Jun Duan

119 papers receiving 1.7k citations

Peers

Jun Duan
Comparison fields: 5 of 141
  • Radiation 480
  • Obstetrics and Gynecology 167
  • Analytical Chemistry 197
  • Atmospheric Science 294
  • Health, Toxicology and Mutagenesis 206
Replace Mark Bydder with:
Mark Bydder United States
Yoichiro Matsumoto Japan
P. Wyss Switzerland
R.H. Morris United Kingdom
Lucian Wielopolski United States
Tsutomu Saito Japan
Pan Li China
David Hart United States
N. M. Spyrou United Kingdom
Roberto Cesareo Italy
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Citations per field
00.5×12.3×
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 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200498
2 201885
3 200269
4 202060
5 200660
6 200657
7 200354
8 200752
9 201850
10 200348
11
Improved prediction of myelotoxicity using a patient-specific imaging dose estimate for non-marrow-targeting (90)Y-antibody therapy.
200247
12 200147
13 201943
14 201541
15 201841
16 201838
17 201536
18 202234
19 202234
20 201832

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 127 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (37 papers), Atmospheric chemistry and aerosols (21 papers), Atmospheric Ozone and Climate (16 papers), Radiation Therapy and Dosimetry (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 (480 citations), Obstetrics and Gynecology (167 citations), Analytical Chemistry (197 citations), Atmospheric Science (294 citations) and Health, Toxicology and Mutagenesis (206 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, Pinhua Xie and Lianbo Guo. 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 chemistry and physics.

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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