Yan Ting Shue

15 total papers · 639 total citations
8 papers, 233 citations indexed

About

Yan Ting Shue is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Yan Ting Shue has authored 8 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Yan Ting Shue's work include Lung Cancer Research Studies (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Epigenetics and DNA Methylation (2 papers). Yan Ting Shue is often cited by papers focused on Lung Cancer Research Studies (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Epigenetics and DNA Methylation (2 papers). Yan Ting Shue collaborates with scholars based in United States, Singapore and Austria. Yan Ting Shue's co-authors include Julien Sage, Jing Shan Lim, Daniel M. Messerschmidt, Davor Solter, Barbara B. Knowles, Chin Wee Tan, Chanchao Lorthongpanich, Natalia V. Gounko, Satomi Kuramochi‐Miyagawa and Ting Gang Chew and has published in prestigious journals such as Nature, Nature Communications and Development.

In The Last Decade

Yan Ting Shue

8 papers receiving 232 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan Ting Shue 134 96 55 34 30 8 233
Sonja Bauer 96 0.7× 47 0.5× 26 0.5× 61 1.8× 31 1.0× 8 316
Valentina C. Sladky 235 1.8× 76 0.8× 45 0.8× 19 0.6× 37 1.2× 11 328
Chris Harris 130 1.0× 117 1.2× 43 0.8× 11 0.3× 18 0.6× 5 236
Amy E. Schade 243 1.8× 116 1.2× 13 0.2× 21 0.6× 44 1.5× 10 331
Shira Sagie 144 1.1× 42 0.4× 38 0.7× 16 0.5× 15 0.5× 13 206
Tyler Liban 143 1.1× 107 1.1× 21 0.4× 14 0.4× 20 0.7× 8 197
Sheng Ge 254 1.9× 120 1.3× 16 0.3× 12 0.4× 21 0.7× 10 329
Sophie Gilbert 180 1.3× 83 0.9× 19 0.3× 15 0.4× 35 1.2× 9 302
Steven Thibodeau 167 1.2× 87 0.9× 23 0.4× 15 0.4× 17 0.6× 8 327
Tiago Gomes 260 1.9× 52 0.5× 15 0.3× 14 0.4× 41 1.4× 8 320

Countries citing papers authored by Yan Ting Shue

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ting Shue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Ting Shue. 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 Yan Ting Shue. The network helps show where Yan Ting Shue may publish in the future.

Co-authorship network of co-authors of Yan Ting Shue

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

All Works

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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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