Yu-Chung Yang

22 total papers · 1.9k total citations
21 papers, 1.6k citations indexed

About

Yu-Chung Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yu-Chung Yang has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Yu-Chung Yang's work include Cytokine Signaling Pathways and Interactions (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Congenital heart defects research (3 papers). Yu-Chung Yang is often cited by papers focused on Cytokine Signaling Pathways and Interactions (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Congenital heart defects research (3 papers). Yu-Chung Yang collaborates with scholars based in United States, Australia and United Kingdom. Yu-Chung Yang's co-authors include A. Ciarletta, Sharlotte Kovacic, Robert E. Donahue, Gordon Wong, Steven C. Clark, J Witek-Giannotti, Patricia A. Temple, D Führer, Hui Sun and Michiko Watanabe and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yu-Chung Yang

21 papers receiving 1.6k citations

Hit Papers

Human IL-3 (multi-CSF): I... 1986 2026 1999 2012 1986 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Yu-Chung Yang 854 489 320 319 225 21 1.6k
Emer Bourke 906 1.1× 502 1.0× 342 1.1× 194 0.6× 226 1.0× 23 1.6k
D C Bicknell 680 0.8× 618 1.3× 595 1.9× 266 0.8× 253 1.1× 28 1.9k
Sylvie Giuriato 1.3k 1.5× 418 0.9× 387 1.2× 448 1.4× 299 1.3× 35 2.2k
T Kojima 961 1.1× 584 1.2× 390 1.2× 156 0.5× 138 0.6× 12 1.8k
Travis K. Hughes 1.1k 1.3× 786 1.6× 242 0.8× 396 1.2× 385 1.7× 21 2.2k
Gary Elliott 929 1.1× 610 1.2× 442 1.4× 135 0.4× 161 0.7× 22 1.8k
Emmanuel Karouzakis 1.0k 1.2× 478 1.0× 280 0.9× 222 0.7× 460 2.0× 30 1.9k
Sandra Isenmann 1.2k 1.4× 675 1.4× 310 1.0× 185 0.6× 368 1.6× 23 2.2k
Andrzej Ptasznik 765 0.9× 437 0.9× 386 1.2× 231 0.7× 137 0.6× 37 1.6k
P E Barker 1.0k 1.2× 448 0.9× 301 0.9× 206 0.6× 151 0.7× 32 1.8k

Countries citing papers authored by Yu-Chung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Chung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Chung Yang

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