Ya–Yuan Fu

67 total papers · 3.2k total citations
32 papers, 1.2k citations indexed

About

Ya–Yuan Fu is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ya–Yuan Fu has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ya–Yuan Fu's work include Acute Myocardial Infarction Research (7 papers), Cardiac Imaging and Diagnostics (7 papers) and Cancer Cells and Metastasis (4 papers). Ya–Yuan Fu is often cited by papers focused on Acute Myocardial Infarction Research (7 papers), Cardiac Imaging and Diagnostics (7 papers) and Cancer Cells and Metastasis (4 papers). Ya–Yuan Fu collaborates with scholars based in United States, Taiwan and Canada. Ya–Yuan Fu's co-authors include Shiue–Cheng Tang, Pankaj J. Pasricha, Padma Kaul, Wen‐Ching Chang, Steven D. Leach, Jennifer M. Bailey, Paul W. Armstrong, Christopher B. Granger, Cynthia M. Westerhout and Zeshaan A. Rasheed and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Ya–Yuan Fu

30 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Ya–Yuan Fu 405 341 292 239 229 32 1.2k
Markus Theurl 182 0.4× 249 0.7× 91 0.3× 111 0.5× 330 1.4× 47 1.1k
Hanna Mussalo 416 1.0× 444 1.3× 130 0.4× 74 0.3× 669 2.9× 28 1.4k
Giselle C. Meléndez 126 0.3× 839 2.5× 176 0.6× 238 1.0× 305 1.3× 36 1.4k
Shau-Hsuan Li 135 0.3× 75 0.2× 472 1.6× 238 1.0× 570 2.5× 35 1.3k
Thomas Yeoh 298 0.7× 593 1.7× 52 0.2× 72 0.3× 724 3.2× 29 1.5k
Eva Becher 199 0.5× 251 0.7× 75 0.3× 47 0.2× 241 1.1× 21 1.3k
Sergio Estrada 166 0.4× 57 0.2× 137 0.5× 230 1.0× 493 2.2× 46 1.1k
Viktor Drvota 382 0.9× 260 0.8× 76 0.3× 107 0.4× 520 2.3× 28 1.2k
Deanne Mickelsen 154 0.4× 567 1.7× 131 0.4× 70 0.3× 440 1.9× 31 1.1k
G Melillo 192 0.5× 257 0.8× 101 0.3× 87 0.4× 563 2.5× 44 1.2k

Countries citing papers authored by Ya–Yuan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ya–Yuan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya–Yuan Fu. 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 Ya–Yuan Fu. The network helps show where Ya–Yuan Fu may publish in the future.

Co-authorship network of co-authors of Ya–Yuan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya–Yuan Fu. A scholar is included among the top collaborators of Ya–Yuan Fu 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 Ya–Yuan Fu. Ya–Yuan Fu 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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