Mark Biagi
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Antibiotic Resistance in Bacteria 14
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- HIV/AIDS Research and Interventions 3
- HIV/AIDS drug development and treatment 3
- Co-authors
- Eric Wenzler (15 shared papers)David A. Butler (6 shared papers)Shitalben Patel (5 shared papers)Migyung Lee (2 shared papers)Larry H. Danziger (3 shared papers)Rodrigo E. Mendes (4 shared papers)Xing Tan (3 shared papers)Zackery P. Bulman (3 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (5 papers)Open Forum Infectious Diseases (4 papers)International Journal of STD & AIDS (3 papers)Diagnostic Microbiology and Infectious Disease (2 papers)Microbiology Spectrum (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Mark Biagi
27 papers receiving 560 citations
Peers
Comparison fields: 5 of 68
- Molecular Medicine 280
- Applied Microbiology and Biotechnology 95
- Endocrinology 136
- Pharmacology 151
- Infectious Diseases 129
Countries citing papers authored by Mark Biagi
This map shows the geographic impact of Mark Biagi'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 Mark Biagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Biagi more than expected).
Fields of papers citing papers by Mark Biagi
This network shows the impact of papers produced by Mark Biagi. 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 Mark Biagi. The network helps show where Mark Biagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Biagi, 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 | 2019 | 89 | |
| 2 | 2019 | 88 | |
| 3 | 2019 | 57 | |
| 4 | 2020 | 50 | |
| 5 | 2019 | 47 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 36 | |
| 8 | 2021 | 27 | |
| 9 | 2019 | 19 | |
| 10 | 2018 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2019 | 8 | |
| 17 | 1980 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 1983 | 3 |
About Mark Biagi
Mark Biagi is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Endocrinology and Molecular Biology, having authored 30 papers that have together received 576 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Infections and bacterial resistance (4 papers), Antibiotic Use and Resistance (4 papers), Vibrio bacteria research studies (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV/AIDS drug development and treatment (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (280 citations), Applied Microbiology and Biotechnology (95 citations), Endocrinology (136 citations), Pharmacology (151 citations) and Infectious Diseases (129 citations). Mark Biagi has collaborated with scholars based in United States and Japan. Frequent co-authors include Eric Wenzler, David A. Butler, Shitalben Patel, Migyung Lee, Larry H. Danziger, Rodrigo E. Mendes, Xing Tan, Zackery P. Bulman, Susan C Bleasdale and Nathan P. Wiederhold. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Open Forum Infectious Diseases, International Journal of STD & AIDS, Diagnostic Microbiology and Infectious Disease and Microbiology Spectrum.
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.