Li Yao

4.4k citations
90 papers · 3.4k indexed · h-index 32
Topics
Nerve injury and regeneration (16 papers)Neuroscience and Neural Engineering (11 papers)Planarian Biology and Electrostimulation (10 papers)
Journals
ScienceNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Li Yao

84 papers receiving 3.4k citations

Peers

Li Yao
Comparison fields: 5 of 135
  • Cellular and Molecular Neuroscience 1.4k
  • Biomedical Engineering 1.1k
  • Biomaterials 945
  • Molecular Biology 663
  • Materials Chemistry 651
Replace Stefan Przyborski with:
Stefan Przyborski United Kingdom
Daping Quan China
Fabrizio Gelain Italy
Yun Qian China
Ana Paula Pêgo Portugal
Šárka Kubinová Czechia
Liumin He China
Ryan J. Gilbert United States
Nic D. Leipzig United States
Matthew R. MacEwan United States
Li Yao relative to Stefan Przyborski United Kingdom Stefan Przyborski's profile →
Citations per field
00.5×1.5×2.1×
Stefan Przyborski · 1×
Citations per year

Countries citing papers authored by Li Yao

Since Specialization
Citations

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

Fields of papers citing papers by Li Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Yao. A scholar is included among the top collaborators of Li Yao 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 Li Yao. Li Yao 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
1 0
2 9
3 4
4 4
5 1
6 2
7 0
8 1
9 7
10 1
11 6
12 5
13 27
14 34
15 19
16 24
17 13
18
Value of dual-phase ~(99)Tc~m-MIBI scintigraphy and SPECT/CT in the localization diagnosis of secondary hyperparathyroidism
1
19 55
20 323

About Li Yao

Li Yao is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 90 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (16 papers), Neuroscience and Neural Engineering (11 papers) and Planarian Biology and Electrostimulation (10 papers). The work is most often cited by research in Developmental Neuroscience (377 citations), Cellular and Molecular Neuroscience (1.4k citations) and Biomaterials (945 citations). Li Yao has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Abhay Pandit, Anthony J. Windebank, William T. Daly, Dimitrios I. Zeugolis, Colin McCaig, Yongchao Li, Yongchao Li, Min Zhao, Marc A. Hillmyer and Frank S. Bates. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

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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