Donald R. Graham
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 7
- Infectious Diseases top 1%
- Antimicrobial Resistance in Staphylococcus 14
- Antifungal resistance and susceptibility 6
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 5
- Pharmacology top 1%
- Antibiotics Pharmacokinetics and Efficacy 12
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- Streptococcal Infections and Treatments 10
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- Orthopedic Infections and Treatments 8
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- Vibrio bacteria research studies 4
- Co-authors
- Alan D. TiceSusan J. RehmLawrence MartinelliM KünkelDavid N. WilliamsJohn S. BradleyRobert W. YanceyR. Brooks Gainer
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Donald R. Graham
71 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 145
- Applied Microbiology and Biotechnology 325
- Clinical Biochemistry 578
- Infectious Diseases 1.3k
- Molecular Medicine 240
- Pharmacology 660
Countries citing papers authored by Donald R. Graham
This map shows the geographic impact of Donald R. Graham'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 Donald R. Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald R. Graham more than expected).
Fields of papers citing papers by Donald R. Graham
This network shows the impact of papers produced by Donald R. Graham. 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 Donald R. Graham. The network helps show where Donald R. Graham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donald R. Graham, 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 | 2017 | 14 | |
| 2 | 2013 | 36 | |
| 3 | 2008 | 105 | |
| 4 | 2008 | 236 | |
| 5 | 2007 | 25 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 82 | |
| 8 | 2002 | 117 | |
| 9 | 1999 | 144 | |
| 10 | 1998 | 4 | |
| 11 | 1998 | 18 | |
| 12 | 1996 | 23 | |
| 13 | 1996 | 11 | |
| 14 | 1995 | 19 | |
| 15 | 1995 | 2 | |
| 16 | 1993 | 1 | |
| 17 | 1991 | 152 | |
| 18 | 1990 | 63 | |
| 19 | 1980 | 58 | |
| 20 | 1970 | 1 |
About Donald R. Graham
Donald R. Graham is a scholar working on Applied Microbiology and Biotechnology, Endocrinology and Infectious Diseases, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (14 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Streptococcal Infections and Treatments (10 papers), Orthopedic Infections and Treatments (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antifungal resistance and susceptibility (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (325 citations), Clinical Biochemistry (578 citations) and Infectious Diseases (1.3k citations). Donald R. Graham has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Alan D. Tice, Susan J. Rehm, Lawrence Martinelli, M Künkel, David N. Williams, John S. Bradley, Robert W. Yancey, R. Brooks Gainer, J. R. Dalovisio and W. A. Zamboni. Their work appears in journals such as The Lancet, JAMA and Annals of Internal 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.