Ying Shen

1.3k citations
62 papers · 716 indexed · h-index 13
Topics
Transcranial Magnetic Stimulation Studies (23 papers)Stroke Rehabilitation and Recovery (13 papers)Functional Brain Connectivity Studies (9 papers)
Journals
SHILAP Revista de lepidopterologíaNature NeuroscienceClinical Infectious Diseases
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Ying Shen

52 papers receiving 709 citations

Peers

Ying Shen
Comparison fields: 5 of 110
  • Neurology 242
  • Cognitive Neuroscience 231
  • Cellular and Molecular Neuroscience 135
  • Rehabilitation 124
  • Molecular Biology 116
Replace Kenichi Sugawara with:
Kenichi Sugawara Japan
Federica Bertolucci Italy
Suk Yun Kang South Korea
Jean‐Charles Lamy France
Xu‐Yun Hua China
Régis Gemerasca Mestriner Brazil
Rose‐Marie Marié France
Jeffery A. Boychuk United States
Maximilian J. Wessel Switzerland
Daofen Chen United States
Ying Shen relative to Kenichi Sugawara Japan Kenichi Sugawara's profile →
Citations per field
00.5×5.8×
Kenichi Sugawara · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
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13 1
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15 1
16 46
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Prevalence of hypertension in Chinese population aged over 40 and subgroup of survival stroke patients.
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Analysis of spatial scale in GISc
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About Ying Shen

Ying Shen is a scholar working on Neurology, Rehabilitation and Cognitive Neuroscience, having authored 62 papers that have together received 716 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (23 papers), Stroke Rehabilitation and Recovery (13 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Neurology (242 citations), Rehabilitation (124 citations) and Cognitive Neuroscience (231 citations). Ying Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ti‐Fei Yuan, Narendrakumar Ramanan, David J. Linden, Thomas Lemberger, Sarah Sarsfield, Günther Schütz, David D. Ginty, Chuan Guo, Tong Wang and Nawab Ali. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Clinical Infectious Diseases.

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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