Xiaobo Chen

69 papers receiving 1.4k citations

Xiaobo Chen's Hit Papers

MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer 2023 · 138 citations
1380+1+2Years since publication4080120

Peers

Xiaobo Chen
Comparison fields: 5 of 139
  • Biomaterials 219
  • Polymers and Plastics 135
  • Electronic, Optical and Magnetic Materials 167
  • Radiology, Nuclear Medicine and Imaging 134
  • Materials Chemistry 306
Replace Shoko Ono with:
Shoko Ono Japan
Haitao Jiang China
Jihui Li China
Yiqing Chen China
Jian Ruan China
Peng Xu China
Lei Tian China
Di Shi China
Jianhua Wang China
Xiaobo Chen relative to Shoko Ono Japan Shoko Ono's profile →
Citations per field
00.5×4.3×
Shoko Ono · 1×
Citations per year

Countries citing papers authored by Xiaobo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobo Chen, 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 Xiaobo Chen Line = papers co-authored together Xiaobo Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005400
2 2009210
3
MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer
Hit paper breakdown →
2023138
4 2006110
5 202245
6 202031
7 201631
8 201124
9 201723
10 201823
11 201020
12 201619
13 202219
14 201619
15 201618
16 202418
17 201816
18 201516
19 201416
20 202115

About Xiaobo Chen

Xiaobo Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Cancer Research, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Mesenchymal stem cell research (4 papers), Carbon Nanotubes in Composites (3 papers), Folate and B Vitamins Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers), Breast Cancer Treatment Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biomaterials (219 citations), Polymers and Plastics (135 citations), Electronic, Optical and Magnetic Materials (167 citations), Radiology, Nuclear Medicine and Imaging (134 citations) and Materials Chemistry (306 citations). Xiaobo Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiqiang Ding, Dmitriy A. Dikin, L. Calabri, Rodney S. Ruoff, J. P. Quintana, Eyal Zussman, K. Kohlhaas, Jing Deng, Yuhang Miao and Caifeng Li. Their work appears in journals such as International Journal of Surgery, Journal of Translational Medicine, Journal of Magnetic Resonance Imaging, Insights into Imaging and European Radiology.

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.

Explore authors with similar magnitude of impact