Jack Youngren

8.4k citations
70 papers · 3.6k indexed · 1 hit paper · h-index 30

Jack Youngren

70 papers receiving 3.5k citations

Hit Papers

Androgen Receptor Gene Aberrations in Circulating Cell-Fr...3672015202620182022100200300

Peers

Jack Youngren
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 705
  • Cancer Research 624
  • Reproductive Medicine 349
  • Physiology 801
  • Endocrine and Autonomic Systems 203
Replace Nobuharu Fujii with:
Nobuharu Fujii Japan
Karen Block United States
Ping Fan China
Ronald E. Law United States
Keizo Kanasaki Japan
Marta Letizia Hribal Italy
Jie Lin United States
Jan Galle Germany
Ming-Hui Zou United States
Toshiro Sugimoto Japan
Jack Youngren relative to Nobuharu Fujii Japan Nobuharu Fujii's profile →
Citations per field
00.5×3.7×
Nobuharu Fujii · 1×
Citations per year

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

The 25 scholars most cited alongside Jack Youngren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Youngren Line = papers co-authored together Jack Youngren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20188
2 201712
3 201724
4
Androgen Receptor Gene Aberrations in Circulating Cell-Free DNA: Biomarkers of Therapeutic Resistance in Castration-Resistant Prostate Cancerbreakdown →
2015367
5 201214
6 20113
7 201150
8 201016
9 200919
10 200742
11 200725
12 2007156
13 200592
14 200513
15 200451
16 200234
17 19967
18 199656
19 199528
20 1995249

About Jack Youngren

Jack Youngren is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Physiology, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (27 papers), Adipose Tissue and Metabolism (18 papers), Prostate Cancer Treatment and Research (18 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Cancer Genomics and Diagnostics (7 papers), Pancreatic function and diabetes (7 papers) and Muscle metabolism and nutrition (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (705 citations), Cancer Research (624 citations) and Reproductive Medicine (349 citations). Jack Youngren has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Ira D. Goldfine, Betty A. Maddux, R. James Barnard, Celia Pender, Richard E. Pratley, Peter J. Havel, Eric J. Small, Lucia Frittitta, George Thomas and Vincenzo Trischitta. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Journal of Cellular Biochemistry and Metabolism.

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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