Jason Xie

1.3k citations
24 papers · 943 indexed · h-index 12
Topics
Endometrial and Cervical Cancer Treatments (14 papers)Advanced Radiotherapy Techniques (9 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Partner nations
CanadaSwedenAustralia

In The Last Decade

Jason Xie

24 papers receiving 904 citations

Peers

Jason Xie
Comparison fields: 5 of 52
  • Radiology, Nuclear Medicine and Imaging 405
  • Radiation 311
  • Computer Networks and Communications 285
  • Obstetrics and Gynecology 270
  • Pulmonary and Respiratory Medicine 135
Replace Ivan Buzurović with:
Ivan Buzurović United States
Thomas Krieger Germany
E Martin United States
C. Jeong South Korea
Shidong Tong United States
Youngyih Han South Korea
Fadila Zerka Netherlands
R. Berenguer Spain
Siri Willems Belgium
Mete Yeğiner Türkiye
Jason Xie relative to Ivan Buzurović United States Ivan Buzurović's profile →
Citations per field
00.5×11.4×
Ivan Buzurović · 1×
Citations per year

Countries citing papers authored by Jason Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jason Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Xie. A scholar is included among the top collaborators of Jason Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Xie. Jason Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 6
3 114
4 1
5 11
6 11
7 8
8 2
9 8
10 38
11 52
12 3
13 45
14 49
15 23
16 20
17 96
18 61
19 93
20 3

About Jason Xie

Jason Xie is a scholar working on Obstetrics and Gynecology, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 943 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (14 papers), Advanced Radiotherapy Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Radiation (311 citations), Obstetrics and Gynecology (270 citations) and Radiology, Nuclear Medicine and Imaging (405 citations). Jason Xie has collaborated with scholars based in Canada, Sweden and Australia. Frequent co-authors include R. Talpade, Mingyan Liu, A. McAuley, Michael Milosevic, Anthony Fyles, David A. Jaffray, H. Rehbinder, Karen Lim, James Stewart and Joanne Moseley. Their work appears in journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Medical 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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