dwight J. Hardy is a scholar working on Molecular Medicine, Clinical Biochemistry and Microbiology, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (28 papers), Antibiotics Pharmacokinetics and Efficacy (28 papers), Pneumonia and Respiratory Infections (25 papers), Antimicrobial Resistance in Staphylococcus (23 papers), Bacterial Identification and Susceptibility Testing (21 papers), Bacterial Infections and Vaccines (11 papers), Cancer therapeutics and mechanisms (10 papers) and Mycobacterium research and diagnosis (7 papers). The work is most often cited by research in Molecular Medicine (721 citations), Applied Microbiology and Biotechnology (105 citations) and Clinical Biochemistry (327 citations). Dwight J. Hardy has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Prabhavathi Fernandes, R. N. Swanson, Dena M. Hensey, C W Hanson, Edith McDonald, Jill Beyer, N. L. Shipkowitz, Jacob J. Clement, Ronald N. Jones and Barbara Zimmer. Their work appears in journals such as Nucleic Acids Research, Clinical Infectious Diseases and The American Journal of Medicine.
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.