Shuling Chen

4.3k citations
108 papers · 2.9k indexed · 1 hit paper · h-index 30

Shuling Chen

100 papers receiving 2.9k citations

Hit Papers

The prognostic significance of the prognostic nutritional...3342014202620182022100200300

Peers

Shuling Chen
Comparison fields: 5 of 117
  • Hepatology 990
  • Radiology, Nuclear Medicine and Imaging 856
  • Cancer Research 500
  • Health Informatics 39
  • Oncology 764
Replace Xiangcheng Li with:
Xiangcheng Li China
Daniel M. Aebersold Switzerland
Tae Wook Kang South Korea
Jason Chia‐Hsien Cheng Taiwan
Satoru Hagiwara Japan
Luca Di Tommaso Italy
Lambros Tselikas France
Shi‐Ting Feng China
Ben Vainer Denmark
Yi Wei China
Shuling Chen relative to Xiangcheng Li China Xiangcheng Li's profile →
Citations per field
00.5×1.5×2.0×
Xiangcheng Li · 1×
Citations per year

Countries citing papers authored by Shuling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 202333
5 202313
6 20239
7 20232
8 202253
9 2022111
10 20226
11 20225
12 202198
13 202146
14 202131
15 202042
16 202059
17 2019137
18 20191
19 2019159
20
Pretreatment prediction of Immunoscore in hepatocellular cancer: a radiomics-based clinical nomogram based on Gd- EOB-DTPA enhanced-MRI
20181

About Shuling Chen

Shuling Chen is a scholar working on Hepatology, Health Informatics and Cancer Research, having authored 108 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (39 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers), Liver Disease Diagnosis and Treatment (11 papers), Gastric Cancer Management and Outcomes (7 papers), Cancer, Lipids, and Metabolism (6 papers), MRI in cancer diagnosis (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Hepatology (990 citations), Radiology, Nuclear Medicine and Imaging (856 citations) and Cancer Research (500 citations). Shuling Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ming Kuang, Kaiyu Sun, Jianbo Xu, Yulong He, Sui Peng, Guanghua Li, Zhenwei Peng, Xiaoyan Xie, Wei Wang and Shi‐Ting Feng. Their work appears in journals such as European Radiology, BMC Cancer, Hepatology, Frontiers in Oncology and International Journal of Hyperthermia.

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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