Jack Youngren

8.4k total citations · 1 hit paper
70 papers, 3.6k citations indexed

About

Jack Youngren is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jack Youngren has authored 70 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Physiology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jack Youngren's work include Metabolism, Diabetes, and Cancer (27 papers), Adipose Tissue and Metabolism (18 papers) and Prostate Cancer Treatment and Research (18 papers). Jack Youngren is often cited by papers focused on Metabolism, Diabetes, and Cancer (27 papers), Adipose Tissue and Metabolism (18 papers) and Prostate Cancer Treatment and Research (18 papers). Jack Youngren collaborates with scholars based in United States, Canada and Italy. Jack Youngren's co-authors include Ira D. Goldfine, Betty A. Maddux, R. James Barnard, Richard E. Pratley, Celia Pender, Peter J. Havel, Eric J. Small, Lucia Frittitta, George Thomas and Vincenzo Trischitta and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Jack Youngren

70 papers receiving 3.5k citations

Hit Papers

Androgen Receptor Gene Aberrations in Circulating Cell-Fr... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Youngren United States 30 1.4k 801 739 705 665 70 3.6k
Timo Koivula Finland 29 657 0.5× 416 0.5× 445 0.6× 604 0.9× 410 0.6× 88 3.4k
Yunfeng Zhou China 31 1.5k 1.1× 396 0.5× 628 0.8× 175 0.2× 396 0.6× 165 3.6k
Keizo Kanasaki Japan 49 2.4k 1.8× 829 1.0× 451 0.6× 1.3k 1.8× 979 1.5× 143 6.6k
Karen Block United States 35 2.0k 1.5× 946 1.2× 373 0.5× 362 0.5× 267 0.4× 47 4.5k
Ming‐Zhi Zhang United States 38 1.5k 1.1× 487 0.6× 386 0.5× 647 0.9× 362 0.5× 83 4.1k
Thomas C. Wascher Austria 32 972 0.7× 731 0.9× 245 0.3× 627 0.9× 252 0.4× 112 3.0k
Jan Galle Germany 37 1.3k 1.0× 1.0k 1.3× 283 0.4× 535 0.8× 391 0.6× 82 4.3k
Ping Fan China 37 1.9k 1.4× 194 0.2× 431 0.6× 446 0.6× 309 0.5× 218 4.4k
Toshiro Sugimoto Japan 41 2.1k 1.5× 843 1.1× 268 0.4× 907 1.3× 784 1.2× 100 5.3k
Jie Lin United States 41 3.2k 2.3× 459 0.6× 516 0.7× 265 0.4× 904 1.4× 141 5.4k

Countries citing papers authored by Jack Youngren

Since Specialization
Citations

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

Fields of papers citing papers by Jack Youngren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Youngren

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Youngren. A scholar is included among the top collaborators of Jack Youngren 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 Jack Youngren. Jack Youngren 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.
Lu, Eric, George Thomas, Yiyi Chen, et al.. (2018). DNA Repair Gene Alterations and PARP Inhibitor Response in Patients With Metastatic Castration-Resistant Prostate Cancer. Journal of the National Comprehensive Cancer Network. 16(8). 933–937. 8 indexed citations
2.
Aggarwal, Rahul, Spencer C. Behr, Pamela L. Paris, et al.. (2017). Real-Time Transferrin-Based PET Detects MYC-Positive Prostate Cancer. Molecular Cancer Research. 15(9). 1221–1229. 12 indexed citations
3.
Joseph, Gabby B., Adam Foye, Daria Motamedi, et al.. (2017). CT–Guided Bone Biopsies in Metastatic Castration-Resistant Prostate Cancer: Factors Predictive of Maximum Tumor Yield. Journal of Vascular and Interventional Radiology. 28(8). 1073–1081.e1. 24 indexed citations
4.
Aggarwal, Rahul, Tomasz M. Beer, Martin Gleave, et al.. (2016). Targeting Adaptive Pathways in Metastatic Treatment-Resistant Prostate Cancer: Update on the Stand Up 2 Cancer/Prostate Cancer Foundation–Supported West Coast Prostate Cancer Dream Team. European Urology Focus. 2(5). 469–471. 8 indexed citations
5.
Azad, Arun, Stanislav Volik, Alexander W. Wyatt, et al.. (2015). Androgen Receptor Gene Aberrations in Circulating Cell-Free DNA: Biomarkers of Therapeutic Resistance in Castration-Resistant Prostate Cancer. Clinical Cancer Research. 21(10). 2315–2324. 367 indexed citations breakdown →
8.
Landau, Daniel, et al.. (2011). The effects of type 1 IGF receptor inhibition in a mouse model of diabetic kidney disease. Growth Hormone & IGF Research. 21(5). 285–291. 3 indexed citations
9.
Masharani, Umesh, Betty A. Maddux, Xiaojuan Li, et al.. (2011). Insulin Resistance in Non-Obese Subjects Is Associated with Activation of the JNK Pathway and Impaired Insulin Signaling in Skeletal Muscle. PLoS ONE. 6(5). e19878–e19878. 50 indexed citations
10.
Ryan, Charles J., Marianna Zavodovskaya, Jack Youngren, et al.. (2008). Inhibitory effects of nordihydroguaiaretic acid (NDGA) on the IGF‐1 receptor and androgen dependent growth of LAPC‐4 prostate cancer cells. The Prostate. 68(11). 1232–1240. 17 indexed citations
11.
Li, Xiaojuan, Jack Youngren, Giorgos K. Sakkas, et al.. (2007). Technical evaluation of in vivo abdominal fat and IMCL quantification using MRI and MRSI at 3 T. Magnetic Resonance Imaging. 26(2). 188–197. 25 indexed citations
12.
Zavodovskaya, Marianna, Michael J. Campbell, Betty A. Maddux, et al.. (2007). Nordihydroguaiaretic acid (NDGA), an inhibitor of the HER2 and IGF‐1 receptor tyrosine kinases, blocks the growth of HER2‐overexpressing human breast cancer cells. Journal of Cellular Biochemistry. 103(2). 624–635. 42 indexed citations
13.
Pender, Celia, et al.. (2006). Expression of genes regulating Malonyl‐CoA in human skeletal muscle. Journal of Cellular Biochemistry. 99(3). 860–867. 22 indexed citations
14.
Youngren, Jack, et al.. (2001). Enhanced muscle insulin receptor autophosphorylation with short-term aerobic exercise training. American Journal of Physiology-Endocrinology and Metabolism. 280(3). E528–E533. 44 indexed citations
16.
Youngren, Jack, Ira D. Goldfine, & Richard E. Pratley. (1999). Insulin receptor autophosphorylation in cultured myoblasts correlates to glucose disposal in Pima Indians. American Journal of Physiology-Endocrinology and Metabolism. 276(5). E990–E994. 13 indexed citations
17.
Youngren, Jack, et al.. (1996). Skeletal muscle content of membrane glycoprotein PC-1 in obesity. Relationship to muscle glucose transport. Diabetes. 45(10). 1324–1328. 15 indexed citations
18.
Youngren, Jack, et al.. (1995). Diet, Not Aging, Causes Skeletal Muscle Insulin Resistance. Gerontology. 41(4). 205–211. 28 indexed citations
19.
Maddux, Betty A., Paolo Sbraccia, Shinobu Kumakura, et al.. (1995). Membrane glycoprotein PC-1 and insulin resistance in non-insulin-dependent diabetes mellitus. Nature. 373(6513). 448–451. 249 indexed citations
20.
Barnard, R. J., Jack Youngren, & Deborah A. Martin. (1990). 754 EFFECTS OF STREPTOZOTOCIN-INDUCED DIABETES ON GLUCOSE TRANSPORT IN SKELETAL MUSCLE. Medicine & Science in Sports & Exercise. 22(2). S126–S126. 4 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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