Torin R. Weisbrod
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 6
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 18
- Epidemiology top 2%
- Mycobacterium research and diagnosis 16
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Molecular Biology top 10%
- Cancer therapeutics and mechanisms 3
- Biochemical and Molecular Research 1
- Endocrinology top 10%
- Escherichia coli research studies 2
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- Bacteriophages and microbial interactions 4
- Co-authors
- William R. JacobsCatherine VilchèzeDavid AllandJames C. SacchettiniBarry R. BloomLaurent KremerManzour Hernando HazbónJeffrey D. Cirillo
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Medicine (1 paper)Journal of Bacteriology (6 papers)
- Partner nations
- United StatesFranceSouth Africa
In The Last Decade
Torin R. Weisbrod
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 368
- Infectious Diseases 1.4k
- Epidemiology 1.1k
- Molecular Biology 868
- Endocrinology 55
Countries citing papers authored by Torin R. Weisbrod
This map shows the geographic impact of Torin R. Weisbrod'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 Torin R. Weisbrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torin R. Weisbrod more than expected).
Fields of papers citing papers by Torin R. Weisbrod
This network shows the impact of papers produced by Torin R. Weisbrod. 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 Torin R. Weisbrod. The network helps show where Torin R. Weisbrod may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Torin R. Weisbrod, 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 | 2018 | 32 | |
| 2 | 2017 | 135 | |
| 3 | 2016 | 30 | |
| 4 | 2016 | 45 | |
| 5 | 2016 | 63 | |
| 6 | 2011 | 4 | |
| 7 | 2009 | 52 | |
| 8 | 2006 | 235 | |
| 9 | 2005 | 193 | |
| 10 | 2000 | 218 | |
| 11 | 2000 | 118 | |
| 12 | 1998 | 89 | |
| 13 | 1998 | 113 | |
| 14 | 1997 | 20 | |
| 15 | 1996 | 132 | |
| 16 | 1996 | 159 | |
| 17 | Allelic Exchange inMycobacterium tuberculosiswith Long Linear Recombination Substrates | 1996 | 4 |
| 18 | 1995 | 178 | |
| 19 | 1994 | 53 |
About Torin R. Weisbrod
Torin R. Weisbrod is a scholar working on Molecular Medicine, Infectious Diseases and Endocrinology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (16 papers), Antibiotic Resistance in Bacteria (6 papers), Bacteriophages and microbial interactions (4 papers), Cancer therapeutics and mechanisms (3 papers), Escherichia coli research studies (2 papers), Biochemical and Molecular Research (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Molecular Medicine (368 citations), Infectious Diseases (1.4k citations) and Epidemiology (1.1k citations). Torin R. Weisbrod has collaborated with scholars based in United States, France and South Africa. Frequent co-authors include William R. Jacobs, Catherine Vilchèze, David Alland, James C. Sacchettini, Barry R. Bloom, Laurent Kremer, Manzour Hernando Hazbón, Jeffrey D. Cirillo, Ruth A. McAdam and Jean Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Bacteriology.
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.