Thomas J. Spady

807 total citations
23 papers, 569 citations indexed

About

Thomas J. Spady is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Ecology. According to data from OpenAlex, Thomas J. Spady has authored 23 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Genetics and 6 papers in Ecology. Recurrent topics in Thomas J. Spady's work include Estrogen and related hormone effects (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Pituitary Gland Disorders and Treatments (7 papers). Thomas J. Spady is often cited by papers focused on Estrogen and related hormone effects (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Pituitary Gland Disorders and Treatments (7 papers). Thomas J. Spady collaborates with scholars based in United States and Canada. Thomas J. Spady's co-authors include James D. Shull, Rodney D. McComb, Barbara Durrant, Donald G. Lindburg, Karen L. Pennington, Diane F. Birt, Kim Pulvers, Djuana M. E. Harvell, Anna Hood and Tracy E. Strecker and has published in prestigious journals such as Genetics, Endocrinology and Journal of Nutrition.

In The Last Decade

Thomas J. Spady

23 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Spady United States 14 228 147 131 129 62 23 569
Matthew D. Taves Canada 19 138 0.6× 238 1.6× 115 0.9× 128 1.0× 230 3.7× 30 1.1k
Graciela A. Jahn Argentina 20 250 1.1× 509 3.5× 163 1.2× 78 0.6× 62 1.0× 84 1.2k
J. D. Curlewis Australia 17 165 0.7× 202 1.4× 163 1.2× 111 0.9× 38 0.6× 37 927
Sylvia V.H. Grommen Belgium 13 133 0.6× 80 0.5× 115 0.9× 77 0.6× 31 0.5× 31 504
Shelley Valle United States 13 122 0.5× 95 0.6× 117 0.9× 108 0.8× 151 2.4× 19 580
Fumiaki Cho Japan 16 104 0.5× 51 0.3× 155 1.2× 22 0.2× 98 1.6× 91 856
Nancy Clark United States 18 102 0.4× 40 0.3× 163 1.2× 246 1.9× 49 0.8× 85 898
George M. Butterstein United States 13 61 0.3× 33 0.2× 70 0.5× 78 0.6× 76 1.2× 26 393
Steven A Zinn United States 13 105 0.5× 65 0.4× 116 0.9× 112 0.9× 27 0.4× 49 591
Kerry Hull Canada 21 296 1.3× 732 5.0× 248 1.9× 52 0.4× 39 0.6× 58 1.3k

Countries citing papers authored by Thomas J. Spady

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Spady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Spady. 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 Thomas J. Spady. The network helps show where Thomas J. Spady may publish in the future.

Co-authorship network of co-authors of Thomas J. Spady

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Spady. A scholar is included among the top collaborators of Thomas J. Spady 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 Thomas J. Spady. Thomas J. Spady 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.
Fowler, Nicholas L., Thomas J. Spady, Guiming Wang, Bruce D. Leopold, & Jerrold L. Belant. (2021). Denning, metabolic suppression, and the realisation of ecological opportunities in Ursidae. Mammal Review. 51(4). 465–481. 3 indexed citations
2.
Horn, R, et al.. (2018). Phenotypic plasticity in the timing of reproduction in Andean bears. Journal of Zoology. 305(3). 196–202. 21 indexed citations
3.
Moore, J. M., et al.. (2014). Sequential ovulation and fertility of polyoestrus in American black bears (Ursus americanus). Conservation Physiology. 2(1). cou051–cou051. 7 indexed citations
4.
Hood, Anna, et al.. (2014). Anxiety mediates the effect of acute stress on working memory performance when cortisol levels are high: a moderated mediation analysis. Anxiety Stress & Coping. 28(5). 545–562. 33 indexed citations
5.
Moore, Jenna M., et al.. (2013). American black bear mating behavior and chemosensation of estrus. Ursus. 24(2). 139–147. 4 indexed citations
6.
Hood, Anna, Kim Pulvers, & Thomas J. Spady. (2013). Timing and Gender Determine If Acute Pain Impairs Working Memory Performance. Journal of Pain. 14(11). 1320–1329. 11 indexed citations
7.
Spady, Thomas J., Henry J. Harlow, George M. Butterstein, & Barbara Durrant. (2009). Leptin as a surrogate indicator of body fat in the American black bear. Ursus. 20(2). 120–130. 11 indexed citations
8.
Durrant, Barbara, et al.. (2006). New technologies for the study of carnivore reproduction. Theriogenology. 66(6-7). 1729–1736. 35 indexed citations
9.
Shull, James D., Cynthia M. Lachel, Tracy E. Strecker, et al.. (2006). Genetic bases of renal agenesis in the ACI rat: mapping of Renag1 to chromosome 14. Mammalian Genome. 17(7). 751–759. 8 indexed citations
10.
Strecker, Tracy E., Thomas J. Spady, Beverly S. Schaffer, et al.. (2005). Genetic Bases of Estrogen-Induced Pituitary Tumorigenesis. Genetics. 169(4). 2189–2197. 24 indexed citations
11.
Pernasetti, Flavia, Thomas J. Spady, Marjory L. Givens, et al.. (2003). Pituitary tumorigenesis targeted by the ovine follicle-stimulating hormone β-subunit gene regulatory region in transgenic mice. Molecular and Cellular Endocrinology. 203(1-2). 169–183. 13 indexed citations
12.
Spady, Thomas J., Rodney D. McComb, & James D. Shull. (1999). Estrogen Action in the Regulation of Cell Proliferation, Cell Survival, and Tumorigenesis in the Rat Anterior Pituitary Gland. Endocrine. 11(3). 217–234. 70 indexed citations
13.
Spady, Thomas J., Karen L. Pennington, Rodney D. McComb, Diane F. Birt, & James D. Shull. (1999). Estrogen-induced pituitary tumor development in the ACI rat not inhibited by dietary energy restriction. Molecular Carcinogenesis. 26(4). 239–253. 15 indexed citations
14.
Spady, Thomas J., Djuana M. E. Harvell, Athena M. Lemus-Wilson, et al.. (1999). Modulation of Estrogen Action in the Rat Pituitary and Mammary Glands by Dietary Energy Consumption. Journal of Nutrition. 129(2). 587S–590S. 22 indexed citations
15.
Spady, Thomas J., Karen L. Pennington, Rodney D. McComb, & James D. Shull. (1999). Genetic Bases of Estrogen-Induced Pituitary Growth in an Intercross between the ACI and Copenhagen Rat Strains: Dominant Mendelian Inheritance of the ACI Phenotype*. Endocrinology. 140(6). 2828–2835. 34 indexed citations
16.
17.
Spady, Thomas J., Athena M. Lemus-Wilson, Karen L. Pennington, et al.. (1998). Dietary energy restriction abolishes development of prolactin-producing pituitary tumors in Fischer 344 rats treated with 17-βestradiol. Molecular Carcinogenesis. 23(2). 86–95. 17 indexed citations
18.
19.
Shull, James D., et al.. (1998). Estrogen induction of prolactin‐producing pituitary tumors in the Fischer 344 rat: Modulation by dietary‐energy but not protein consumption. Molecular Carcinogenesis. 23(2). 96–105. 2 indexed citations
20.
Shull, James D., et al.. (1998). Estrogen induction of prolactin‐producing pituitary tumors in the Fischer 344 rat: Modulation by dietary‐energy but not protein consumption. Molecular Carcinogenesis. 23(2). 96–105. 16 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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