David A. Young

17.0k citations
266 papers · 12.2k indexed · 3 hit papers · h-index 61

David A. Young

258 papers receiving 11.7k citations

Hit Papers

Nonlinear Models for Repeated Measurement Data9491991202620022014250500750

Peers

David A. Young
Comparison fields: 5 of 200
  • Rheumatology 2.4k
  • Cancer Research 2.0k
  • Pharmacology 1.9k
  • Obstetrics and Gynecology 659
  • Biochemistry 459
Replace Terho Lehtimäki with:
Terho Lehtimäki Finland
Michiaki Kubo Japan
Cornelia M. van Duijn Netherlands
Stephen J. Chanock United States
Hiroshi Suzuki Japan
Eric Boerwinkle United States
Peter M. Jones United Kingdom
P. Eline Slagboom Netherlands
Douglas L. Mann United States
Richard N. Bergman United States
David A. Young relative to Terho Lehtimäki Finland Terho Lehtimäki's profile →
Citations per field
00.5×1.5×2.5×
Terho Lehtimäki · 1×
Citations per year

Countries citing papers authored by David A. Young

Since Specialization
Citations

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

Fields of papers citing papers by David A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Young. 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 David A. Young. The network helps show where David A. Young may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David A. Young, 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 David A. Young Line = papers co-authored together David A. Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 202136
4 20209
5 202020
6 202017
7 201491
8 20142
9 20142
10 20121
11 201034
12 200473
13 200348
14 200221
15 20006
16 200019
17 1999177
18 19824
19
Effect of selection location on early generation selection efficiency in a cooperative potato breeding project
19821
20 19783

About David A. Young

David A. Young is a scholar working on Cancer Research, Rheumatology, Immunology and Allergy, Molecular Biology and Physiology, having authored 266 papers that have together received 12.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (54 papers), Cancer-related molecular mechanisms research (41 papers), MicroRNA in disease regulation (24 papers), Protease and Inhibitor Mechanisms (20 papers), Potato Plant Research (14 papers), Plant Pathogens and Resistance (14 papers), Inflammatory mediators and NSAID effects (13 papers) and Peptidase Inhibition and Analysis (12 papers). The work is most often cited by research in Rheumatology (2.4k citations), Cancer Research (2.0k citations), Pharmacology (1.9k citations), Obstetrics and Gynecology (659 citations) and Biochemistry (459 citations). David A. Young has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include M. Kerry O’Banion, Virginia D. Winn, Marie Davidian, David M. Giltinan, Ian M. Clark, Matt J. Barter, Tim E. Cawston, Andrew D. Rowan, Henry B. Sadowski and Dylan R. Edwards. Their work appears in journals such as American Journal of Potato Research, Journal of Biological Chemistry, Osteoarthritis and Cartilage, Annals of the Rheumatic Diseases and Scientific Reports.

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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