Bartley Brown
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in ⓘ
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- Vibrio bacteria research studies 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
- Co-authors
- Thomas L. Casavant (6 shared papers)Marcelo B. Soares (3 shared papers)Hakeem Almabrazi (3 shared papers)Margaret McFall‐Ngai (2 shared papers)Todd E. Scheetz (4 shared papers)Maria de Fátima Bonaldo (3 shared papers)И. А. Королева (2 shared papers)Edward G. Ruby (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)Molecular Cancer Research (1 paper)Journal of Bioinformatics and Computational Biology (1 paper)Magnetic Resonance Imaging (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Bartley Brown
13 papers receiving 340 citations
Peers
Comparison fields: 5 of 89
- Endocrinology 80
- Health Informatics 9
- Aging 6
- Radiology, Nuclear Medicine and Imaging 70
- Ecology, Evolution, Behavior and Systematics 56
Countries citing papers authored by Bartley Brown
This map shows the geographic impact of Bartley Brown'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 Bartley Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bartley Brown more than expected).
Fields of papers citing papers by Bartley Brown
This network shows the impact of papers produced by Bartley Brown. 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 Bartley Brown. The network helps show where Bartley Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Bartley Brown, 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 | 2010 | 134 | |
| 2 | 2008 | 73 | |
| 3 | 2016 | 57 | |
| 4 | 2017 | 18 | |
| 5 | 2019 | 17 | |
| 6 | 2019 | 13 | |
| 7 | 2012 | 13 | |
| 8 | 2021 | 7 | |
| 9 | Urinothorax: a rare cause of pleural effusion. | 2012 | 7 |
| 10 | 2004 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2007 | 1 | |
| 13 | 2024 | 1 |
About Bartley Brown
Bartley Brown is a scholar working on Endocrinology, Radiology, Nuclear Medicine and Imaging, Information Systems and Management, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Cephalopods and Marine Biology (2 papers), Medical Imaging Techniques and Applications (2 papers), Advanced X-ray and CT Imaging (2 papers), Vibrio bacteria research studies (2 papers), Neuroblastoma Research and Treatments (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Medical Imaging and Pathology Studies (1 paper). The work is most often cited by research in Endocrinology (80 citations), Health Informatics (9 citations), Aging (6 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Ecology, Evolution, Behavior and Systematics (56 citations). Bartley Brown has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Thomas L. Casavant, Marcelo B. Soares, Hakeem Almabrazi, Margaret McFall‐Ngai, Todd E. Scheetz, Maria de Fátima Bonaldo, И. А. Королева, Edward G. Ruby, John E. Cronan and Jennifer L. Reed. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Molecular Cancer Research, Journal of Bioinformatics and Computational Biology and Magnetic Resonance Imaging.
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.