Shu Shen

62 total papers · 824 total citations
47 papers, 530 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 530 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 Tao Wang 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

45 papers receiving 519 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shu Shen 264 158 144 133 107 47 530
Émilie Uldry 268 1.0× 107 0.7× 186 1.3× 88 0.7× 98 0.9× 50 596
Roxana Zaharie 318 1.2× 116 0.7× 79 0.5× 98 0.7× 109 1.0× 27 618
Shee‐Chan Lin 291 1.1× 185 1.2× 151 1.0× 43 0.3× 57 0.5× 39 575
Nunzia Farella 230 0.9× 81 0.5× 307 2.1× 136 1.0× 54 0.5× 32 616
Salima Haque 260 1.0× 148 0.9× 54 0.4× 105 0.8× 48 0.4× 32 531
Gülen Doğusoy 265 1.0× 165 1.0× 66 0.5× 36 0.3× 68 0.6× 58 560
Kimiya Sato 168 0.6× 170 1.1× 42 0.3× 63 0.5× 106 1.0× 65 534
Shusaku Ohira 387 1.5× 80 0.5× 116 0.8× 52 0.4× 147 1.4× 41 612
Keiichi Seki 130 0.5× 147 0.9× 167 1.2× 46 0.3× 103 1.0× 45 588
Muhammet Akyüz 274 1.0× 76 0.5× 97 0.7× 102 0.8× 19 0.2× 47 454

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

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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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2026