Fada Guan
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
-
- Radiation Therapy and Dosimetry
Papers in
-
- Radiation Therapy and Dosimetry 46
- Radiation 46
- Advanced Radiotherapy Techniques 38
- Radiation Detection and Scintillator Technologies 19
- Nuclear Physics and Applications 6
- Co-authors
- Lawrence F. Bronk (19 shared papers)Radhe Mohan (20 shared papers)David R. Grosshans (16 shared papers)C Peeler (6 shared papers)U Titt (12 shared papers)Changran Geng (12 shared papers)Dragan Mirković (7 shared papers)Reza Taleei (4 shared papers)
- Journals
- Medical Physics (7 papers)Physics in Medicine and Biology (6 papers)Scientific Reports (4 papers)Radiation Research (2 papers)Cancers (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Fada Guan
55 papers receiving 821 citations
Peers
Comparison fields: 5 of 77
- Radiation 595
- Pulmonary and Respiratory Medicine 656
- Radiology, Nuclear Medicine and Imaging 235
- Electrical and Electronic Engineering 150
- Developmental Neuroscience 10
Countries citing papers authored by Fada Guan
This map shows the geographic impact of Fada Guan'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 Fada Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fada Guan more than expected).
Fields of papers citing papers by Fada Guan
This network shows the impact of papers produced by Fada Guan. 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 Fada Guan. The network helps show where Fada Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fada Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 124 | |
| 2 | 2015 | 105 | |
| 3 | 2017 | 73 | |
| 4 | 2018 | 36 | |
| 5 | 2019 | 32 | |
| 6 | 2014 | 32 | |
| 7 | 2015 | 31 | |
| 8 | 2024 | 30 | |
| 9 | 2019 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2022 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2015 | 23 | |
| 14 | 2018 | 17 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 12 |
About Fada Guan
Fada Guan is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Biomedical Engineering, having authored 60 papers that have together received 828 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (46 papers), Advanced Radiotherapy Techniques (38 papers), Radiation Detection and Scintillator Technologies (19 papers), Radiation Effects in Electronics (10 papers), Nuclear Physics and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Boron Compounds in Chemistry (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiation (595 citations), Pulmonary and Respiratory Medicine (656 citations), Radiology, Nuclear Medicine and Imaging (235 citations), Electrical and Electronic Engineering (150 citations) and Developmental Neuroscience (10 citations). Fada Guan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Lawrence F. Bronk, Radhe Mohan, David R. Grosshans, C Peeler, U Titt, Changran Geng, Dragan Mirković, Reza Taleei, Wenhua Cao and Clifford Stephan. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Scientific Reports, Radiation Research and Cancers.
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.