Ruby Yu‐Tong Lin

548 total citations
7 papers, 122 citations indexed

About

Ruby Yu‐Tong Lin is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, Ruby Yu‐Tong Lin has authored 7 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Oncology. Recurrent topics in Ruby Yu‐Tong Lin's work include Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Ruby Yu‐Tong Lin is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (2 papers) and Protein Degradation and Inhibitors (2 papers). Ruby Yu‐Tong Lin collaborates with scholars based in Singapore, United States and China. Ruby Yu‐Tong Lin's co-authors include H. Phillip Koeffler, Liang Xu, Ye Chen, Markus Müschen, Nileshkumar Dubey, Xinyu Ke, Mark E. Puhaindran, Sigal Gery, Angela Pang and Ling‐Wen Ding and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Ruby Yu‐Tong Lin

7 papers receiving 120 citations

Peers

Ruby Yu‐Tong Lin
Comparison fields: 5 of 41
  • Molecular Biology 91
  • Pulmonary and Respiratory Medicine 20
  • Oncology 20
  • Cancer Research 20
  • Biomedical Engineering 12
Replace Virginia Summerour with:
Virginia Summerour United Kingdom
Assma Ben Aïssa Switzerland
Michael I. Barbato United States
Jianan Zheng China
Matías Marín Falco Spain
Bojana Stefanovska France
Joël Grosjean Switzerland
Qingli Quan China
Jeffery Liu United States
Rowland Mosbergen Australia
Virginia Summerour United Kingdom View profile →
Citations per field, relative to Ruby Yu‐Tong Lin
Ruby Yu‐Tong Lin · 1×
Citations per year, relative to Ruby Yu‐Tong Lin
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Countries citing papers authored by Ruby Yu‐Tong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ruby Yu‐Tong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby Yu‐Tong 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 Ruby Yu‐Tong Lin. The network helps show where Ruby Yu‐Tong Lin may publish in the future.

Co-authorship network of co-authors of Ruby Yu‐Tong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ruby Yu‐Tong Lin. A scholar is included among the top collaborators of Ruby Yu‐Tong Lin 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 Ruby Yu‐Tong Lin. Ruby Yu‐Tong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 2
2 12
3 7
4 1
5 16
6 41
7 43

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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