David S. Yu

92 papers receiving 3.6k citations

David S. Yu's Hit Papers

CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model 2023 · 68 citations
680+8+17Years since publication200400600

Peers

David S. Yu
Comparison fields: 5 of 137
  • Geriatrics and Gerontology 113
  • Aging 62
  • Molecular Biology 2.1k
  • Genetics 298
  • Cancer Research 332
Replace Atsushi Shibata with:
Atsushi Shibata Japan
Makoto Goto Japan
Arnab Chakravarti United States
Niels Grabe Germany
Erik H.J. Danen Netherlands
Lorenzo Montanaro Italy
Christian Braun Germany
Anat Stemmer‐Rachamimov United States
Daniel P. Cahill United States
Anna C. Obenauf Austria
David S. Yu relative to Atsushi Shibata Japan Atsushi Shibata's profile →
Citations per field
00.5×5.9×
Atsushi Shibata · 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-authors

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

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expression of Cd34 and Myf5 Defines the Majority of Quiescent Adult Skeletal Muscle Satellite Cells
Hit paper breakdown →
2000701
2
Insights into DNA recombination from the structure of a RAD51–BRCA2 complex
Hit paper breakdown →
2002545
3 2003227
4 2012141
5 2005108
6 2013104
7 2011102
8 200396
9 201486
10 201076
11 201373
12
CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model
Hit paper breakdown →
202368
13 202362
14 201462
15 201961
16 201755
17 201753
18 199852
19 201945
20 201244

About David S. Yu

David S. Yu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 98 papers that have together received 3.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (20 papers), Advanced Radiotherapy Techniques (11 papers), Sirtuins and Resveratrol in Medicine (8 papers), CRISPR and Genetic Engineering (7 papers), Head and Neck Cancer Studies (6 papers), Breast Cancer Treatment Studies (5 papers), PARP inhibition in cancer therapy (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Geriatrics and Gerontology (113 citations), Aging (62 citations), Molecular Biology (2.1k citations), Genetics (298 citations) and Cancer Research (332 citations). David S. Yu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ashok R. Venkitaraman, Tom L. Blundell, Luca Pellegrini, Louise A. Heslop, Thomas Lo, Mi-Young Lee, Peter S. Zammit, Margaret Buckingham, Shahragim Tajbakhsh and Terence A. Partridge. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Journal of Biological Chemistry 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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