Jun Duan

121 papers receiving 1.8k citations

Peers

Jun Duan
Comparison fields: 5 of 142
  • Radiation 498
  • Obstetrics and Gynecology 173
  • Analytical Chemistry 200
  • Atmospheric Science 298
  • Health, Toxicology and Mutagenesis 207
Replace Mark Bydder with:
Mark Bydder United States
Yoichiro Matsumoto Japan
W. Straube United States
P. Wyss Switzerland
R.H. Morris United Kingdom
Tsutomu Saito Japan
Lucian Wielopolski United States
Tatiana D. Khokhlova United States
Pan Li China
David Hart United States
Jun Duan relative to Mark Bydder United States Mark Bydder's profile →
Citations per field
00.5×10×12.5×
Mark Bydder · 1×
Citations per year

Countries citing papers authored by Jun Duan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Duan. 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 Jun Duan. The network helps show where Jun Duan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004103
2 201886
3 200273
4 200663
5 202061
6 200659
7 200357
8 200753
9 201851
10
Improved prediction of myelotoxicity using a patient-specific imaging dose estimate for non-marrow-targeting (90)Y-antibody therapy.
200251
11 200349
12 200148
13 201844
14 201943
15 201542
16 201838
17 201536
18 202234
19 202234
20 201833

About Jun Duan

Jun Duan is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Atmospheric Science and Spectroscopy, having authored 129 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (38 papers), Atmospheric chemistry and aerosols (21 papers), Radiation Therapy and Dosimetry (17 papers), Atmospheric Ozone and Climate (16 papers), Medical Imaging Techniques and Applications (15 papers), Spectroscopy and Laser Applications (10 papers), Laser-induced spectroscopy and plasma (9 papers) and Endometrial and Cervical Cancer Treatments (8 papers). The work is most often cited by research in Radiation (498 citations), Obstetrics and Gynecology (173 citations), Analytical Chemistry (200 citations), Atmospheric Science (298 citations) and Health, Toxicology and Mutagenesis (207 citations). Jun Duan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sui Shen, I Brezovich, John B. Fiveash, Richard A. Popple, Prem N. Pareek, Robert Y. Kim, Min Qin, Leimin Deng, Lianbo Guo and Pinhua Xie. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics, Medical dosimetry and Atmospheric measurement techniques.

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.

Explore authors with similar magnitude of impact