Daniel P. Young

444 citations
17 papers · 366 · h-index 10

Impact in

Papers in

Daniel P. Young

17 papers receiving 359 citations

Peers

Daniel P. Young
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 128
  • Genetics 35
  • Oncology 49
  • Molecular Biology 85
  • Cellular and Molecular Neuroscience 20
Replace Igor I. Doronin with:
Igor I. Doronin Russia
Hussein Akil France
Céléna Dubuc Canada
Leslie Ann Caromile United States
Jeffrey R. van Senten Netherlands
Enzo Palma United States
Sheila Gupta United States
Paul J. McCracken United States
Priyam A. Patel United States
Malene Brandt-Larsen Denmark
Daniel P. Young relative to Igor I. Doronin Russia Igor I. Doronin's profile →
Citations per field
00.5×5×10×15×22×
Igor I. Doronin · 1×
Citations per year

Countries citing papers authored by Daniel P. Young

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201192
2 201146
3 201244
4 201340
5 200631
6 200920
7 201214
8 201013
9 201511
10 201811
11 201010
12 201210
13 20148
14 20187
15 20145
16 20032
17 20162

About Daniel P. Young

Daniel P. Young is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pathology and Forensic Medicine, Emergency Medicine and Genetics, having authored 17 papers that have together received 366 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (5 papers), Medical Imaging Techniques and Applications (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Lung Cancer Treatments and Mutations (1 paper), Lymphadenopathy Diagnosis and Analysis (1 paper), Cancer-related cognitive impairment studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (128 citations), Genetics (35 citations), Oncology (49 citations), Molecular Biology (85 citations) and Cellular and Molecular Neuroscience (20 citations). Daniel P. Young has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Juri George Gelovani, Hsin Hsien Yeh, Mian M. Alauddin, Leo G. Flores, Suren Soghomonyan, William P. Tong, Aleksandr Shavrin, Victor N. Krasnykh, Kazuma Ogawa and Julius Balatoni. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Molecular Imaging and Biology, Blood and NeuroImage.

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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