Jonathan T. Yang

99 papers receiving 2.0k citations

Peers

Jonathan T. Yang
Comparison fields: 5 of 115
  • Genetics 377
  • Pulmonary and Respiratory Medicine 672
  • Oncology 432
  • Radiology, Nuclear Medicine and Imaging 281
  • Cancer Research 169
Replace Masayuki Matsuo with:
Masayuki Matsuo Japan
Hany Soliman Canada
J.H.A.M. Kaanders Netherlands
Lars Stegger Germany
Edwin F. Donnelly United States
G. Gademann Germany
Amita Shukla‐Dave United States
Vikas Prasad Germany
MingDe Lin United States
Christoph Thilmann Germany
Jonathan T. Yang relative to Masayuki Matsuo Japan Masayuki Matsuo's profile →
Citations per field
00.5×1.5×2.1×
Masayuki Matsuo · 1×
Citations per year

Countries citing papers authored by Jonathan T. Yang

Since Specialization
Citations

This map shows the geographic impact of Jonathan T. Yang'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 Jonathan T. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. Yang more than expected).

Fields of papers citing papers by Jonathan T. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan T. Yang. 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 Jonathan T. Yang. The network helps show where Jonathan T. Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015228
2 2013196
3 2018186
4 2018116
5 200766
6 201564
7 201853
8 202352
9 201948
10 201348
11 201347
12 201545
13 201445
14 201542
15 202038
16 202034
17 201631
18 202130
19 201829
20 201929

About Jonathan T. Yang

Jonathan T. Yang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 110 papers that have together received 2.0k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (36 papers), Management of metastatic bone disease (23 papers), Glioma Diagnosis and Treatment (22 papers), Lung Cancer Treatments and Mutations (14 papers), Lung Cancer Research Studies (12 papers), Advanced Radiotherapy Techniques (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Breast Cancer Treatment Studies (7 papers). The work is most often cited by research in Genetics (377 citations), Pulmonary and Respiratory Medicine (672 citations), Oncology (432 citations), Radiology, Nuclear Medicine and Imaging (281 citations) and Cancer Research (169 citations). Jonathan T. Yang has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Kathryn Beal, Viviane Tabar, Cameron Brennan, Zhigang Zhang, Robert J. Young, Yoshiya Yamada, Timothy A. Chan, Åse Ballangrud, Philip H. Gutin and Alice Y. Ho. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Advances in Radiation Oncology, Journal of Clinical Oncology, Neuro-Oncology and Journal of Neuro-Oncology.

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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