Andrew J. Bennett

5.9k total citations
129 papers, 4.6k citations indexed

About

Andrew J. Bennett is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Andrew J. Bennett has authored 129 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 31 papers in Physiology and 30 papers in Surgery. Recurrent topics in Andrew J. Bennett's work include Cannabis and Cannabinoid Research (14 papers), Peroxisome Proliferator-Activated Receptors (13 papers) and Diet and metabolism studies (10 papers). Andrew J. Bennett is often cited by papers focused on Cannabis and Cannabinoid Research (14 papers), Peroxisome Proliferator-Activated Receptors (13 papers) and Diet and metabolism studies (10 papers). Andrew J. Bennett collaborates with scholars based in United Kingdom, United States and Australia. Andrew J. Bennett's co-authors include David A. Kendall, S P H Alexander, Andrew M. Salter, Victoria Chapman, Yan Sun, David A. White, Kostas Tsintzas, Michael A. Billett, James J. Burston and Saoirse E. O’Sullivan and has published in prestigious journals such as Environmental Science & Technology, Gastroenterology and PLoS ONE.

In The Last Decade

Andrew J. Bennett

124 papers receiving 4.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew J. Bennett United Kingdom 43 1.2k 1.2k 1.0k 772 580 129 4.6k
Carlijn R. Hooijmans Netherlands 27 935 0.8× 411 0.3× 1.1k 1.1× 971 1.3× 403 0.7× 74 5.8k
Giovanni Lombardi Italy 45 1.5k 1.3× 404 0.3× 1.8k 1.8× 844 1.1× 579 1.0× 249 7.2k
Ming Chen China 34 1.7k 1.4× 410 0.3× 2.4k 2.3× 628 0.8× 391 0.7× 343 7.4k
Rita Rezzani Italy 48 1.8k 1.5× 456 0.4× 2.7k 2.6× 836 1.1× 405 0.7× 282 8.7k
Marcella Reale Italy 44 1.5k 1.3× 536 0.4× 1.9k 1.8× 427 0.6× 574 1.0× 230 7.1k
Elliot F. Ellis United States 42 1.7k 1.4× 654 0.5× 986 1.0× 494 0.6× 562 1.0× 130 5.8k
James W. Albers United States 49 1.9k 1.6× 726 0.6× 697 0.7× 1.2k 1.6× 1.9k 3.4× 154 8.3k
M. Kerry O’Banion United States 49 3.6k 3.0× 2.3k 1.9× 3.2k 3.1× 502 0.7× 1.6k 2.8× 146 11.8k

Countries citing papers authored by Andrew J. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Bennett. 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 Andrew J. Bennett. The network helps show where Andrew J. Bennett may publish in the future.

Co-authorship network of co-authors of Andrew J. Bennett

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Bennett. A scholar is included among the top collaborators of Andrew J. Bennett 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 Andrew J. Bennett. Andrew J. Bennett 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.
Smith, Alison, Dhanny Gomez, Preeti H. Jethwa, et al.. (2022). A Comparison of Primary Human Hepatocytes and Hepatoma Cell Lines to Model the Effects of Fatty Acids, Fructose and Glucose on Liver Cell Lipid Accumulation. Nutrients. 15(1). 40–40. 19 indexed citations
2.
Nwosu, L.N., David R. Wilson, R. Hill, et al.. (2018). Molecular expression patterns in the synovium and their association with advanced symptomatic knee osteoarthritis. Osteoarthritis and Cartilage. 27(4). 667–675. 25 indexed citations
3.
Tewari, Nilanjana, Sherif Awad, František Duška, et al.. (2018). Postoperative inflammation and insulin resistance in relation to body composition, adiposity and carbohydrate treatment: A randomised controlled study. Clinical Nutrition. 38(1). 204–212. 24 indexed citations
4.
Mapp, P.I., David R. Wilson, R. Hill, et al.. (2016). Gene expression patterns in the synovium and their association with symptomatic knee osteoarthritis. Osteoarthritis and Cartilage. 24. S28–S29. 2 indexed citations
5.
6.
Ashraf, Sadaf, P.I. Mapp, James J. Burston, et al.. (2013). Augmented pain behavioural responses to intra-articular injection of nerve growth factor in two animal models of osteoarthritis. Annals of the Rheumatic Diseases. 73(9). 1710–1718. 74 indexed citations
7.
Humes, David J., Klara Garsed, Ching Lam, et al.. (2012). OC-119 Mechanistic randomised control trial of mesalazine in symptomatic diverticular disease: Abstract OC-119 Table 1. Gut. 61(Suppl 2). A51.3–A52. 13 indexed citations
8.
Bennett, Andrew J., et al.. (2012). PWE-089 The roles of CYP2C40 and CYP2C55 in preventing colon cancer. Gut. 61(Suppl 2). A333.2–A333. 2 indexed citations
9.
Okine, Bright N., Stephen G. Woodhams, James J. Burston, et al.. (2012). Lack of effect of chronic pre‐treatment with the FAAH inhibitor URB597 on inflammatory pain behaviour: evidence for plastic changes in the endocannabinoid system. British Journal of Pharmacology. 167(3). 627–640. 52 indexed citations
10.
Bennett, Andrew J., et al.. (2011). Skeletal Muscle Metabolic Gene Expression Is Not Affected by Dichloroacetate-Mediated Modulation of Substrate Utilisation. Annals of Nutrition and Metabolism. 58(1). 19–24. 2 indexed citations
11.
Sagar, Devi Rani, Bright N. Okine, Stephen G. Woodhams, et al.. (2010). Tonic modulation of spinal hyperexcitability by the endocannabinoid receptor system in a rat model of osteoarthritis pain. Arthritis & Rheumatism. 62(12). 3666–3676. 102 indexed citations
12.
O’Sullivan, Saoirse E., Yan Sun, Andrew J. Bennett, Michael D. Randall, & David A. Kendall. (2009). Time-dependent vascular actions of cannabidiol in the rat aorta. European Journal of Pharmacology. 612(1-3). 61–68. 150 indexed citations
13.
14.
McGeary, Ross P., et al.. (2008). Suramin: Clinical Uses and Structure-Activity Relationships. Mini-Reviews in Medicinal Chemistry. 8(13). 1384–1394. 99 indexed citations
15.
16.
Langley‐Evans, Simon C., et al.. (2007). Prenatal exposure to undernutrition and programming of responses to high-fat feeding in the rat. British Journal Of Nutrition. 98(3). 517–524. 41 indexed citations
17.
Fombonne, Éric, et al.. (2006). Pervasive Developmental Disorders in Montreal, Quebec, Canada: Prevalence and Links With Immunizations. PEDIATRICS. 118(1). e139–e150. 250 indexed citations
18.
Tsintzas, Kostas, et al.. (2006). Differential regulation of metabolic genes in skeletal muscle during starvation and refeeding in humans. The Journal of Physiology. 575(1). 291–303. 85 indexed citations
19.
Schulz-Utermoehl, Timothy, Andrew J. Bennett, S. W. Ellis, et al.. (1999). Polymorphic debrisoquine 4-hydroxylase activity in the rat is due to differences in CYP2D2 expression. Pharmacogenetics. 9(3). 357–366. 45 indexed citations
20.
Tarnow, Peter, Jean Cassuto, Anders Jönsson, et al.. (1996). Effects ofd-myo-Inositol-1,2,6-trisphosphate on Eicosanoid Formation in Burned Skin. Journal of Surgical Research. 62(1). 1–4. 14 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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