Haiyuan Yu

249 total papers · 41.7k total citations
129 papers, 9.9k citations indexed

About

Haiyuan Yu is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Haiyuan Yu has authored 129 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 16 papers in Materials Chemistry and 15 papers in Genetics. Recurrent topics in Haiyuan Yu's work include Bioinformatics and Genomic Networks (58 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Fungal and yeast genetics research (16 papers). Haiyuan Yu is often cited by papers focused on Bioinformatics and Genomic Networks (58 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Fungal and yeast genetics research (16 papers). Haiyuan Yu collaborates with scholars based in United States, China and United Kingdom. Haiyuan Yu's co-authors include Mark Gerstein, Alberto Paccanaro, Tamás Nepusz, M Snyder, Jishnu Das, Nicholas M. Luscombe, Valery Trifonov, Philip M. Kim, Dov Greenbaum and Emmett Sprecher and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Haiyuan Yu

125 papers receiving 9.7k citations

Hit Papers

Detecting overlapping pro... 2003 2026 2010 2018 2012 2003 2007 2004 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Haiyuan Yu 8.2k 1.4k 959 624 570 129 9.9k
Frederick P. Roth 9.8k 1.2× 1.1k 0.8× 1.8k 1.8× 518 0.8× 578 1.0× 133 11.9k
Christopher W.V. Hogue 6.9k 0.8× 973 0.7× 560 0.6× 839 1.3× 356 0.6× 62 8.8k
Philip M. Kim 6.3k 0.8× 638 0.5× 867 0.9× 577 0.9× 471 0.8× 94 7.5k
Michael E. Cusick 6.9k 0.8× 1.6k 1.2× 1.1k 1.1× 496 0.8× 333 0.6× 41 8.3k
Cathy Wu 7.1k 0.9× 533 0.4× 746 0.8× 407 0.7× 539 0.9× 217 9.3k
Roded Sharan 11.3k 1.4× 3.0k 2.1× 1.1k 1.2× 493 0.8× 506 0.9× 214 14.0k
Hans‐Werner Mewes 11.2k 1.4× 1.2k 0.9× 1.3k 1.4× 1.1k 1.7× 1.7k 3.1× 123 13.9k
Reinhard Schneider 7.0k 0.9× 914 0.7× 716 0.7× 367 0.6× 372 0.7× 196 10.5k
James Inglese 9.9k 1.2× 1.8k 1.3× 602 0.6× 964 1.5× 201 0.4× 192 13.8k
Anne‐Claude Gavin 5.3k 0.6× 1.1k 0.8× 431 0.4× 792 1.3× 248 0.4× 91 6.6k

Countries citing papers authored by Haiyuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyuan Yu

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