Weixia Chen

1.9k citations
52 papers · 919 · h-index 15

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Pharmacology top 10%
    • Fungal Biology and Applications

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 11
    • Liver Disease and Transplantation 2

Weixia Chen

45 papers receiving 902 citations

Peers

Weixia Chen
Comparison fields: 5 of 106
  • Hepatology 224
  • Pharmacology 102
  • Health Informatics 8
  • Aquatic Science 40
  • Radiology, Nuclear Medicine and Imaging 109
Replace Shengdi Wu with:
Shengdi Wu China
Yoshiko Nakamura Japan
Surabhi Bajpai India
Kanji Tsuchimoto Japan
Hongying Pan China
Jacques Bauer Switzerland
Young Jae Kim South Korea
Masaaki Toyama Japan
Karin Cederbrant Sweden
Weixia Chen relative to Shengdi Wu China Shengdi Wu's profile →
Citations per field
00.5×10×13.3×
Shengdi Wu · 1×
Citations per year

Countries citing papers authored by Weixia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weixia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 2013102
3 202099
4 202255
5 201845
6 201045
7 202044
8 201638
9 201937
10 201229
11 200029
12 200425
13 201720
14 201618
15 202214
16 202313
17 201413
18 202211
19 202211
20 200810

About Weixia Chen

Weixia Chen is a scholar working on Hepatology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 52 papers that have together received 919 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Medical Imaging and Pathology Studies (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer-related molecular mechanisms research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (224 citations), Pharmacology (102 citations), Health Informatics (8 citations), Aquatic Science (40 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Weixia Chen has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Weiyun Zhang, Wen-Bin Shen, Bin Song, Weilin Yang, Zhenlin Li, Shuang Zhao, Zixing Huang, Lihong Zhao, Bo Li and Yinghui Ge. Their work appears in journals such as British journal of surgery, Journal of the American College of Radiology, Abdominal Radiology, World Journal of Gastroenterology and European Journal of 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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