Brian Fulp
Impact in
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- Lymphatic System and Diseases
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 4
- Cholesterol and Lipid Metabolism 3
- Lipoproteins and Cardiovascular Health 2
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- Peroxisome Proliferator-Activated Receptors 2
- Glycosylation and Glycoproteins Research 1
- Protein Structure and Dynamics 1
- Co-authors
- Mary G. Sorci‐Thomas (6 shared papers)Michael J. Thomas (6 shared papers)Catherine Martel (1 shared paper)Robert Bittman (1 shared paper)Daniel Kreisel (1 shared paper)Emmanuel L. Gautier (1 shared paper)Alan R. Tall (1 shared paper)Gwendalyn J. Randolph (1 shared paper)
- Journals
- Biochemistry (2 papers)Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)Journal of the American Heart Association (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Brian Fulp
7 papers receiving 482 citations
Peers
Comparison fields: 5 of 62
- Oncology 181
- Endocrinology, Diabetes and Metabolism 85
- Surgery 175
- Immunology 78
- Cancer Research 52
Countries citing papers authored by Brian Fulp
This map shows the geographic impact of Brian Fulp'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 Fulp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Fulp more than expected).
Fields of papers citing papers by Brian Fulp
This network shows the impact of papers produced by Brian Fulp. 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 Fulp. The network helps show where Brian Fulp may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Fulp, 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 | 2013 | 264 | |
| 2 | 2012 | 105 | |
| 3 | 2015 | 30 | |
| 4 | 2015 | 28 | |
| 5 | 2013 | 28 | |
| 6 | 2016 | 18 | |
| 7 | 2016 | 16 |
About Brian Fulp
Brian Fulp is a scholar working on Surgery, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 489 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Glycosylation and Glycoproteins Research (1 paper), Protein Structure and Dynamics (1 paper), Enzyme Structure and Function (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Oncology (181 citations), Endocrinology, Diabetes and Metabolism (85 citations), Surgery (175 citations), Immunology (78 citations) and Cancer Research (52 citations). Brian Fulp has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Mary G. Sorci‐Thomas, Michael J. Thomas, Catherine Martel, Robert Bittman, Daniel Kreisel, Emmanuel L. Gautier, Alan R. Tall, Gwendalyn J. Randolph, Shu‐Hsia Chen and Marit Westerterp. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Lipid Research, Journal of the American Heart Association and Journal of Clinical Investigation.
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.