Ting-Chung Suen

25 total papers · 438 total citations
13 papers, 350 citations indexed

About

Ting-Chung Suen is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Oncology. According to data from OpenAlex, Ting-Chung Suen has authored 13 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrine and Autonomic Systems and 3 papers in Oncology. Recurrent topics in Ting-Chung Suen's work include Circadian rhythm and melatonin (4 papers), CRISPR and Genetic Engineering (3 papers) and HER2/EGFR in Cancer Research (3 papers). Ting-Chung Suen is often cited by papers focused on Circadian rhythm and melatonin (4 papers), CRISPR and Genetic Engineering (3 papers) and HER2/EGFR in Cancer Research (3 papers). Ting-Chung Suen collaborates with scholars based in United States and Canada. Ting-Chung Suen's co-authors include Paul E. Goss, Khushbakhat Mittal, Alan A. Arslan, Ilana Belitskaya‐Lévy, Paolo Toniolo, Leslie I. Gold, Moon-shong Tang, Mien‐Chie Hung, Max Costa and Qin Li and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Ting-Chung Suen

13 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Ting-Chung Suen 130 121 118 62 47 13 350
L Nanu 42 0.3× 26 0.2× 98 0.8× 33 0.5× 176 3.7× 15 346
Antonio Abad 45 0.3× 61 0.5× 180 1.5× 8 0.1× 15 0.3× 17 378
K Janssen 19 0.1× 64 0.5× 37 0.3× 77 1.2× 17 0.4× 12 338
Vanessa M. López‐Ozuna 42 0.3× 33 0.3× 191 1.6× 9 0.1× 34 0.7× 24 396
Salvador Mejía 10 0.1× 67 0.6× 113 1.0× 53 0.9× 21 0.4× 9 327
VK Han 40 0.3× 10 0.1× 133 1.1× 15 0.2× 87 1.9× 11 385
Christian Nunes da Silva 38 0.3× 55 0.5× 56 0.5× 157 2.5× 24 0.5× 11 318
Darwin O. Larco 6 0.0× 72 0.6× 121 1.0× 52 0.8× 56 1.2× 16 315
Verónica Zaldivar 8 0.1× 48 0.4× 150 1.3× 24 0.4× 102 2.2× 15 367
Cristina Alvarez 19 0.1× 17 0.1× 169 1.4× 10 0.2× 65 1.4× 16 401

Countries citing papers authored by Ting-Chung Suen

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Chung Suen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Chung Suen. 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 Ting-Chung Suen. The network helps show where Ting-Chung Suen may publish in the future.

Co-authorship network of co-authors of Ting-Chung Suen

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Chung Suen. A scholar is included among the top collaborators of Ting-Chung Suen 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 Ting-Chung Suen. Ting-Chung Suen 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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