Jonathan T. Yang

5.1k citations
108 papers · 1.9k · h-index 23

Impact in

Papers in

Jonathan T. Yang

99 papers receiving 1.9k citations

Peers

Jonathan T. Yang
Comparison fields: 5 of 119
  • Genetics 612
  • Pulmonary and Respiratory Medicine 762
  • Oncology 632
  • Radiation 189
  • Radiology, Nuclear Medicine and Imaging 382
Replace Masayuki Matsuo with:
Masayuki Matsuo Japan
Daniel Putzer Austria
G. Gademann Germany
Christoph Thilmann Germany
M. Wannenmacher Germany
Lars Stegger Germany
Ashkan A. Malayeri United States
Rita Engenhart‐Cabillic Germany
Peter Gibbs United Kingdom
Amita Shukla‐Dave United States
Jonathan T. Yang relative to Masayuki Matsuo Japan Masayuki Matsuo's profile →
Citations per field
00.5×3.1×
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015210
2 2013182
3 2018176
4 2018113
5 200763
6 201560
7 201850
8 201346
9 201946
10 201545
11 202345
12 201445
13 201345
14 201541
15 202038
16 202032
17 202130
18 201629
19 201828
20 201927

About Jonathan T. Yang

Jonathan T. Yang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (40 papers), Glioma Diagnosis and Treatment (34 papers), Management of metastatic bone disease (22 papers), Lung Cancer Research Studies (16 papers), Lung Cancer Treatments and Mutations (15 papers), Advanced Radiotherapy Techniques (12 papers), Cancer Diagnosis and Treatment (11 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Genetics (612 citations), Pulmonary and Respiratory Medicine (762 citations), Oncology (632 citations), Radiation (189 citations) and Radiology, Nuclear Medicine and Imaging (382 citations). Jonathan T. Yang has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Viviane Tabar, Kathryn Beal, Cameron Brennan, Zhigang Zhang, Robert J. Young, Yoshiya Yamada, Timothy A. Chan, Philip H. Gutin, Åse Ballangrud 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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