Brian Luna
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
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- Antibiotic Resistance in Bacteria 23
-
- Vibrio bacteria research studies 8
- Escherichia coli research studies 5
- Co-authors
- Brad Spellberg (32 shared papers)Travis B. Nielsen (18 shared papers)Robert A. Bonomo (10 shared papers)Paul Pantapalangkoor (7 shared papers)Darren Wong (1 shared paper)Jun Yan (25 shared papers)William R. Bishai (9 shared papers)Sanjay K. Jain (8 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (9 papers)mSphere (5 papers)The Journal of Infectious Diseases (5 papers)PLoS ONE (5 papers)Journal of Visualized Experiments (4 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Brian Luna
45 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Medicine 1.0k
- Endocrinology 484
- Applied Microbiology and Biotechnology 139
- Microbiology 128
- Pollution 182
Countries citing papers authored by Brian Luna
This map shows the geographic impact of Brian Luna'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 Brian Luna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Luna more than expected).
Fields of papers citing papers by Brian Luna
This network shows the impact of papers produced by Brian Luna. 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 Brian Luna. The network helps show where Brian Luna may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Luna, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and Pathophysiological Overview of Acinetobacter Infections: a Century of Challenges Hit paper breakdown → | 2017 | 828 |
| 2 | 2021 | 72 | |
| 3 | 2017 | 72 | |
| 4 | 2021 | 71 | |
| 5 | 2012 | 57 | |
| 6 | 2020 | 56 | |
| 7 | 2020 | 53 | |
| 8 | 2014 | 50 | |
| 9 | 2017 | 48 | |
| 10 | 2018 | 40 | |
| 11 | 2018 | 33 | |
| 12 | 2019 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2013 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2023 | 22 | |
| 19 | 2018 | 22 | |
| 20 | 2013 | 19 |
About Brian Luna
Brian Luna is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (23 papers), Vibrio bacteria research studies (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Tuberculosis Research and Epidemiology (6 papers), Escherichia coli research studies (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Endocrinology (484 citations), Applied Microbiology and Biotechnology (139 citations), Microbiology (128 citations) and Pollution (182 citations). Brian Luna has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Brad Spellberg, Travis B. Nielsen, Robert A. Bonomo, Paul Pantapalangkoor, Darren Wong, Jun Yan, William R. Bishai, Sanjay K. Jain, Ulaş Bağcı and Daniel J. Mollura. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, mSphere, The Journal of Infectious Diseases, PLoS ONE and Journal of Visualized Experiments.
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.