David S. Yu

5.3k citations
94 papers · 3.3k indexed · 2 hit papers · h-index 29

Impact in

  • Aging top 5%
  • Genetics top 5%
    • Mesenchymal stem cell research
    • BRCA gene mutations in cancer

Papers in

David S. Yu

89 papers receiving 3.3k citations

Hit Papers

Insights into DNA recombination from the structure of a RAD51–BRCA2 complex 2002 · 540 citations
5402000202620082017200400600

Peers

David S. Yu
Comparison fields: 5 of 146
  • Aging 63
  • Genetics 324
  • Geriatrics and Gerontology 115
  • Otorhinolaryngology 128
  • Molecular Biology 2.0k
Replace Steve Braunstein with:
Steve Braunstein United States
Shakti Ramkissoon United States
Atsushi Shibata Japan
Niels Grabe Germany
Phuoc T. Tran United States
Florian Buettner Germany
James M. Larner United States
Jacob G. Scott United States
Uwe M. Martens Germany
Marcus Vetter Switzerland
David S. Yu relative to Steve Braunstein United States Steve Braunstein's profile →
Citations per field
00.5×6.1×
Steve Braunstein · 1×
Citations per year

Countries citing papers authored by David S. Yu

Since Specialization
Citations

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

Fields of papers citing papers by David S. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 202410
4 20242
5 20247
6 20240
7 20234
8 202217
9 202128
10 20211
11 201918
12 201924
13 201424
14 201414
15 20121
16 201141
17 20111
18 2011100
19 200394
20 199852

About David S. Yu

David S. Yu is a scholar working on Otorhinolaryngology, Geriatrics and Gerontology, Radiation, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (19 papers), Advanced Radiotherapy Techniques (15 papers), Head and Neck Cancer Studies (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Sirtuins and Resveratrol in Medicine (8 papers), CRISPR and Genetic Engineering (6 papers), Medical Imaging Techniques and Applications (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Aging (63 citations), Genetics (324 citations), Geriatrics and Gerontology (115 citations), Otorhinolaryngology (128 citations) and Molecular Biology (2.0k citations). David S. Yu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ashok R. Venkitaraman, Luca Pellegrini, Tom L. Blundell, Margaret Buckingham, Jonathan R. Beauchamp, Shahragim Tajbakhsh, Robert G. Kelly, Louise A. Heslop, Peter S. Zammit and Terence A. Partridge. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Biological Chemistry, Physics in Medicine and Biology 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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