Zuwan Lin

1.4k citations
14 papers · 741 · h-index 10

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • RNA Research and Splicing 2
    • Pluripotent Stem Cells Research 2
    • Planarian Biology and Electrostimulation 2
    • RNA and protein synthesis mechanisms 1
    • Neuroscience and Neural Engineering 7
    • Photoreceptor and optogenetics research 2

Zuwan Lin

14 papers receiving 737 citations

Peers

Zuwan Lin
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 299
  • Biophysics 53
  • Biomedical Engineering 244
  • Cognitive Neuroscience 94
  • Molecular Biology 327
Replace Hui Ye with:
Hui Ye United States
Cecilia Ferrantini Italy
Mattia Pesce Italy
Maéva Vignes France
Greta Thompson‐Steckel Switzerland
Isabel Ortuño‐Lizarán Spain
Cátia D. F. Lopes Portugal
Roopa Dalal United States
Zuwan Lin relative to Hui Ye United States Hui Ye's profile →
Citations per field
00.5×5.6×
Hui Ye · 1×
Citations per year

Countries citing papers authored by Zuwan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zuwan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019170
2 2022110
3 2023101
4 202378
5 202162
6 202361
7 202346
8 202341
9 202332
10 202326
11 20258
12 20254
13 20261
14 20221

About Zuwan Lin

Zuwan Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Oncology and Neurology, having authored 14 papers that have together received 741 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Single-cell and spatial transcriptomics (5 papers), 3D Printing in Biomedical Research (3 papers), RNA Research and Splicing (2 papers), Pluripotent Stem Cells Research (2 papers), Photoreceptor and optogenetics research (2 papers), Planarian Biology and Electrostimulation (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (299 citations), Biophysics (53 citations), Biomedical Engineering (244 citations), Cognitive Neuroscience (94 citations) and Molecular Biology (327 citations). Zuwan Lin has collaborated with scholars based in United States. Frequent co-authors include Jia Liu, Qiang Li, Paul Le Floch, Hao Sheng, Ren Liu, Xin Tang, Kewang Nan, Thomas Blüm, Xiao Wang and Yichun He. Their work appears in journals such as Nature Communications, Advanced Materials, Cell, Nature Methods and Nature Protocols.

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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