Dong Xie

8.0k citations
259 papers · 5.4k indexed · 1 hit paper · h-index 35
Topics
Lung Cancer Diagnosis and Treatment (88 papers)Lung Cancer Treatments and Mutations (54 papers)Radiomics and Machine Learning in Medical Imaging (28 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Dong Xie

240 papers receiving 5.3k citations

Hit Papers

Melatonin-stimulated MSC-derived exosomes improve diabeti...20202026202220242020100200300

Peers

Dong Xie
Comparison fields: 5 of 172
  • Pulmonary and Respiratory Medicine 2.4k
  • Molecular Biology 1.3k
  • Oncology 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Surgery 788
Replace Sunil Singhal with:
Sunil Singhal United States
Takashi Ohtsuka Japan
Takeshi Nagayasu Japan
William Wallace United Kingdom
Takashi Hirai Japan
Ting Ye China
Hye‐Jeong Lee South Korea
Vivek Verma United States
Rong Yin China
Victor A. Ferrari United States
Dong Xie relative to Sunil Singhal United States Sunil Singhal's profile →
Citations per field
00.5×1.5×
Sunil Singhal · 1×
Citations per year

Countries citing papers authored by Dong Xie

Since Specialization
Citations

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

Fields of papers citing papers by Dong Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Xie. A scholar is included among the top collaborators of Dong 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 Dong Xie. Dong 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 0
2 0
3 0
4 4
5 2
6 1
7 5
8 4
9 0
10 8
11 1
12 9
13 3
14 6
15 36
16 3
17 15
18 18
19 8
20 142

About Dong Xie

Dong Xie is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Oncology, having authored 259 papers that have together received 5.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (88 papers), Lung Cancer Treatments and Mutations (54 papers) and Radiomics and Machine Learning in Medical Imaging (28 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.4k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Microbiology (32 citations). Dong Xie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chang Chen, Gening Jiang, Yunlang She, Yijiu Ren, Chenyang Dai, Lili Yang, Huikang Xie, Jiajun Deng, Longqing Wang and Ye Cheng. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Journal of Clinical Oncology.

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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