Mark Mooney

2.4k total citations
58 papers, 1.9k citations indexed

About

Mark Mooney is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Mark Mooney has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Molecular Biology and 16 papers in Animal Science and Zoology. Recurrent topics in Mark Mooney's work include Hormonal and reproductive studies (11 papers), Diabetes Treatment and Management (11 papers) and Meat and Animal Product Quality (8 papers). Mark Mooney is often cited by papers focused on Hormonal and reproductive studies (11 papers), Diabetes Treatment and Management (11 papers) and Meat and Animal Product Quality (8 papers). Mark Mooney collaborates with scholars based in United Kingdom, Ireland and Netherlands. Mark Mooney's co-authors include Christopher T. Elliott, William E. Sonntag, Alicja L. Markowska, Finbarr O’Harte, Peter R. Flatt, Chen Situ, Jos Buijs, Bruno Le Bizec, Victor A. Gault and Patrick Harriott and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Science & Technology and Applied Physics Letters.

In The Last Decade

Mark Mooney

58 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Mooney United Kingdom 24 743 674 237 235 217 58 1.9k
Gwendolyn Barceló‐Coblijn Spain 28 1.5k 2.0× 140 0.2× 215 0.9× 106 0.5× 280 1.3× 54 3.4k
Tag E. Mansour United States 32 1.4k 1.9× 335 0.5× 226 1.0× 108 0.5× 284 1.3× 118 3.5k
ROGER A. CLEGG United Kingdom 25 830 1.1× 244 0.4× 171 0.7× 53 0.2× 71 0.3× 112 2.2k
In‐Young Choi South Korea 29 691 0.9× 101 0.1× 122 0.5× 74 0.3× 502 2.3× 188 3.0k
Jin Hyup Lee South Korea 32 1.2k 1.6× 156 0.2× 71 0.3× 57 0.2× 114 0.5× 100 2.8k
Tomohiro Araki Japan 29 1.3k 1.7× 353 0.5× 45 0.2× 42 0.2× 367 1.7× 130 2.8k
John A. Johnson United States 33 1.7k 2.3× 139 0.2× 82 0.3× 105 0.4× 359 1.7× 120 3.3k
Takeo Wada Japan 29 1.2k 1.6× 487 0.7× 138 0.6× 73 0.3× 320 1.5× 126 3.6k
Henrique Cheng United States 23 605 0.8× 179 0.3× 37 0.2× 59 0.3× 153 0.7× 55 1.8k
Shinji Yamashita Japan 25 661 0.9× 77 0.1× 65 0.3× 156 0.7× 203 0.9× 95 1.8k

Countries citing papers authored by Mark Mooney

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mooney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Mooney

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Mooney. A scholar is included among the top collaborators of Mark Mooney 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 Mark Mooney. Mark Mooney 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.
2.
Mooney, Mark, et al.. (2023). Genome analyses of species A rotavirus isolated from various mammalian hosts in Northern Ireland during 2013−2016. Virus Evolution. 9(2). vead039–vead039. 2 indexed citations
3.
Buckley, Tom, et al.. (2020). Investigation of stability of selective androgen receptor modulators in urine. Food Additives & Contaminants Part A. 37(8). 1253–1263. 8 indexed citations
4.
Botrè, Francesco, et al.. (2020). Enhanced UHPLC-MS/MS screening of selective androgen receptor modulators following urine hydrolysis. MethodsX. 7. 100926–100926. 14 indexed citations
5.
Wielogórska, Ewa, Mark Mooney, Mari Eskola, et al.. (2019). Occurrence and Human-Health Impacts of Mycotoxins in Somalia. Journal of Agricultural and Food Chemistry. 67(7). 2052–2060. 55 indexed citations
6.
Ellis, John A., et al.. (2019). Profiling of local disease-sparing responses to bovine respiratory syncytial virus in intranasally vaccinated and challenged calves. Journal of Proteomics. 204. 103397–103397. 4 indexed citations
7.
Welsh, Michael D., et al.. (2018). DIVA metabolomics: Differentiating vaccination status following viral challenge using metabolomic profiles. PLoS ONE. 13(4). e0194488–e0194488. 3 indexed citations
8.
Mooney, Mark, et al.. (2016). Impact of storage conditions on the urinary metabolomics fingerprint. Analytica Chimica Acta. 951. 99–107. 43 indexed citations
9.
Tarasov, Alexey, et al.. (2015). A potentiometric biosensor for rapid on-site disease diagnostics. Biosensors and Bioelectronics. 79. 669–678. 79 indexed citations
10.
Elliott, Christopher T., et al.. (2015). Proteomic identification of plasma proteins as markers of growth promoter abuse in cattle. Analytical and Bioanalytical Chemistry. 407(15). 4495–4507. 16 indexed citations
11.
Pauw, Edwin De, Philippe Delahaut, Jos Buijs, et al.. (2012). Effect-based proteomic detection of growth promoter abuse. Analytical and Bioanalytical Chemistry. 405(4). 1171–1179. 12 indexed citations
12.
Campbell, Katrina, Terry McGrath, Östen Jansson, et al.. (2010). Use of a novel micro-fluidic device to create arrays for multiplex analysis of large and small molecular weight compounds by surface plasmon resonance. Biosensors and Bioelectronics. 26(6). 3029–3036. 37 indexed citations
13.
14.
Cacciatore, Giuseppe, Susanne Eisenberg, Chen Situ, et al.. (2008). Effect of growth-promoting 17β-estradiol, 19-nortestosterone and dexamethasone on circulating levels of nine potential biomarker candidates in veal calves. Analytica Chimica Acta. 637(1-2). 351–359. 39 indexed citations
15.
Mooney, Mark, Sarah Fogarty, Alison Gallagher, et al.. (2008). Mechanisms underlying the metabolic actions of galegine that contribute to weight loss in mice. British Journal of Pharmacology. 153(8). 1669–1677. 57 indexed citations
16.
Green, Brian D., Victor A. Gault, Mark Mooney, et al.. (2004). Degradation, receptor binding, insulin secreting and antihyperglycaemic actions of palmitate-derivatised native and Ala8-substituted GLP-1 analogues. Biological Chemistry. 385(2). 169–77. 39 indexed citations
17.
Green, BD, Victor A. Gault, Nigel Irwin, et al.. (2003). Metabolic Stability, Receptor Binding, cAMP Generation, Insulin Secretion and Antihyperglycaemic Activity of Novel N-Terminal Glu9-Substituted Analogues of Glucagon-Like Peptide-1. Biological Chemistry. 384(12). 1543–51. 23 indexed citations
18.
O’Harte, Finbarr, Victor A. Gault, Jeremy C. Parker, et al.. (2002). Improved stability, insulin-releasing activity and antidiabetic potential of two novel N-terminal analogues of gastric inhibitory polypeptide: N-acetyl-GIP and pGlu-GIP. Diabetologia. 45(9). 1281–1291. 58 indexed citations
19.
Abdel‐Wahab, Yasser H.A., Finbarr O’Harte, Mark Mooney, J. Michael Conlon, & Peter R. Flatt. (1999). N-terminal glycation of cholecystokinin-8 abolishes its insulinotropic action on clonal pancreatic B-cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1452(1). 60–67. 13 indexed citations
20.
Markowska, Alicja L., Mark Mooney, & William E. Sonntag. (1998). Insulin-like growth factor-1 ameliorates age-related behavioral deficits. Neuroscience. 87(3). 559–569. 226 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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