Ling Diao

511 citations
8 papers · 401 · h-index 6

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Nerve injury and regeneration

Papers in

Ling Diao

7 papers receiving 395 citations

Peers

Ling Diao
Comparison fields: 5 of 57
  • Neurology 196
  • Cellular and Molecular Neuroscience 200
  • Neurology 53
  • Cell Biology 69
  • Physiology 65
Replace Francesco Giribaldi with:
Francesco Giribaldi Italy
Milena Cioroch United Kingdom
Anna L. Gray United Kingdom
Zuying Chai China
Melissa A. Hayes United States
Elisabeth Dirren Switzerland
Ching‐Chieh Chou United States
Joshua D. Foster United Kingdom
Steven Havlicek Germany
Akio Akagi Japan
Ling Diao relative to Francesco Giribaldi Italy Francesco Giribaldi's profile →
Citations per field
00.5×1.5×1.9×
Francesco Giribaldi · 1×
Citations per year

Countries citing papers authored by Ling Diao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2010239
2 201064
3 200454
4 202318
5 200913
6 202411
7 20192
8 20250

About Ling Diao

Ling Diao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Rehabilitation, Pharmaceutical Science and Surgery, having authored 8 papers that have together received 401 indexed citations. Recurring topics across this work include Retinal Development and Disorders (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Wound Healing and Treatments (2 papers), Photoreceptor and optogenetics research (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Retinal Diseases and Treatments (1 paper), Silk-based biomaterials and applications (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (196 citations), Cellular and Molecular Neuroscience (200 citations), Neurology (53 citations), Cell Biology (69 citations) and Physiology (65 citations). Ling Diao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ning Tian, Manuela Polydoro, Sachin Makani, Andrew M. Williams, Sreeganga S. Chandra, Esther H. Nie, Pablo E. Castillo, Megumi Morimoto‐Tomita, Vladimir L. Buchman and Shigang He. Their work appears in journals such as Journal of Biomaterials Science Polymer Edition, Neuron, Proceedings of the National Academy of Sciences, Developmental Neurobiology and Journal of Nanobiotechnology.

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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