David Y. Lin

448 citations
7 papers · 358 · h-index 4

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 4
    • Silk-based biomaterials and applications 1
    • biodegradable polymer synthesis and properties 1
    • Conducting polymers and applications 2

David Y. Lin

7 papers receiving 349 citations

Peers

David Y. Lin
Comparison fields: 5 of 44
  • Biomaterials 235
  • Cellular and Molecular Neuroscience 196
  • Developmental Neuroscience 16
  • Biomedical Engineering 175
  • Polymers and Plastics 43
Replace Stanley Samuel with:
Stanley Samuel United States
Suradip Das United States
Marie Hronik‐Tupaj United States
Siliang Wu United States
Yunyun Liang China
Devan L. Puhl United States
Anthony R. D’Amato United States
Caroline S. Taylor United Kingdom
T. B. Bini Singapore
Concepción García‐Rama Spain
David Y. Lin relative to Stanley Samuel United States Stanley Samuel's profile →
Citations per field
00.5×1.5×
Stanley Samuel · 1×
Citations per year

Countries citing papers authored by David Y. Lin

Since Specialization
Citations

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

Fields of papers citing papers by David Y. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Y. Lin. 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 David Y. Lin. The network helps show where David Y. Lin may publish in the future.

Co-authors

The 15 scholars most cited alongside David Y. Lin, 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 David Y. Lin Line = papers co-authored together David Y. Lin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2007306
2 201731
3 200210
4 20176
5 19813
6
Orientation and morphology development in electrospun nanofibers.
20051
7 20211

About David Y. Lin

David Y. Lin is a scholar working on Biomaterials, Polymers and Plastics, Biomedical Engineering, Molecular Biology and Pathology and Forensic Medicine, having authored 7 papers that have together received 358 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Laser-Matter Interactions and Applications (1 paper), Silk-based biomaterials and applications (1 paper), Nerve injury and regeneration (1 paper), biodegradable polymer synthesis and properties (1 paper) and Advanced Fiber Laser Technologies (1 paper). The work is most often cited by research in Biomaterials (235 citations), Cellular and Molecular Neuroscience (196 citations), Developmental Neuroscience (16 citations), Biomedical Engineering (175 citations) and Polymers and Plastics (43 citations). David Y. Lin has collaborated with scholars based in United States and Israel. Frequent co-authors include David C. Martin, Stanley Samuel, Joseph M. Corey, Eva L. Feldman, Jinglin Liu, Bin Wei, A. Dienes, Michael Johnson, Nadja S. Andrade and Mohammad Ali Faghihi. Their work appears in journals such as Polymer, Journal of Biomedical Materials Research Part A, Molecular and Cellular Neuroscience, Clinics in Podiatric Medicine and Surgery and Deep Blue (University of Michigan).

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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