Tie Li

408 citations
11 papers · 210 · h-index 6

Impact in

    • Botulinum Toxin and Related Neurological Disorders
    • Transcranial Magnetic Stimulation Studies
    • Nerve Injury and Rehabilitation

Papers in

    • Nerve Injury and Rehabilitation 8
    • Reconstructive Surgery and Microvascular Techniques 1
    • Botulinum Toxin and Related Neurological Disorders 3
    • Transcranial Magnetic Stimulation Studies 2

Tie Li

11 papers receiving 206 citations

Peers

Tie Li
Comparison fields: 5 of 32
  • Neurology 29
  • Surgery 128
  • Cellular and Molecular Neuroscience 56
  • Neurology 34
  • Rehabilitation 14
Replace Juntao Feng with:
Juntao Feng China
Wen-Dong Xu China
Yan‐Qun Qiu China
Nahoko Iwakura Japan
Ruidong Cheng China
Dario Pfyffer Switzerland
Kiril Kiprovski United States
Halil Güllüoğlu Türkiye
Jie Lao China
Benn Smith United States
Tie Li relative to Juntao Feng China Juntao Feng's profile →
Citations per field
00.5×1.5×
Juntao Feng · 1×
Citations per year

Countries citing papers authored by Tie Li

Since Specialization
Citations

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

Fields of papers citing papers by Tie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tie Li, 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 Tie Li Line = papers co-authored together Tie Li links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017132
2 201522
3 201820
4 201613
5 201911
6 20245
7 20233
8 20241
9 20241
10 20231
11 20211

About Tie Li

Tie Li is a scholar working on Surgery, Neurology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology, having authored 11 papers that have together received 210 indexed citations. Recurring topics across this work include Nerve Injury and Rehabilitation (8 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Nerve injury and regeneration (2 papers), Spinal Cord Injury Research (2 papers), Peripheral Nerve Disorders (1 paper), Stroke Rehabilitation and Recovery (1 paper) and Reconstructive Surgery and Microvascular Techniques (1 paper). The work is most often cited by research in Neurology (29 citations), Surgery (128 citations), Cellular and Molecular Neuroscience (56 citations), Neurology (34 citations) and Rehabilitation (14 citations). Tie Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian‐Guang Xu, Xu‐Yun Hua, Yudong Gu, Mou‐Xiong Zheng, Juntao Feng, Yundong Shen, Ye-Chen Lu, Naiqing Zhao, Wen-Dong Xu and Wendong Xu. Their work appears in journals such as Acta Neurochirurgica, Plastic & Reconstructive Surgery, Frontiers in Neurology, Neuroscience Bulletin and Journal of Neurosurgery Spine.

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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