Ye Sing Tan

763 citations
19 papers · 582 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Hippo pathway signaling and YAP/TAZ 8
    • Microtubule and mitosis dynamics 5
    • Cellular transport and secretion 2
    • Cellular Mechanics and Interactions 2
    • Developmental Biology and Gene Regulation 4
    • Ubiquitin and proteasome pathways 2

Ye Sing Tan

16 papers receiving 580 citations

Peers

Ye Sing Tan
Comparison fields: 5 of 78
  • Cell Biology 172
  • Biomaterials 101
  • Developmental Neuroscience 26
  • Biomedical Engineering 227
  • Genetics 48
Replace Georg A. Feichtinger with:
Georg A. Feichtinger Austria
Erik Vrij Netherlands
Xiaolei Ding China
Monika Holeiter Germany
Akemi Shimada Japan
Piyush Koria United States
Eric Nguyen United States
Daniela Cigognini Italy
Praveen Krishna Veerasubramanian United States
Bryan A. Sutermaster United States
Ye Sing Tan relative to Georg A. Feichtinger Austria Georg A. Feichtinger's profile →
Citations per field
00.5×
Georg A. Feichtinger · 1×
Citations per year

Countries citing papers authored by Ye Sing Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ye Sing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye Sing Tan. 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 Ye Sing Tan. The network helps show where Ye Sing Tan may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018197
2 2018173
3 201763
4 201337
5 201922
6 201820
7 201919
8 202114
9 20239
10 20238
11 20235
12 20244
13 20254
14 20223
15 20243
16 20221
17 20240
18 20240
19 20250

About Ye Sing Tan

Ye Sing Tan is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Biomedical Engineering and Food Science, having authored 19 papers that have together received 582 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (8 papers), Microtubule and mitosis dynamics (5 papers), Developmental Biology and Gene Regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Cellular transport and secretion (2 papers), Cellular Mechanics and Interactions (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cell Biology (172 citations), Biomaterials (101 citations), Developmental Neuroscience (26 citations), Biomedical Engineering (227 citations) and Genetics (48 citations). Ye Sing Tan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Meiyu Sun, Ziran Xu, Yuhan Xia, Lisha Li, Guangfan Chi, Shuang Lv, Yulin Li, Pengdong Li, Jiayi Xu and Jiayi Xu. Their work appears in journals such as PLoS Biology, The EMBO Journal, Stem Cell Research & Therapy, Advanced Science and Developmental Cell.

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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