Austin M. Reilly

475 total citations
22 papers, 303 citations indexed

About

Austin M. Reilly is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Austin M. Reilly has authored 22 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Physiology. Recurrent topics in Austin M. Reilly's work include Bone health and treatments (4 papers), Bone Metabolism and Diseases (4 papers) and Parathyroid Disorders and Treatments (3 papers). Austin M. Reilly is often cited by papers focused on Bone health and treatments (4 papers), Bone Metabolism and Diseases (4 papers) and Parathyroid Disorders and Treatments (3 papers). Austin M. Reilly collaborates with scholars based in United States, Australia and Canada. Austin M. Reilly's co-authors include Amie K. Gray, Rita Gerard-O’Riley, Michael J. Econs, Imranul Alam, Hongxia Ren, William Poulson, Jason MacTaggart, Jiangtao Luo, Alexey Kamenskiy and Aaron C. Ericsson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and American Journal of Clinical Nutrition.

In The Last Decade

Austin M. Reilly

20 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin M. Reilly United States 13 148 61 55 55 40 22 303
Melisande Addison United Kingdom 9 97 0.7× 32 0.5× 64 1.2× 69 1.3× 46 1.1× 13 300
Sagrario Cañadillas Spain 11 71 0.5× 70 1.1× 59 1.1× 32 0.6× 19 0.5× 13 317
Julia M. Hum United States 13 175 1.2× 143 2.3× 36 0.7× 50 0.9× 22 0.6× 34 435
Sathish K. Murali Denmark 13 250 1.7× 127 2.1× 31 0.6× 35 0.6× 67 1.7× 21 505
Teresa Manhardt Austria 13 132 0.9× 123 2.0× 25 0.5× 40 0.7× 67 1.7× 19 431
Kathryn E. Gropp United States 9 487 3.3× 57 0.9× 60 1.1× 153 2.8× 51 1.3× 16 680
Anna S. Wilhelmson Sweden 11 117 0.8× 55 0.9× 19 0.3× 44 0.8× 117 2.9× 19 364
Hiroyuki Konya Japan 10 102 0.7× 30 0.5× 75 1.4× 73 1.3× 109 2.7× 22 285
E.-Y. Liao China 8 121 0.8× 29 0.5× 25 0.5× 100 1.8× 29 0.7× 9 368
Michael Föller Germany 10 222 1.5× 86 1.4× 44 0.8× 29 0.5× 42 1.1× 10 392

Countries citing papers authored by Austin M. Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Austin M. Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin M. Reilly. 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 Austin M. Reilly. The network helps show where Austin M. Reilly may publish in the future.

Co-authorship network of co-authors of Austin M. Reilly

This figure shows the co-authorship network connecting the top 25 collaborators of Austin M. Reilly. A scholar is included among the top collaborators of Austin M. Reilly 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 Austin M. Reilly. Austin M. Reilly 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.
Fair, Benjamin, Junxing Zhao, Austin M. Reilly, et al.. (2024). Global impact of unproductive splicing on human gene expression. Nature Genetics. 56(9). 1851–1861. 23 indexed citations
2.
Yan, Shijun, Jason M. Conley, Austin M. Reilly, et al.. (2022). Intestinal Gpr17 deficiency improves glucose metabolism by promoting GLP-1 secretion. Cell Reports. 38(1). 110179–110179. 11 indexed citations
3.
Reilly, Austin M., Shijun Yan, Menghao Huang, et al.. (2021). A high-fat diet catalyzes progression to hyperglycemia in mice with selective impairment of insulin action in Glut4-expressing tissues. Journal of Biological Chemistry. 298(1). 101431–101431. 13 indexed citations
4.
Reilly, Austin M., Andy P. Tsai, Peter Bor‐Chian Lin, et al.. (2020). Metabolic Defects Caused by High-Fat Diet Modify Disease Risk through Inflammatory and Amyloidogenic Pathways in a Mouse Model of Alzheimer’s Disease. Nutrients. 12(10). 2977–2977. 23 indexed citations
5.
Reilly, Austin M., et al.. (2019). Sinus Squeeze (Barosinusitis, Aerosinusitis). StatPearls. 1 indexed citations
6.
Ren, Hongxia, Adriana Vieira‐de‐Abreu, Shijun Yan, et al.. (2019). Altered Central Nutrient Sensing in Male Mice Lacking Insulin Receptors in Glut4-expressing Neurons. Endocrinology. 160(9). 2038–2048. 9 indexed citations
7.
Reilly, Austin M., Sunil K. Panigrahi, Shijun Yan, et al.. (2019). Gpr17 deficiency in POMC neurons ameliorates the metabolic derangements caused by long-term high-fat diet feeding. Nutrition and Diabetes. 9(1). 29–29. 18 indexed citations
8.
Kamenskiy, Alexey, et al.. (2018). Prevalence of Calcification in Human Femoropopliteal Arteries and its Association with Demographics, Risk Factors, and Arterial Stiffness. Arteriosclerosis Thrombosis and Vascular Biology. 38(4). e48–e57. 49 indexed citations
9.
Alam, Imranul, Austin M. Reilly, Rita Gerard-O’Riley, et al.. (2018). Overexpression of WNT16 Does Not Prevent Cortical Bone Loss Due to Glucocorticoid Treatment in Mice. JBMR Plus. 3(4). e10084–e10084. 12 indexed citations
10.
Reilly, Austin M., et al.. (2018). Evidence of degradation of hair corticosterone in museum specimens. General and Comparative Endocrinology. 268. 128–133. 5 indexed citations
11.
Alam, Imranul, Austin M. Reilly, Rita Gerard-O’Riley, et al.. (2017). Bone Mass and Strength are Significantly Improved in Mice Overexpressing Human WNT16 in Osteocytes. PMC. 1 indexed citations
13.
Alam, Imranul, et al.. (2016). Bone Mass and Strength are Significantly Improved in Mice Overexpressing Human WNT16 in Osteocytes. Calcified Tissue International. 100(4). 361–373. 17 indexed citations
14.
Alam, Imranul, et al.. (2015). Interferon Gamma, but not Calcitriol Improves the Osteopetrotic Phenotypes in ADO2 Mice. Journal of Bone and Mineral Research. 30(11). 2005–2013. 22 indexed citations
15.
Alam, Imranul, Rita Gerard-O’Riley, Amie K. Gray, et al.. (2015). Osteoblast-Specific Overexpression of Human WNT16 Increases Both Cortical and Trabecular Bone Mass and Structure in Mice. Endocrinology. 157(2). 722–736. 38 indexed citations
16.
Reilly, Austin M., Amie K. Gray, Sharon M. Moe, & Shoji Ichikawa. (2014). Nicotinamide treatment in a murine model of familial tumoral calcinosis reduces serum Fgf23 and raises heart calcium. Bone. 67. 139–144. 8 indexed citations
17.
Ichikawa, Shoji, et al.. (2014). High Dietary Phosphate Intake Induces Development of Ectopic Calcifications in a Murine Model of Familial Tumoral Calcinosis. Journal of Bone and Mineral Research. 29(9). 2017–2023. 12 indexed citations
18.
Reilly, Austin M., Amie K. Gray, Sharon M. Moe, & Shoji Ichikawa. (2014). Nicotinamide treatment in a murine model of familial tumoral calcinosis reduces serum Fgf23 and raises heart calcium.
19.
Reilly, Austin M., et al.. (1999). Autonomic nerve function in adolescents with Type 1 diabetes mellitus: relationship to microalbuminuria. Diabetic Medicine. 16(7). 550–554. 15 indexed citations
20.
Reilly, Austin M., et al.. (1997). Aging, physical activity, insulin-like growth factor I, and body composition in Guatemalan women. American Journal of Clinical Nutrition. 66(4). 874–879. 13 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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