Tom Vidmar
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
Papers in
-
- Statistical Methods in Clinical Trials 7
- Co-authors
- Robert W. Murray (1 shared paper)K.R. Marotti (1 shared paper)Alice H. Lin (1 shared paper)Evan B. Smith (5 shared papers)Mark E. Schnute (1 shared paper)Rex E. Hornish (4 shared papers)Jay T. Goodwin (1 shared paper)Steven L. Settle (1 shared paper)
- Journals
- Toxicologic Pathology (3 papers)Journal of Veterinary Pharmacology and Therapeutics (3 papers)Journal of Agricultural and Food Chemistry (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Journal of Nutrition (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Tom Vidmar
29 papers receiving 500 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 89
- Infectious Diseases 142
- Pharmacology 120
- Clinical Biochemistry 36
- Microbiology 25
Countries citing papers authored by Tom Vidmar
This map shows the geographic impact of Tom Vidmar'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 Tom Vidmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Vidmar more than expected).
Fields of papers citing papers by Tom Vidmar
This network shows the impact of papers produced by Tom Vidmar. 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 Tom Vidmar. The network helps show where Tom Vidmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Vidmar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 226 | |
| 2 | 2010 | 63 | |
| 3 | 1995 | 43 | |
| 4 | 1999 | 33 | |
| 5 | 1994 | 22 | |
| 6 | 1987 | 21 | |
| 7 | 1996 | 19 | |
| 8 | 1984 | 16 | |
| 9 | 1998 | 15 | |
| 10 | 1992 | 15 | |
| 11 | 1995 | 15 | |
| 12 | 2008 | 11 | |
| 13 | 2004 | 11 | |
| 14 | 1996 | 7 | |
| 15 | 1998 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 1985 | 3 |
About Tom Vidmar
Tom Vidmar is a scholar working on Statistics and Probability, Molecular Biology, Pharmacology, Management Science and Operations Research and Oncology, having authored 30 papers that have together received 556 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Optimal Experimental Design Methods (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Antibiotic Resistance in Bacteria (2 papers), Drug-Induced Adverse Reactions (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Molecular Medicine (89 citations), Infectious Diseases (142 citations), Pharmacology (120 citations), Clinical Biochemistry (36 citations) and Microbiology (25 citations). Tom Vidmar has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Robert W. Murray, K.R. Marotti, Alice H. Lin, Evan B. Smith, Mark E. Schnute, Rex E. Hornish, Jay T. Goodwin, Steven L. Settle, Terry J. Gilbertson and Robert A. Conradi. Their work appears in journals such as Toxicologic Pathology, Journal of Veterinary Pharmacology and Therapeutics, Journal of Agricultural and Food Chemistry, Antimicrobial Agents and Chemotherapy and Journal of Nutrition.
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.