Andrew A. Young

6.6k total citations · 1 hit paper
75 papers, 5.5k citations indexed

About

Andrew A. Young is a scholar working on Surgery, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Andrew A. Young has authored 75 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Surgery, 33 papers in Physiology and 28 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Andrew A. Young's work include Pancreatic function and diabetes (39 papers), Diabetes Treatment and Management (23 papers) and Neuropeptides and Animal Physiology (18 papers). Andrew A. Young is often cited by papers focused on Pancreatic function and diabetes (39 papers), Diabetes Treatment and Management (23 papers) and Neuropeptides and Animal Physiology (18 papers). Andrew A. Young collaborates with scholars based in United States, New Zealand and China. Andrew A. Young's co-authors include Bronislava Gedulin, T J Rink, David G. Parkes, Hannele Yki‐Järvinen, Loretta L. Nielsen, Clifton Bogardus, Stephen Lillioja, J Zawadzki, William G.H. Abbott and Carolyn M. Jodka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Andrew A. Young

73 papers receiving 5.0k citations

Hit Papers

Skeletal muscle capillary density and fiber type are poss... 1987 2026 2000 2013 1987 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew A. Young United States 39 2.5k 1.9k 1.8k 1.7k 915 75 5.5k
Doss W. Neal United States 37 2.3k 0.9× 2.1k 1.1× 1.2k 0.7× 1.5k 0.9× 584 0.6× 134 4.4k
Enrique Blázquez Spain 36 1.7k 0.7× 1.5k 0.8× 1.0k 0.6× 740 0.4× 882 1.0× 107 3.6k
Zhiming Zhu China 48 1.2k 0.5× 1.2k 0.6× 2.2k 1.2× 1.8k 1.1× 423 0.5× 265 7.2k
Christoph Buettner United States 38 1.3k 0.5× 835 0.4× 1.7k 1.0× 2.3k 1.3× 1.1k 1.2× 68 5.8k
Bernard Portha France 48 2.9k 1.2× 3.7k 2.0× 2.3k 1.3× 1.6k 0.9× 431 0.5× 191 7.1k
Takeshi Usui Japan 30 1.7k 0.7× 950 0.5× 1.2k 0.6× 1.5k 0.9× 1.8k 2.0× 180 6.0k
R. Clinton Webb United States 45 1.1k 0.4× 905 0.5× 2.5k 1.4× 2.6k 1.5× 226 0.2× 207 6.9k
O. Schmitz Denmark 34 2.8k 1.1× 1.3k 0.7× 1.7k 0.9× 1.5k 0.9× 267 0.3× 113 4.9k
Erik J. Henriksen United States 47 1.2k 0.5× 644 0.3× 3.2k 1.8× 3.1k 1.8× 275 0.3× 130 7.3k
Anita M. Hennige Germany 36 1.0k 0.4× 874 0.5× 1.4k 0.8× 1.3k 0.7× 625 0.7× 78 3.8k

Countries citing papers authored by Andrew A. Young

Since Specialization
Citations

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

Fields of papers citing papers by Andrew A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew A. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew A. Young. A scholar is included among the top collaborators of Andrew A. Young 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 A. Young. Andrew A. Young 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.
Young, Andrew A.. (2012). Brainstem sensing of meal-related signals in energy homeostasis. Neuropharmacology. 63(1). 31–45. 35 indexed citations
2.
He, Min, Haoran Su, Weiwei Gao, et al.. (2010). Reversal of Obesity and Insulin Resistance by a Non-Peptidic Glucagon-Like Peptide-1 Receptor Agonist in Diet-Induced Obese Mice. PLoS ONE. 5(12). e14205–e14205. 39 indexed citations
3.
Galgani, José E., Lilian de Jonge, Jennifer Rood, et al.. (2010). Urinary C‐Peptide Excretion: A Novel Alternate Measure of Insulin Sensitivity in Physiological Conditions. Obesity. 18(9). 1852–1857. 9 indexed citations
4.
Liao, Jiayu, Na Li, Caihong Zhou, et al.. (2007). A nonpeptidic agonist of glucagon-like peptide 1 receptors with efficacy in diabetic db / db mice. Proceedings of the National Academy of Sciences. 104(3). 943–948. 143 indexed citations
5.
Mack, Christine M., Candace X. Moore, Carolyn M. Jodka, et al.. (2006). Antiobesity action of peripheral exenatide (exendin-4) in rodents: effects on food intake, body weight, metabolic status and side-effect measures. International Journal of Obesity. 30(9). 1332–1340. 119 indexed citations
6.
Gedulin, Bronislava, Carolyn M. Jodka, Kathrin Herrmann, & Andrew A. Young. (2006). Role of endogenous amylin in glucagon secretion and gastric emptying in rats demonstrated with the selective antagonist, AC187. Regulatory Peptides. 137(3). 121–127. 61 indexed citations
7.
Young, Andrew A., Carolyn M. Jodka, Richard Pittner, David G. Parkes, & Bronislava Gedulin. (2005). Dose-response for inhibition by amylin of cholecystokinin-stimulated secretion of amylase and lipase in rats. Regulatory Peptides. 130(1-2). 19–26. 6 indexed citations
8.
Gedulin, Bronislava, Pam Smith, K S Prickett, et al.. (2005). Dose–response for glycaemic and metabolic changes 28 days after single injection of long-acting release exenatide in diabetic fatty Zucker rats. Diabetologia. 48(7). 1380–1385. 57 indexed citations
9.
Pittner, Richard, Candace X. Moore, Sunil Bhavsar, et al.. (2004). Effects of PYY[3–36] in rodent models of diabetes and obesity. International Journal of Obesity. 28(8). 963–971. 186 indexed citations
10.
Gedulin, Bronislava, Svetlana E. Nikoulina, Pam Smith, et al.. (2004). Exenatide (Exendin-4) Improves Insulin Sensitivity and β-Cell Mass in Insulin-Resistant Obesefa/faZucker Rats Independent of Glycemia and Body Weight. Endocrinology. 146(4). 2069–2076. 202 indexed citations
11.
Stuckey, David C., et al.. (2001). Nitrification of high strength ammonia wastewaters: comparative study of immobilisation media. Water Research. 35(5). 1169–1178. 129 indexed citations
12.
Horcajada-Molteni, M.-N., et al.. (2000). Amylin inhibits ovariectomy-induced bone loss in rats. Journal of Endocrinology. 165(3). 663–668. 27 indexed citations
13.
Riediger, Thomas, Herbert Schmid, Andrew A. Young, & Eckhart Simon. (1999). Pharmacological characterisation of amylin-related peptides activating subfornical organ neurones. Brain Research. 837(1-2). 161–168. 41 indexed citations
14.
Pittner, Richard, et al.. (1996). Different pharmacological characteristics in L6 and C2C12 muscle cells and intact rat skeletal muscle for amylin, CGRP and calcitonin. British Journal of Pharmacology. 117(5). 847–852. 14 indexed citations
15.
16.
Young, Andrew A., et al.. (1995). Gastric emptying is accelerated in diabetic BB rats and is slowed by subcutaneous injections of amylin. Diabetologia. 38(6). 642–648. 147 indexed citations
17.
Pittner, Richard, et al.. (1995). Amylin and epinephrine have no direct effect on glucose transport in isolated rat soleus muscle. FEBS Letters. 365(1). 98–100. 12 indexed citations
18.
Beaumont, Kevin, Mary Kenney, Andrew A. Young, & T J Rink. (1993). High affinity amylin binding sites in rat brain.. Molecular Pharmacology. 44(3). 493–497. 176 indexed citations
20.
Wang, Ming‐Wei, Andrew A. Young, T J Rink, & Garth J. S. Cooper. (1991). 8–37h‐CGRP antagonizes actions of amylin on carbohydrate metabolism in vitro and in vivo. FEBS Letters. 291(2). 195–198. 39 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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