Tun Li

2.3k citations
17 papers · 1.1k · 2 hit papers · h-index 11

Impact in

Papers in

Tun Li

17 papers receiving 1.0k citations

Hit Papers

The Mechanosensitive Ion Channel Piezo Inhibits Axon Regeneration 2019 · 146 citations
1460+5+11Years since publication100200300400500

Peers

Tun Li
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 588
  • Aging 27
  • Developmental Neuroscience 55
  • Cognitive Neuroscience 226
  • Molecular Biology 543
Replace James P. Clement with:
James P. Clement India
Katharine R. Smith United States
Margit Henry Germany
Kimie Niimi Japan
Alon Shamir Israel
Kally C. O’Reilly United States
Humberto Gutiérrez United Kingdom
Nam‐Kyung Yu South Korea
Hiroshi Udo Japan
Tzyy‐Nan Huang Taiwan
Tun Li relative to James P. Clement India James P. Clement's profile →
Citations per field
00.5×1.5×
James P. Clement · 1×
Citations per year

Countries citing papers authored by Tun Li

Since Specialization
Citations

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

Fields of papers citing papers by Tun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation
Hit paper breakdown →
2009529
2
The Mechanosensitive Ion Channel Piezo Inhibits Axon Regeneration
Hit paper breakdown →
2019146
3 201477
4 201674
5 202244
6 201633
7 198632
8 198629
9 201825
10
Hu, W. et al. Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation. Nature Neurosci. 12, 996-1002
200921
11 201919
12 20227
13 20236
14 20195
15 20233
16 19922
17 20182

About Tun Li

Tun Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Urology and Cognitive Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (3 papers), Hair Growth and Disorders (3 papers), Neural dynamics and brain function (3 papers), Nerve injury and regeneration (2 papers), Neuroscience and Neural Engineering (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (588 citations), Aging (27 citations), Developmental Neuroscience (55 citations), Cognitive Neuroscience (226 citations) and Molecular Biology (543 citations). Tun Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yousheng Shu, Mingpo Yang, Cuiping Tian, Wenqin Hu, Han Hou, Yuh Nung Jan, Lily Yeh Jan, Katherine L. Thompson-Peer, Myung G. Lee and Win L. Chiou. Their work appears in journals such as Genes & Development, International Journal of Molecular Sciences, Neuron, Nonlinear Dynamics and PLoS Biology.

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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