Jay S. Detsky

116 papers receiving 1.7k citations

Peers

Jay S. Detsky
Comparison fields: 5 of 40
  • Genetics 226
  • Radiation 166
  • Radiology, Nuclear Medicine and Imaging 285
  • Pulmonary and Respiratory Medicine 395
  • Surgery 301
Replace Neal C.S. Rebueno with:
Neal C.S. Rebueno United States
Seiji Tomiguchi Japan
Patrick A. Hein Germany
Yoshiko Oshiro Japan
Leszek Miszczyk Poland
Markus M. Fitzek United States
J.-M. Simon France
Julie Ann Bradley United States
Gail Horan United Kingdom
Ramona Mayer Austria
Jay S. Detsky relative to Neal C.S. Rebueno United States Neal C.S. Rebueno's profile →
Citations per field
00.5×2×4×6×8.8×
Neal C.S. Rebueno · 1×
Citations per year

Countries citing papers authored by Jay S. Detsky

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Detsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018183
2 202287
3 202077
4 201765
5 201956
6 202055
7 202253
8 201947
9 202145
10 201940
11 202339
12 202136
13 202235
14 200734
15 200630
16 202129
17 201928
18 202228
19 202127
20 202225

About Jay S. Detsky

Jay S. Detsky is a scholar working on Genetics, Radiation, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 130 papers that have together received 1.7k indexed citations. Recurring topics across this work include Management of metastatic bone disease (35 papers), Brain Metastases and Treatment (20 papers), Glioma Diagnosis and Treatment (19 papers), Advanced Radiotherapy Techniques (15 papers), Advanced MRI Techniques and Applications (7 papers), Cardiac Imaging and Diagnostics (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Genetics (226 citations), Radiation (166 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Pulmonary and Respiratory Medicine (395 citations) and Surgery (301 citations). Jay S. Detsky has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Arjun Sahgal, Hany Soliman, Sten D. Myrehaug, Chia‐Lin Tseng, Pejman Jabehdar Maralani, Mark Ruschin, Zain Ali Husain, Eshetu G. Atenafu, James Perry and Greg J. Stanisz. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Neuro-Oncology, Radiotherapy and Oncology, Journal of Magnetic Resonance Imaging and Neurosurgery.

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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