Taryne Chong

15 total papers · 1.4k total citations
6 papers, 190 citations indexed

About

Taryne Chong is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Taryne Chong has authored 6 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cell Biology. Recurrent topics in Taryne Chong's work include Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). Taryne Chong is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). Taryne Chong collaborates with scholars based in Canada, United Kingdom and United States. Taryne Chong's co-authors include Khosrow Adeli, Wei Qiu, Gary F. Lewis, Richard C. Austin, Mark Naples, Janet D. Sparks, Šárka Lhoták, Bernardo L. Trigatti, Elizabeth J. White and Alison Fox‐Robichaud and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Diabetes.

In The Last Decade

Taryne Chong

6 papers receiving 188 citations

Author Peers

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

Author Last Decade Papers Cites
Taryne Chong 118 46 45 38 34 6 190
Melinde Wijers 94 0.8× 57 1.2× 32 0.7× 98 2.6× 26 0.8× 7 251
Marie Elisabeth Samson-Bouma 76 0.6× 38 0.8× 27 0.6× 49 1.3× 25 0.7× 7 215
Takahiro Kuwasako 165 1.4× 17 0.4× 45 1.0× 41 1.1× 58 1.7× 5 257
Yoshiko Mukumoto 170 1.4× 39 0.8× 44 1.0× 46 1.2× 21 0.6× 7 284
Katharina Neureuther 88 0.7× 25 0.5× 34 0.8× 22 0.6× 13 0.4× 7 204
Maria Ryaboshapkina 75 0.6× 26 0.6× 70 1.6× 54 1.4× 33 1.0× 10 195
Daniela Pirri 111 0.9× 37 0.8× 27 0.6× 24 0.6× 13 0.4× 8 249
Marc D. Voß 122 1.0× 16 0.3× 29 0.6× 35 0.9× 50 1.5× 10 247
Yoshitaka Sayo 140 1.2× 16 0.3× 62 1.4× 92 2.4× 43 1.3× 6 242
Ayça Erbilgin 131 1.1× 43 0.9× 23 0.5× 32 0.8× 9 0.3× 8 241

Countries citing papers authored by Taryne Chong

Since Specialization
Citations

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

Fields of papers citing papers by Taryne Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taryne Chong. 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 Taryne Chong. The network helps show where Taryne Chong may publish in the future.

Co-authorship network of co-authors of Taryne Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Taryne Chong. A scholar is included among the top collaborators of Taryne Chong 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 Taryne Chong. Taryne Chong 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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