Brian D. Green

5.0k total citations
127 papers, 3.9k citations indexed

About

Brian D. Green is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian D. Green has authored 127 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 51 papers in Endocrinology, Diabetes and Metabolism and 31 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian D. Green's work include Diabetes Treatment and Management (44 papers), Neuropeptides and Animal Physiology (25 papers) and Pancreatic function and diabetes (22 papers). Brian D. Green is often cited by papers focused on Diabetes Treatment and Management (44 papers), Neuropeptides and Animal Physiology (25 papers) and Pancreatic function and diabetes (22 papers). Brian D. Green collaborates with scholars based in United Kingdom, United States and Ireland. Brian D. Green's co-authors include Peter R. Flatt, Clifford J. Bailey, Stewart F. Graham, Nigel Irwin, David Grieve, Finbarr O’Harte, Christopher T. Elliott, Victor A. Gault, Christian Hölscher and Roslyn Cassidy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Brian D. Green

127 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian D. Green United Kingdom 35 1.8k 1.5k 820 693 621 127 3.9k
Ernest Adeghate United Arab Emirates 42 1.7k 1.0× 1.7k 1.1× 1.0k 1.2× 1.3k 1.8× 501 0.8× 259 6.1k
Yasser H.A. Abdel‐Wahab United Kingdom 36 1.4k 0.8× 1.7k 1.2× 819 1.0× 307 0.4× 648 1.0× 132 3.9k
Virgı́nia S. Lemos Brazil 34 1.8k 1.0× 1.1k 0.8× 507 0.6× 841 1.2× 322 0.5× 129 4.6k
Dongmin Liu United States 47 2.2k 1.2× 2.3k 1.6× 990 1.2× 1.1k 1.6× 185 0.3× 113 6.9k
Yin Liang China 40 2.5k 1.4× 1.5k 1.0× 2.1k 2.5× 993 1.4× 343 0.6× 160 5.5k
Richard Head Australia 37 1.5k 0.8× 432 0.3× 430 0.5× 1.1k 1.6× 606 1.0× 171 4.8k
Tomasz Szkudelski Poland 27 1.3k 0.7× 2.1k 1.4× 723 0.9× 1.3k 1.9× 155 0.2× 84 5.2k
Juan C. Laguna Spain 43 2.5k 1.4× 1.2k 0.8× 892 1.1× 1.8k 2.7× 310 0.5× 157 5.8k
K. K. Srinivasan India 24 1.2k 0.7× 1.4k 1.0× 481 0.6× 729 1.1× 192 0.3× 64 4.4k
Yinhua Ni China 35 1.7k 1.0× 873 0.6× 493 0.6× 1.1k 1.6× 120 0.2× 79 4.3k

Countries citing papers authored by Brian D. Green

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian D. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Green. A scholar is included among the top collaborators of Brian D. Green 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 D. Green. Brian D. Green 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.
Yu, Cheng‐Ping, C. C. Chen, Chun‐Tang Chiou, et al.. (2024). Evaluating the antiviral efficacy and specificity of chlorogenic acid and related herbal extracts against SARS-CoV-2 variants via spike protein binding intervention. Journal of Traditional and Complementary Medicine. 15(7). 782–793. 1 indexed citations
2.
Pan, Xiaobei, Paul C. Donaghy, Gemma Roberts, et al.. (2024). Plasma metabolites distinguish dementia with Lewy bodies from Alzheimer’s disease: a cross-sectional metabolomic analysis. Frontiers in Aging Neuroscience. 15. 1326780–1326780. 3 indexed citations
3.
Vishweswaraiah, Sangeetha, Ali Yılmaz, Xiaobei Pan, et al.. (2023). Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue. Genes. 14(9). 1752–1752. 2 indexed citations
4.
Hung, Shr-Hau, Gregory I. Elliott, Dirk Iwata‐Reuyl, et al.. (2023). Structural basis of Qng1-mediated salvage of the micronutrient queuine from queuosine-5′-monophosphate as the biological substrate. Nucleic Acids Research. 51(2). 935–951. 17 indexed citations
5.
Shao, Xiaojian, Sangeetha Vishweswaraiah, Miroslava Čuperlović‐Culf, et al.. (2022). Dementia with Lewy bodies post-mortem brains reveal differentially methylated CpG sites with biomarker potential. Communications Biology. 5(1). 1279–1279. 2 indexed citations
6.
Green, Brian D., et al.. (2022). Can sprouting reduce phytate and improve the nutritional composition and nutrient bioaccessibility in cereals and legumes?. Nutrition Bulletin. 47(2). 138–156. 32 indexed citations
7.
Crowe, William, et al.. (2022). Dietary inclusion of nitrite-containing frankfurter exacerbates colorectal cancer pathology and alters metabolism in APCmin mice. npj Science of Food. 6(1). 60–60. 16 indexed citations
8.
Akyol, Sümeyya, Zafer Ugur, Ali Yılmaz, et al.. (2021). Lipid Profiling of Alzheimer’s Disease Brain Highlights Enrichment in Glycerol(phospho)lipid, and Sphingolipid Metabolism. Cells. 10(10). 2591–2591. 82 indexed citations
9.
Pan, Xiaobei, Emma Cunningham, Anthony Peter Passmore, et al.. (2019). Cerebrospinal Fluid Spermidine, Glutamine and Putrescine Predict Postoperative Delirium Following Elective Orthopaedic Surgery. Scientific Reports. 9(1). 4191–4191. 20 indexed citations
10.
Xia, Qiang, Brian D. Green, Zhenzhou Zhu, et al.. (2018). Innovative processing techniques for altering the physicochemical properties of wholegrain brown rice (Oryza sativaL.) – opportunities for enhancing food quality and health attributes. Critical Reviews in Food Science and Nutrition. 59(20). 3349–3370. 57 indexed citations
11.
Graham, Stewart F., Xiaobei Pan, Ali Yılmaz, et al.. (2018). Targeted biochemical profiling of brain from Huntington's disease patients reveals novel metabolic pathways of interest. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(7). 2430–2437. 26 indexed citations
12.
Graham, Stewart F., Praveen Kumar, Trent C. Bjorndahl, et al.. (2016). Metabolic signatures of Huntington's disease (HD): 1 H NMR analysis of the polar metabolome in post-mortem human brain. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1675–1684. 40 indexed citations
13.
Robinson, Emma, Mitchel Tate, Sam Lockhart, et al.. (2016). Metabolically-inactive glucagon-like peptide-1(9–36)amide confers selective protective actions against post-myocardial infarction remodelling. Cardiovascular Diabetology. 15(1). 65–65. 30 indexed citations
14.
Tate, Mitchel, Emma Robinson, Brian D. Green, Barbara J. McDermott, & David Grieve. (2015). Exendin-4 attenuates adverse cardiac remodelling in streptozocin-induced diabetes via specific actions on infiltrating macrophages. Basic Research in Cardiology. 111(1). 1–1. 87 indexed citations
15.
Graham, Stewart F., Olivier Chevallier, Christopher T. Elliott, et al.. (2015). Untargeted Metabolomic Analysis of Human Plasma Indicates Differentially Affected Polyamine and L-Arginine Metabolism in Mild Cognitive Impairment Subjects Converting to Alzheimer’s Disease. PLoS ONE. 10(3). e0119452–e0119452. 137 indexed citations
16.
Giblin, Linda, et al.. (2012). Hormone profiling in a novel enteroendocrine cell line pGIP/neo: STC-1. Metabolism. 61(12). 1683–1686. 13 indexed citations
17.
Green, Brian D., Clifford J. Bailey, & Peter R. Flatt. (2010). Gliptin Therapies for Inhibiting Dipeptidyl Peptidase-4 in Type 2 Diabetes. touchREVIEWS in Endocrinology. 6(2). 19–19. 2 indexed citations
18.
O’Halloran, Fiona, et al.. (2010). Acute and chronic effects of dietary fatty acids on cholecystokinin expression, storage and secretion in enteroendocrine STC‐1 cells. Molecular Nutrition & Food Research. 54(S1). S93–S103. 31 indexed citations
19.
Green, Brian D., Nigel Irwin, & Peter R. Flatt. (2009). Metabolic responses of obestatin peptides in normal and high-fat fed mice.. Amino Acids. 37. 1 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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