Ying Shen

29 total papers · 597 total citations
21 papers, 387 citations indexed

About

Ying Shen is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Urology. According to data from OpenAlex, Ying Shen has authored 21 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Urology. Recurrent topics in Ying Shen's work include Acute Ischemic Stroke Management (6 papers), Pelvic floor disorders treatments (4 papers) and Urinary Bladder and Prostate Research (4 papers). Ying Shen is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Pelvic floor disorders treatments (4 papers) and Urinary Bladder and Prostate Research (4 papers). Ying Shen collaborates with scholars based in China, United States and Germany. Ying Shen's co-authors include Baohua Chao, Mei Li, Longde Wang, Lei Cao, Wei Yue, Yuanli Liu, Tianjia Guan, Xiaoshuang Xia, Jian Guo and Jing Ma and has published in prestigious journals such as Neurology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ying Shen

17 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Ying Shen 196 86 77 60 40 21 387
Alis Heshmatollah 142 0.7× 72 0.8× 56 0.7× 63 1.1× 69 1.7× 20 439
Jing Wu 186 0.9× 53 0.6× 70 0.9× 61 1.0× 47 1.2× 16 399
Changqing Zhan 158 0.8× 171 2.0× 47 0.6× 127 2.1× 30 0.8× 20 382
Mohammad Taghi Farzadfard 226 1.2× 70 0.8× 131 1.7× 73 1.2× 67 1.7× 23 391
Roger X. You 207 1.1× 136 1.6× 24 0.3× 147 2.5× 61 1.5× 9 385
Xintong Liu 79 0.4× 58 0.7× 64 0.8× 49 0.8× 31 0.8× 32 410
Ti‐Kai Lee 233 1.2× 147 1.7× 44 0.6× 155 2.6× 64 1.6× 22 430
Jamie I. Verhoeven 184 0.9× 59 0.7× 57 0.7× 79 1.3× 78 1.9× 12 417
Alice Schneider 105 0.5× 56 0.7× 64 0.8× 38 0.6× 43 1.1× 32 383
João José Freitas de Carvalho 198 1.0× 114 1.3× 112 1.5× 83 1.4× 55 1.4× 14 439

Countries citing papers authored by Ying Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shen

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