Dongyan Shi

60 total papers · 1.5k total citations
30 papers, 409 citations indexed

About

Dongyan Shi is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Dongyan Shi has authored 30 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 11 papers in Hepatology and 8 papers in Surgery. Recurrent topics in Dongyan Shi's work include Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Dongyan Shi is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Dongyan Shi collaborates with scholars based in China, United States and United Kingdom. Dongyan Shi's co-authors include ­Jun Li­, Jiaojiao Xin, Tianzhou Wu, Lanjuan Li, Xi Liang, Changyou Gao, Wei Yuan, Qiang Zheng, Dan Shen and Chen Zong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and Scientific Reports.

In The Last Decade

Dongyan Shi

27 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Dongyan Shi 126 112 111 110 86 30 409
Daniel Zahner 117 0.9× 142 1.3× 108 1.0× 67 0.6× 30 0.3× 18 405
Yongcheng Hu 53 0.4× 279 2.5× 63 0.6× 74 0.7× 82 1.0× 30 447
D Castelli 110 0.9× 98 0.9× 55 0.5× 91 0.8× 156 1.8× 24 464
Roberto Roig 146 1.2× 93 0.8× 52 0.5× 121 1.1× 124 1.4× 24 426
M. Joussemet 87 0.7× 60 0.5× 40 0.4× 33 0.3× 151 1.8× 27 425
Winston T. K. Cheng 33 0.3× 70 0.6× 193 1.7× 19 0.2× 46 0.5× 22 453
Karin Janetzko 70 0.6× 46 0.4× 39 0.4× 32 0.3× 55 0.6× 26 483
Li Tan 72 0.6× 31 0.3× 163 1.5× 19 0.2× 26 0.3× 33 374
Liang Ma 83 0.7× 71 0.6× 89 0.8× 53 0.5× 24 0.3× 23 483
Emmanuel Albuquerque‐Souza 46 0.4× 37 0.3× 126 1.1× 16 0.1× 37 0.4× 22 488

Countries citing papers authored by Dongyan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dongyan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyan Shi. A scholar is included among the top collaborators of Dongyan Shi 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 Dongyan Shi. Dongyan Shi 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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