Craig Beall

1.5k total citations · 1 hit paper
31 papers, 977 citations indexed

About

Craig Beall is a scholar working on Surgery, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Craig Beall has authored 31 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 12 papers in Molecular Biology and 10 papers in Endocrine and Autonomic Systems. Recurrent topics in Craig Beall's work include Pancreatic function and diabetes (18 papers), Regulation of Appetite and Obesity (10 papers) and Metabolism, Diabetes, and Cancer (10 papers). Craig Beall is often cited by papers focused on Pancreatic function and diabetes (18 papers), Regulation of Appetite and Obesity (10 papers) and Metabolism, Diabetes, and Cancer (10 papers). Craig Beall collaborates with scholars based in United Kingdom, France and United States. Craig Beall's co-authors include Kate L. J. Ellacott, Benoı̂t Viollet, Michael L.J. Ashford, Graham Rena, Amy Cameron, Mohapradeep Mohan, Calum Forteath, Chim C. Lang, Aaron Wong and Kei Sakamoto and has published in prestigious journals such as Circulation Research, Biochemical Journal and Neuroscience.

In The Last Decade

Craig Beall

31 papers receiving 963 citations

Hit Papers

Anti-Inflammatory Effects of Metformin Irrespective of Di... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig Beall United Kingdom 13 405 269 222 220 126 31 977
Abu Saleh Md Moin Bahrain 17 285 0.7× 372 1.4× 269 1.2× 178 0.8× 137 1.1× 71 1.0k
Joo Yun Jun United States 10 230 0.6× 101 0.4× 153 0.7× 138 0.6× 161 1.3× 15 946
Keizo Kaneko Japan 18 492 1.2× 544 2.0× 302 1.4× 503 2.3× 284 2.3× 37 1.8k
Emma S. Jones Australia 20 617 1.5× 112 0.4× 642 2.9× 161 0.7× 154 1.2× 28 1.8k
Chaoying Yan China 14 342 0.8× 141 0.5× 114 0.5× 100 0.5× 40 0.3× 40 817
Michael Koeppen Germany 18 500 1.2× 157 0.6× 31 0.1× 262 1.2× 151 1.2× 43 1.5k
Kechun Tang United States 20 707 1.7× 153 0.6× 79 0.4× 342 1.6× 33 0.3× 36 1.4k
Laurel A. Grisanti United States 23 704 1.7× 139 0.5× 94 0.4× 131 0.6× 34 0.3× 49 1.4k
Yūichi Murakawa United States 15 357 0.9× 173 0.6× 267 1.2× 679 3.1× 85 0.7× 20 1.2k
Rafiq A. Shahid United States 11 317 0.8× 308 1.1× 63 0.3× 322 1.5× 84 0.7× 16 961

Countries citing papers authored by Craig Beall

Since Specialization
Citations

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

Fields of papers citing papers by Craig Beall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig Beall. 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 Craig Beall. The network helps show where Craig Beall may publish in the future.

Co-authorship network of co-authors of Craig Beall

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Beall. A scholar is included among the top collaborators of Craig Beall 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 Craig Beall. Craig Beall 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.
Bamford, Rosemary A., et al.. (2024). Regulation of astrocyte metabolism by mitochondrial translocator protein 18 kDa. Journal of Neurochemistry. 168(7). 1374–1401. 3 indexed citations
2.
Zhang, Jiping, Ewan R. Pearson, David Carling, et al.. (2024). Hypoglycaemic stimulation of macrophage cytokine release is suppressed by AMP‐activated protein kinase activation. Diabetic Medicine. 42(3). e15456–e15456. 1 indexed citations
3.
Macdonald, Alastair, et al.. (2023). Impact of chemogenetic activation of dorsal vagal complex astrocytes in mice on adaptive glucoregulatory responses. Journal of Neuroendocrinology. 35(8). e13315–e13315. 2 indexed citations
4.
Forteath, Calum, Ify Mordi, Amy Cameron, et al.. (2023). Amino acid homeostasis is a target of metformin therapy. Molecular Metabolism. 74. 101750–101750. 5 indexed citations
5.
Macdonald, Alastair, et al.. (2021). Brain-Body Control of Glucose Homeostasis—Insights From Model Organisms. Frontiers in Endocrinology. 12. 662769–662769. 7 indexed citations
6.
Beall, Craig, et al.. (2021). Absence of the mitochondrial translocator protein 18 kDa in mice does not affect body weight or food intake responses to altered energy availability. Journal of Neuroendocrinology. 33(9). e13027–e13027. 3 indexed citations
7.
Jeffries, Aaron R., et al.. (2021). Attenuated Induction of the Unfolded Protein Response in Adult Human Primary Astrocytes in Response to Recurrent Low Glucose. Frontiers in Endocrinology. 12. 671724–671724. 3 indexed citations
9.
Chilton, John K., et al.. (2020). The metabolic response to inflammation in astrocytes is regulated by nuclear factor‐kappa B signaling. Glia. 68(11). 2246–2263. 43 indexed citations
11.
Beall, Craig, et al.. (2019). Immunometabolic Changes in Glia – A Potential Role in the Pathophysiology of Obesity and Diabetes. Neuroscience. 447. 167–181. 26 indexed citations
12.
Macdonald, Alastair, Fiona E. Holmes, Craig Beall, Anthony E. Pickering, & Kate L. J. Ellacott. (2019). Regulation of food intake by astrocytes in the brainstem dorsal vagal complex. Glia. 68(6). 1241–1254. 51 indexed citations
13.
Chilton, John K., et al.. (2018). Basal fatty acid oxidation increases after recurrent low glucose in human primary astrocytes. Diabetologia. 62(1). 187–198. 30 indexed citations
14.
Jeffery, Nicola, Sarah J. Richardson, Craig Beall, & Lorna W. Harries. (2017). The species origin of the cellular microenvironment influences markers of beta cell fate and function in EndoC-βH1 cells. Experimental Cell Research. 361(2). 284–291. 5 indexed citations
15.
Haythorne, Elizabeth, D. Lee Hamilton, John A. Findlay, et al.. (2016). Chronic exposure to KATP channel openers results in attenuated glucose sensing in hypothalamic GT1-7 neurons. Neuropharmacology. 111. 212–222. 6 indexed citations
16.
Cameron, Amy, Vicky L. Morrison, Daniel L. Levin, et al.. (2016). Anti-Inflammatory Effects of Metformin Irrespective of Diabetes Status. Circulation Research. 119(5). 652–665. 519 indexed citations breakdown →
17.
Hamilton, D. Lee, Craig Beall, Stewart Jeromson, et al.. (2013). Kv1.3 inhibitors have differential effects on glucose uptake and AMPK activity in skeletal muscle cell lines and mouse ex vivo skeletal muscle. The Journal of Physiological Sciences. 64(1). 13–20. 8 indexed citations
18.
Beall, Craig, Elizabeth Haythorne, Xiaoning Fan, et al.. (2013). Continuous hypothalamic KATP activation blunts glucose counter-regulation in vivo in rats and suppresses KATP conductance in vitro. Diabetologia. 56(9). 2088–2092. 3 indexed citations
19.
Beall, Craig, Kenneth R. Watterson, Rory J. McCrimmon, & Michael L.J. Ashford. (2013). AMPK modulates glucose-sensing in insulin-secreting cells by altered phosphotransfer to KATP channels. Journal of Bioenergetics and Biomembranes. 45(3). 229–241. 15 indexed citations
20.
Beall, Craig, D. Lee Hamilton, Jennifer Gallagher, et al.. (2012). Mouse hypothalamic GT1-7 cells demonstrate AMPK-dependent intrinsic glucose-sensing behaviour. Diabetologia. 55(9). 2432–2444. 45 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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