Yu‐Fen Lin

4.1k total citations
105 papers, 2.7k citations indexed

About

Yu‐Fen Lin is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, Yu‐Fen Lin has authored 105 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 29 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Yu‐Fen Lin's work include Cancer survivorship and care (17 papers), DNA Repair Mechanisms (16 papers) and Cancer-related Molecular Pathways (10 papers). Yu‐Fen Lin is often cited by papers focused on Cancer survivorship and care (17 papers), DNA Repair Mechanisms (16 papers) and Cancer-related Molecular Pathways (10 papers). Yu‐Fen Lin collaborates with scholars based in United States, Taiwan and China. Yu‐Fen Lin's co-authors include Benjamin P.C. Chen, Lu‐Ping Chow, Chia-Jung Yu, Bor‐Luen Chiang, Pi‐Hsia Hung, Gwo‐Jen Hwang, Kyung Jong Lee, David J. Chen, Kazi R. Fattah and Yong‐Song Chen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yu‐Fen Lin

101 papers receiving 2.7k citations

Peers

Yu‐Fen Lin
Comparison fields: 5 of 167
  • Molecular Biology 1.3k
  • Oncology 568
  • Cancer Research 208
  • Immunology and Allergy 187
  • Immunology 182
Replace Mi‐Sook Lee with:
Mi‐Sook Lee South Korea
Ji‐Hye Park South Korea
Patrick A. Kiely Ireland
Victoria Smith United States
Ioannis Prassas Canada
Kun Zhao China
Tomoko Nakamura Japan
Youssef Fares Lebanon
Giuseppina Salzano Italy
Min Kim South Korea
Mi‐Sook Lee South Korea View profile →
Citations per field, relative to Yu‐Fen Lin
Yu‐Fen Lin · 1×
Citations per year, relative to Yu‐Fen Lin
Yu‐Fen Lin · 1×

Countries citing papers authored by Yu‐Fen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Fen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Fen Lin

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 2
5 30
6 7
7 4
8 8
9 28
10 107
11 11
12
Seamless Connection between Learning and Assessment- Applying Progressive Learning Tasks in Mobile Ecology Inquiry
80
13 83
14 36
15 142
16
Formative Assessment Design for PDA Integrated Ecology Observation
65
17 34
18 23
19 20
20 218

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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