Shu Shen

831 total citations
47 papers, 542 citations indexed

About

Shu Shen is a scholar working on Surgery, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Shu Shen has authored 47 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 16 papers in Hepatology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Shu Shen's work include Congenital Anomalies and Fetal Surgery (15 papers), Parasitic infections in humans and animals (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (11 papers). Shu Shen is often cited by papers focused on Congenital Anomalies and Fetal Surgery (15 papers), Parasitic infections in humans and animals (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (11 papers). Shu Shen collaborates with scholars based in China and Taiwan. Shu Shen's co-authors include Yiwen Qiu, Xianwei Yang, Wentao Wang, Junjie Kong, Wentao Wang, Lvnan Yan, Bin Huang, Lünan Yan, Tao Wang and Zifei Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shu Shen

46 papers receiving 531 citations

Peers

Shu Shen
Comparison fields: 5 of 69
  • Surgery 268
  • Pulmonary and Respiratory Medicine 163
  • Hepatology 146
  • Pathology and Forensic Medicine 138
  • Molecular Biology 112
Replace Xianwei Yang with:
Xianwei Yang China
Roxana Zaharie Romania
Ananya Pongpaibul Thailand
Hueseyin Bektas Germany
Noriko Kinukawa Japan
Bernd Hinrichs Germany
Wai‐Key Yuen Hong Kong
Tse‐Ching Chen Taiwan
Sowmya Narayanan United States
Kazuhiko Nakagami Japan
Xianwei Yang China View profile →
Citations per field, relative to Shu Shen
Shu Shen · 1×
Citations per year, relative to Shu Shen
Shu Shen · 1×

Countries citing papers authored by Shu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Shen. A scholar is included among the top collaborators of Shu Shen 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 Shu Shen. Shu Shen 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
# Work Indexed citations
1 0
2 1
3
An Excretory Protein of Echinococcus multilocularis Inhibits Complement Classical Pathway Activation
2
4 56
5 10
6 4
7 5
8 6
9 12
10 1
11 8
12 2
13 15
14 8
15 11
16 17
17 10
18 11
19 15
20 14

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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