Hui Ye

977 citations
51 papers · 713 · h-index 16

Impact in

    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments

Papers in

Hui Ye

44 papers receiving 706 citations

Peers

Hui Ye
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 356
  • Neurology 100
  • Biophysics 48
  • Cognitive Neuroscience 134
  • Physiology 30
Replace Fei Deng with:
Fei Deng China
Chaim Glück Switzerland
Bo Shui United States
Brad Fortune United States
Lianghong Zheng China
David J. Margolis United States
Jaepyeong Cha United States
Jie‐Min Jia China
Tomokazu Sato United States
Manuel Simonutti France
Hui Ye relative to Fei Deng China Fei Deng's profile →
Citations per field
00.5×8.5×
Fei Deng · 1×
Citations per year

Countries citing papers authored by Hui Ye

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui Ye Line = papers co-authored together Hui Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201583
2 201561
3 200853
4 201543
5 201739
6 201035
7 200633
8 202229
9 201829
10 200728
11 201026
12 201920
13
The involvement and possible mechanism of NR4A1 in chondrocyte apoptosis during osteoarthritis.
201719
14 200917
15 201716
16 202016
17 202014
18 202114
19 201513
20 201813

About Hui Ye

Hui Ye is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 51 papers that have together received 713 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (19 papers), Neuroscience and Neuropharmacology Research (6 papers), Muscle activation and electromyography studies (6 papers), Neurological disorders and treatments (5 papers), Planarian Biology and Electrostimulation (5 papers), Transcranial Magnetic Stimulation Studies (5 papers), Photoreceptor and optogenetics research (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (356 citations), Neurology (100 citations), Biophysics (48 citations), Cognitive Neuroscience (134 citations) and Physiology (30 citations). Hui Ye has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Peter L. Carlen, Shirin Jalini, Michael G. Fehlings, Austen Curcuru, Hillel J. Chiel, Douglas W. Morton, Yan Li, Lijing Bai, Yumei Huang and Pengyang Li. Their work appears in journals such as Scientific Reports, Journal of NeuroEngineering and Rehabilitation, Journal of Neural Engineering, The FASEB Journal and Journal of Neuroscience.

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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