Xiaoshan Chen

403 citations
37 papers · 198 · h-index 8

Impact in

Papers in

Xiaoshan Chen

32 papers receiving 195 citations

Peers

Xiaoshan Chen
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 69
  • Aging 5
  • Hepatology 22
  • Cancer Research 23
  • Gastroenterology 8
Replace David Wan with:
David Wan United States
Manuel Stritt Switzerland
Connie M. Sears United States
Seyed Ali Mirshahvalad Canada
Cong Lei China
Liliana Streba Romania
Kyoung Min Moon South Korea
Xiaoshan Chen relative to David Wan United States David Wan's profile →
Citations per field
00.5×1.5×2.5×
David Wan · 1×
Citations per year

Countries citing papers authored by Xiaoshan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202223
2 201922
3 201919
4 202218
5 202318
6 20199
7 20229
8 20247
9 20217
10 20226
11 20226
12
[Clinical efficacy observation of acupuncture at suliao (GV 25) on improving regain of consciousness from coma in severe craniocerebral injury].
20146
13 20245
14 20245
15 20234
16 20234
17 20224
18 20224
19 20243
20 20223

About Xiaoshan Chen

Xiaoshan Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Surgery, having authored 37 papers that have together received 198 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Peptidase Inhibition and Analysis (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), MRI in cancer diagnosis (4 papers), Protease and Inhibitor Mechanisms (4 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (69 citations), Aging (5 citations), Hepatology (22 citations), Cancer Research (23 citations) and Gastroenterology (8 citations). Xiaoshan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengxiang Rao, Mengsu Zeng, Yan Hu, Jiang Liu, Kai Liu, Jianjun Zhou, Qingyong Hu, Mengsu Zeng, Dan Zeng and Wentao Wang. Their work appears in journals such as Abdominal Radiology, Cancer Biotherapy and Radiopharmaceuticals, European Journal of Nuclear Medicine and Molecular Imaging, Clinical & Translational Oncology and Academic 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.

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