Samuel McFadden

507 total citations
21 papers, 372 citations indexed

About

Samuel McFadden is a scholar working on Physiology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Samuel McFadden has authored 21 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 8 papers in Pediatrics, Perinatology and Child Health and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Samuel McFadden's work include Adipose Tissue and Metabolism (11 papers), Birth, Development, and Health (8 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). Samuel McFadden is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Birth, Development, and Health (8 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). Samuel McFadden collaborates with scholars based in United States, Brazil and Poland. Samuel McFadden's co-authors include Andrzej Bartke, Yimin Fang, Justin Darcy, Gordon K. Moe, James B. Preston, Liou Y. Sun, Cristal M. Hill, Erin R. Hascup, Kevin N. Hascup and Michał M. Masternak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and The Journals of Gerontology Series A.

In The Last Decade

Samuel McFadden

21 papers receiving 362 citations

Peers

Samuel McFadden

PHYSI

AGING

EDM

PPCH

Mark Romanick United States

Ana Vukolic Switzerland

Lauren A. Jeffers United States

Sean All United States

Lise Wegner Denmark

Evie van der Spoel Netherlands

Derek M. Huffman United States

Michal Poplawski United States

Claudia Gebhardt Germany

Kristin E. Claflin United States

Mark Romanick United States

Samuel McFadden

123 ×0.6

PHYSI

110 ×1.3

51 ×0.6

AGING

40 ×0.5

EDM

40 ×0.6

PPCH

Citations per year, relative to Samuel McFadden Samuel McFadden (= 1×) peers Mark Romanick

Countries citing papers authored by Samuel McFadden

Since Specialization

Citations

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

Fields of papers citing papers by Samuel McFadden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel McFadden

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel McFadden. A scholar is included among the top collaborators of Samuel McFadden 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 Samuel McFadden. Samuel McFadden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Schneider, Augusto, Xiang Zhu, Yun Zhu, et al.. (2024). Early life interventions metformin and trodusquemine metabolically reprogram the developing mouse liver through transcriptomic alterations. Aging Cell. 23(9). e14227–e14227. 4 indexed citations

Fang, Yimin, David X. Medina, Samuel McFadden, et al.. (2024). Senolytic intervention improves cognition, metabolism, and adiposity in female APPNL−F/NL−F mice. GeroScience. 47(1). 1123–1138. 7 indexed citations

McFadden, Samuel, et al.. (2024). Thermotherapy has sexually dimorphic responses in APP/PS1 mice. Aging. 16(21). 13237–13251. 1 indexed citations

McFadden, Samuel, et al.. (2024). Sexual dimorphism, altered hippocampal glutamatergic neurotransmission, and cognitive impairment in APP knock-in mice. Journal of Alzheimer s Disease. 102(2). 491–505. 2 indexed citations

Fang, Yimin, et al.. (2023). Sexual dimorphic metabolic and cognitive responses of C57BL/6 mice to Fisetin or Dasatinib and quercetin cocktail oral treatment. GeroScience. 45(5). 2835–2850. 29 indexed citations

McFadden, Samuel, et al.. (2023). Prodromal Glutamatergic Modulation with Riluzole Impacts Glucose Homeostasis and Spatial Cognition in Alzheimer’s Disease Mice. Journal of Alzheimer s Disease. 94(1). 371–392. 4 indexed citations

Fang, Yimin, et al.. (2022). Resistance to mild cold stress is greater in both wild-type and long-lived GHR-KO female mice. GeroScience. 45(2). 1081–1093. 1 indexed citations

McFadden, Samuel, et al.. (2022). Chronic, Mild Hypothermic Environmental Temperature Does Not Ameliorate Cognitive Deficits in an Alzheimer’s Disease Mouse. The Journals of Gerontology Series A. 78(6). 911–919. 4 indexed citations

Schneider, Augusto, Berta Victoria, Yimin Fang, et al.. (2021). Growth Hormone Signaling Shapes the Impact of Environmental Temperature on Transcriptomic Profile of Different Adipose Tissue Depots in Male Mice. The Journals of Gerontology Series A. 77(5). 941–946. 2 indexed citations

10.

Saccon, Tatiana D., Monique Tomazele Rovani, Driele N. Garcia, et al.. (2021). Growth hormone increases DNA damage in ovarian follicles and macrophage infiltration in the ovaries. GeroScience. 44(2). 1071–1081. 10 indexed citations

11.

Darcy, Justin, Yimin Fang, Samuel McFadden, et al.. (2020). Integrated metabolomics reveals altered lipid metabolism in adipose tissue in a model of extreme longevity. GeroScience. 42(6). 1527–1546. 21 indexed citations

12.

Schneider, Augusto, Yimin Fang, Samuel McFadden, et al.. (2020). 17α-Estradiol Modulates IGF1 and Hepatic Gene Expression in a Sex-Specific Manner. The Journals of Gerontology Series A. 76(5). 778–785. 21 indexed citations

13.

Darcy, Justin, Samuel McFadden, Yimin Fang, et al.. (2018). Increased environmental temperature normalizes energy metabolism outputs between normal and Ames dwarf mice. Aging. 10(10). 2709–2722. 13 indexed citations

14.

Fang, Yimin, Cristal M. Hill, Justin Darcy, et al.. (2018). Effects of rapamycin on growth hormone receptor knockout mice. Proceedings of the National Academy of Sciences. 115(7). E1495–E1503. 39 indexed citations

15.

Darcy, Justin, Samuel McFadden, & Andrzej Bartke. (2017). Altered structure and function of adipose tissue in long-lived mice with growth hormone-related mutations. Adipocyte. 6(2). 69–75. 14 indexed citations

16.

Fang, Yimin, Samuel McFadden, Justin Darcy, et al.. (2017). Differential effects of early-life nutrient restriction in long-lived GHR-KO and normal mice. GeroScience. 39(3). 347–356. 24 indexed citations

17.

Sun, Liou Y., Yimin Fang, Amit Patki, et al.. (2017). Longevity is impacted by growth hormone action during early postnatal period. eLife. 6. 52 indexed citations

18.

Darcy, Justin, Samuel McFadden, Yimin Fang, et al.. (2016). Brown Adipose Tissue Function Is Enhanced in Long-Lived, Male Ames Dwarf Mice. Endocrinology. 157(12). 4744–4753. 44 indexed citations

19.

Darcy, Justin, Yimin Fang, Cristal M. Hill, et al.. (2016). Original Research: Metabolic alterations from early life thyroxine replacement therapy in male Ames dwarf mice are transient. Experimental Biology and Medicine. 241(16). 1764–1771. 9 indexed citations

20.

Preston, James B., Samuel McFadden, & Gordon K. Moe. (1959). Atrioventricular transmission in young mammals. American Journal of Physiology-Legacy Content. 197(1). 236–240. 57 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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