Tom Vidmar
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy
Papers in ⓘ
-
- Carcinogens and Genotoxicity Assessment 4
- Co-authors
- Robert W. Murray (1 shared paper)Alice H. Lin (1 shared paper)K.R. Marotti (1 shared paper)Evan B. Smith (4 shared papers)T. Sunyer (1 shared paper)Olga V. Nemirovskiy (1 shared paper)Dean Messing (1 shared paper)Steven L. Settle (1 shared paper)
- Journals
- Journal of Veterinary Pharmacology and Therapeutics (3 papers)Toxicologic Pathology (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Atherosclerosis (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Tom Vidmar
21 papers receiving 457 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 88
- Pharmacology 130
- Infectious Diseases 141
- Clinical Biochemistry 45
- 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 213 | |
| 2 | 2010 | 62 | |
| 3 | 1995 | 42 | |
| 4 | 1999 | 28 | |
| 5 | 1987 | 23 | |
| 6 | 1996 | 19 | |
| 7 | 1987 | 19 | |
| 8 | 1994 | 19 | |
| 9 | 1998 | 15 | |
| 10 | 1992 | 15 | |
| 11 | 1995 | 15 | |
| 12 | 2004 | 10 | |
| 13 | 2014 | 4 | |
| 14 | 1998 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 1985 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 1984 | 2 | |
| 19 | 1997 | 2 | |
| 20 | 1980 | 1 |
About Tom Vidmar
Tom Vidmar is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Oncology and Infectious Diseases, having authored 24 papers that have together received 504 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Statistical Methods in Clinical Trials (3 papers), Liver Disease Diagnosis and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Chronic Kidney Disease and Diabetes (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Molecular Medicine (88 citations), Pharmacology (130 citations), Infectious Diseases (141 citations), Clinical Biochemistry (45 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, Alice H. Lin, K.R. Marotti, Evan B. Smith, T. Sunyer, Olga V. Nemirovskiy, Dean Messing, Steven L. Settle, Peter Ruminski and Alison M. Bendele. Their work appears in journals such as Journal of Veterinary Pharmacology and Therapeutics, Toxicologic Pathology, Antimicrobial Agents and Chemotherapy, Journal of Agricultural and Food Chemistry and Atherosclerosis.
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.