Jing Shen

193 total papers · 717 total citations
59 papers, 422 citations indexed

About

Jing Shen is a scholar working on Surgery, Genetics and Electrical and Electronic Engineering. According to data from OpenAlex, Jing Shen has authored 59 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 6 papers in Genetics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Jing Shen's work include Venous Thromboembolism Diagnosis and Management (5 papers), Membrane Separation Technologies (4 papers) and Diagnosis and Treatment of Venous Diseases (4 papers). Jing Shen is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (5 papers), Membrane Separation Technologies (4 papers) and Diagnosis and Treatment of Venous Diseases (4 papers). Jing Shen collaborates with scholars based in China, United States and Australia. Jing Shen's co-authors include Guiyin Xu, Meifang Zhu, Yunteng Cao, Jia Zhang, Chenyang Dang, Hua Wang, Xiao Liang, Bing Zhang, Fei Huang and Xian‐Xiang Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Scientific Reports.

In The Last Decade

Jing Shen

49 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Shen 107 92 73 34 32 59 422
A. Youssef 38 0.4× 81 0.9× 74 1.0× 19 0.6× 12 0.4× 43 477
Tianxiao Li 26 0.2× 77 0.8× 35 0.5× 35 1.0× 30 0.9× 24 380
Zonghao Liu 55 0.5× 82 0.9× 33 0.5× 11 0.3× 4 0.1× 37 396
Yuanhui Wu 54 0.5× 34 0.4× 209 2.9× 20 0.6× 2 0.1× 53 445
Claudio Larosa 22 0.2× 47 0.5× 29 0.4× 97 2.9× 5 0.2× 32 432
Narender Kumar Goel 11 0.1× 77 0.8× 53 0.7× 21 0.6× 14 0.4× 32 388
Tan Chen 73 0.7× 11 0.1× 67 0.9× 39 1.1× 4 0.1× 39 447
Ying Zhou 72 0.7× 56 0.6× 67 0.9× 19 0.6× 42 440
Yingying Yang 26 0.2× 19 0.2× 28 0.4× 42 1.2× 36 1.1× 56 480
Ángela M. Gutiérrez 45 0.4× 98 1.1× 21 0.3× 15 0.4× 3 0.1× 24 409

Countries citing papers authored by Jing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Shen

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