Fada Guan

1.3k citations
61 papers · 869 · h-index 15

Impact in

Papers in

Fada Guan

56 papers receiving 860 citations

Peers

Fada Guan
Comparison fields: 5 of 77
  • Radiation 449
  • Pulmonary and Respiratory Medicine 605
  • Radiology, Nuclear Medicine and Imaging 191
  • Developmental Neuroscience 11
  • Electrical and Electronic Engineering 116
Replace Dietrich W. M. Walsh with:
Dietrich W. M. Walsh Germany
Haibo Lin United States
Annalisa Patriarca France
Anthony Mascia United States
Consuelo Guardiola Spain
M. Pimpinella Italy
Laura Caplier France
Francesco Tommasino Italy
Emil Schüler United States
Chris Beltran United States
Fada Guan relative to Dietrich W. M. Walsh Germany Dietrich W. M. Walsh's profile →
Citations per field
00.5×3.5×
Dietrich W. M. Walsh · 1×
Citations per year

Countries citing papers authored by Fada Guan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fada Guan Line = papers co-authored together Fada Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015126
2 2015108
3 201775
4 201837
5 202436
6 201934
7 201432
8 201531
9 201928
10 202228
11 201726
12 202025
13 201523
14 201817
15 201816
16 202314
17 202314
18 202014
19 201913
20 202213

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 61 papers that have together received 869 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (41 papers), Advanced Radiotherapy Techniques (31 papers), Radiation Detection and Scintillator Technologies (14 papers), Radiation Effects in Electronics (9 papers), Nuclear Physics and Applications (5 papers), Boron Compounds in Chemistry (3 papers), Effects of Radiation Exposure (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Radiation (449 citations), Pulmonary and Respiratory Medicine (605 citations), Radiology, Nuclear Medicine and Imaging (191 citations), Developmental Neuroscience (11 citations) and Electrical and Electronic Engineering (116 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, Cancers and International Journal of Radiation Oncology*Biology*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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