Teh‐Yung Liu

60 total papers · 2.1k total citations
48 papers, 1.7k citations indexed

About

Teh‐Yung Liu is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Teh‐Yung Liu has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in Teh‐Yung Liu's work include Biochemical and Structural Characterization (10 papers), Peptidase Inhibition and Analysis (9 papers) and Glycosylation and Glycoproteins Research (8 papers). Teh‐Yung Liu is often cited by papers focused on Biochemical and Structural Characterization (10 papers), Peptidase Inhibition and Analysis (9 papers) and Glycosylation and Glycoproteins Research (8 papers). Teh‐Yung Liu collaborates with scholars based in United States, Taiwan and Japan. Teh‐Yung Liu's co-authors include E C Gotschlich, S. D. Elliott, John B. Robbins, A.S. Inglis, Stanford Moore, William H. Stein, Alexander A. Kortt, Klaus Hofmann, Robert A. Boykins and Haruaki Yajima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Teh‐Yung Liu

47 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Teh‐Yung Liu 887 260 230 225 207 48 1.7k
E. Malito 1.2k 1.4× 262 1.0× 336 1.5× 190 0.8× 162 0.8× 42 2.1k
Nicolas Gisch 801 0.9× 302 1.2× 275 1.2× 170 0.8× 134 0.6× 62 1.8k
Andrew J. Reason 1.0k 1.1× 280 1.1× 191 0.8× 117 0.5× 306 1.5× 34 1.7k
Johnny X. Huang 711 0.8× 153 0.6× 225 1.0× 204 0.9× 271 1.3× 48 1.8k
Carl G. Hellerqvist 706 0.8× 136 0.5× 154 0.7× 143 0.6× 239 1.2× 54 1.4k
Christoph Gelhaus 825 0.9× 337 1.3× 257 1.1× 371 1.6× 224 1.1× 50 1.8k
Claire Delahunty 1.4k 1.5× 146 0.6× 235 1.0× 171 0.8× 99 0.5× 28 2.2k
Guido Hansen 656 0.7× 255 1.0× 185 0.8× 338 1.5× 68 0.3× 42 1.7k
Karina Persson 702 0.8× 158 0.6× 110 0.5× 226 1.0× 197 1.0× 48 1.3k
Jean‐Luc Desseyn 1.2k 1.3× 384 1.5× 187 0.8× 154 0.7× 332 1.6× 57 2.0k

Countries citing papers authored by Teh‐Yung Liu

Since Specialization
Citations

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

Fields of papers citing papers by Teh‐Yung Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teh‐Yung Liu. 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 Teh‐Yung Liu. The network helps show where Teh‐Yung Liu may publish in the future.

Co-authorship network of co-authors of Teh‐Yung Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Teh‐Yung Liu. A scholar is included among the top collaborators of Teh‐Yung Liu 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 Teh‐Yung Liu. Teh‐Yung Liu 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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