Brian L. Knight

4.8k total citations
129 papers, 4.0k citations indexed

About

Brian L. Knight is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Brian L. Knight has authored 129 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Surgery, 47 papers in Molecular Biology and 32 papers in Cancer Research. Recurrent topics in Brian L. Knight's work include Lipoproteins and Cardiovascular Health (45 papers), Cholesterol and Lipid Metabolism (25 papers) and Adipose Tissue and Metabolism (21 papers). Brian L. Knight is often cited by papers focused on Lipoproteins and Cardiovascular Health (45 papers), Cholesterol and Lipid Metabolism (25 papers) and Adipose Tissue and Metabolism (21 papers). Brian L. Knight collaborates with scholars based in United Kingdom, United States and Canada. Brian L. Knight's co-authors include Anne K. Soutar, Dilip D. Patel, David P. Wade, Geoffrey F. Gibbons, David Wiggins, D. Patel, Xi‐Ming Sun, Mary Seed, Josef P. Skála and A. Procházka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Brian L. Knight

128 papers receiving 3.8k citations

Peers

Brian L. Knight
Joy S. Frank United States
Anath Shalev United States
Akio Noma Japan
Päivi Pajukanta United States
Harald Funke Germany
Brian L. Knight
Citations per year, relative to Brian L. Knight Brian L. Knight (= 1×) peers Hiroaki Suzuki

Countries citing papers authored by Brian L. Knight

Since Specialization
Citations

This map shows the geographic impact of Brian L. Knight'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 L. Knight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian L. Knight more than expected).

Fields of papers citing papers by Brian L. Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian L. Knight. 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 L. Knight. The network helps show where Brian L. Knight may publish in the future.

Co-authorship network of co-authors of Brian L. Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Brian L. Knight. A scholar is included among the top collaborators of Brian L. Knight based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian L. Knight. Brian L. Knight is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Halsey, Charles, Julie Boisclair, Sripad Ram, et al.. (2025). Digital Pathology and Artificial Intelligence Applied to Nonclinical Toxicology Pathology—The Current State, Challenges, and Future Directions. Toxicologic Pathology. 53(6). 516–535. 1 indexed citations
2.
Chang, Leon, Brian L. Knight, Jocelyn Sendecki, et al.. (2024). P626 JNJ-77242113, an oral peptide selectively targeting the IL-23 receptor, demonstrates pharmacodynamic activity in rat and human colon tissue explants following oral dosing. Journal of Crohn s and Colitis. 18(Supplement_1). i1193–i1193. 2 indexed citations
3.
Phillips, Jonathan A., Mitchell E. Taub, Matthew S. Bogdanffy, et al.. (2022). Mode of action and human relevance assessment of male CD‐1 mouse renal adenocarcinoma associated with lifetime exposure to empagliflozin. Journal of Applied Toxicology. 42(10). 1570–1584. 5 indexed citations
4.
Turner, Oliver C., et al.. (2021). Mini Review: The Last Mile—Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology. Toxicologic Pathology. 49(4). 714–719. 8 indexed citations
6.
Brown, Alan, et al.. (2016). Graphical display of histopathology data from toxicology studies for drug discovery and development: An industry perspective. Regulatory Toxicology and Pharmacology. 82. 167–172. 4 indexed citations
7.
Redwine, Laura, Brook L. Henry, Meredith A. Pung, et al.. (2016). Pilot Randomized Study of a Gratitude Journaling Intervention on Heart Rate Variability and Inflammatory Biomarkers in Patients With Stage B Heart Failure. Psychosomatic Medicine. 78(6). 667–676. 76 indexed citations
8.
Lee, Elizabeth, Hermineh Aramin, Navaid Iqbal, et al.. (2015). New Targets in the Drug Treatment of Heart Failure. Drugs. 76(2). 187–201. 2 indexed citations
9.
Cui, Yuxia, Qihong Huang, J. Todd Auman, et al.. (2011). Genomic-Derived Markers for Early Detection of Calcineurin Inhibitor Immunosuppressant–Mediated Nephrotoxicity. Toxicological Sciences. 124(1). 23–34. 16 indexed citations
10.
Knight, Brian L., et al.. (2006). Deconvoluting the effects of P-glycoprotein on intestinal CYP3A: a major challenge. Current Opinion in Pharmacology. 6(5). 528–532. 23 indexed citations
11.
Knight, Brian L., et al.. (2005). Deficiency of PPARα disturbs the response of lipogenic flux and of lipogenic and cholesterogenic gene expression to dietary cholesterol in mouse white adipose tissue. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1734(3). 259–268. 13 indexed citations
12.
Knight, Brian L., Dilip D. Patel, Sandy M. Humphreys, David Wiggins, & Geoffrey F. Gibbons. (2003). Inhibition of cholesterol absorption associated with a PPARα-dependent increase in ABC binding cassette transporter A1 in mice. Journal of Lipid Research. 44(11). 2049–2058. 61 indexed citations
13.
Naoumova, R.P., D. Patel, F.H. O’Neill, G. R. Thompson, & Brian L. Knight. (2003). Treatment with atorvastatin alters interleukin‐12 and ‐10 gene expression. European Journal of Clinical Investigation. 33(1). 88–91. 7 indexed citations
14.
Gibbons, Geoffrey F., Dilip Patel, David Wiggins, & Brian L. Knight. (2002). The functional efficiency of lipogenic and cholesterogenic gene expression in normal mice and in mice lacking the peroxisomal proliferator-activated receptor–alpha (PPAR–α). Advances in Enzyme Regulation. 42. 227–247. 21 indexed citations
15.
Patel, Dilip D., Anne K. Soutar, & Brian L. Knight. (1995). Abnormal structure and co-operative binding of low-density lipoprotein receptors containing the Glu-80 → Lys mutation. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1255(3). 285–292. 5 indexed citations
16.
Morin, Dawn E., et al.. (1994). Degenerative myeloencephalopathy in two llamas. Journal of the American Veterinary Medical Association. 204(6). 938–943. 10 indexed citations
17.
Knight, Brian L., et al.. (1991). Catabolism of lipoprotein(a) in familial hypercholesterolaemic subjects. Atherosclerosis. 87(2-3). 227–237. 90 indexed citations
18.
Soutar, Anne K. & Brian L. Knight. (1990). Structure and regulation of the LDL- receptor and its gene. British Medical Bulletin. 46(4). 891–916. 35 indexed citations
19.
Knight, Brian L., Sean J. P. GAVIGAN, Anne K. Soutar, & Dilip D. Patel. (1989). Defective processing and binding of low‐density lipoprotein receptors in fibroblasts from a familial hypercholesterolaemic subject. European Journal of Biochemistry. 179(3). 693–698. 19 indexed citations
20.
GAVIGAN, Sean J. P. & Brian L. Knight. (1981). Catabolism of low-density lipoprotein by fibroblasts cultured in medium supplemented with saturated or unsaturated free fatty acids. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 665(3). 632–635. 34 indexed citations

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.

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