Vincent J. LaBombardi
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 12
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- Antibiotic Use and Resistance 4
- Endocrinology top 2%
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 10
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 15
- Antimicrobial Resistance in Staphylococcus 5
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- Mycobacterium research and diagnosis 15
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- Infectious Diseases and Tuberculosis 7
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- Antibiotics Pharmacokinetics and Efficacy 6
Vincent J. LaBombardi
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 417
- Applied Microbiology and Biotechnology 145
- Endocrinology 175
- Clinical Biochemistry 203
- Infectious Diseases 389
Countries citing papers authored by Vincent J. LaBombardi
This map shows the geographic impact of Vincent J. LaBombardi'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 Vincent J. LaBombardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent J. LaBombardi more than expected).
Fields of papers citing papers by Vincent J. LaBombardi
This network shows the impact of papers produced by Vincent J. LaBombardi. 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 Vincent J. LaBombardi. The network helps show where Vincent J. LaBombardi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincent J. LaBombardi, 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 | 2020 | 17 | |
| 2 | 2020 | 3 | |
| 3 | 2016 | 30 | |
| 4 | 2013 | 67 | |
| 5 | 2013 | 17 | |
| 6 | No circulating cytomegalovirus in five patients with glioblastoma multiforme. | 2011 | 15 |
| 7 | 2009 | 2 | |
| 8 | 2009 | 9 | |
| 9 | 2009 | 46 | |
| 10 | 2006 | 10 | |
| 11 | 2006 | 20 | |
| 12 | 2002 | 22 | |
| 13 | 2001 | 29 | |
| 14 | 2001 | 1 | |
| 15 | 2000 | 3 | |
| 16 | 1999 | 20 | |
| 17 | 1998 | 4 | |
| 18 | 1996 | 13 | |
| 19 | 1994 | 35 | |
| 20 | 1982 | 4 |
About Vincent J. LaBombardi
Vincent J. LaBombardi is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (15 papers), Tuberculosis Research and Epidemiology (15 papers), Antibiotic Resistance in Bacteria (12 papers), Bacterial Identification and Susceptibility Testing (10 papers), Infectious Diseases and Tuberculosis (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Antibiotic Use and Resistance (4 papers). The work is most often cited by research in Molecular Medicine (417 citations), Applied Microbiology and Biotechnology (145 citations) and Endocrinology (175 citations). Vincent J. LaBombardi has collaborated with scholars based in United States, Czechia and Spain. Frequent co-authors include Mayssa Abuali, Didier Ledoux, Jay Ward Kislak, Gopi Patel, David P. Calfee, David Banach, Arjun Srinivasan, Mahesh Swaminathan, Karen Anderson and Sarit Sharma. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal 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.