Ying Chan

69 total papers · 2.6k total citations
35 papers, 1.8k citations indexed

About

Ying Chan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Ying Chan has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 11 papers in Immunology. Recurrent topics in Ying Chan's work include interferon and immune responses (8 papers), Reproductive Biology and Fertility (5 papers) and Epigenetics and DNA Methylation (5 papers). Ying Chan is often cited by papers focused on interferon and immune responses (8 papers), Reproductive Biology and Fertility (5 papers) and Epigenetics and DNA Methylation (5 papers). Ying Chan collaborates with scholars based in United States, China and United Kingdom. Ying Chan's co-authors include Michaela U. Gack, Michael Farzan, Joseph E. Rabinowitz, R. Jude Samulski, Bao Lu, Robyn S. Klein, Michael S. Diamond, Bo Zhang, Stephanie Jemielity and Hyeryun Choe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Immunology.

In The Last Decade

Ying Chan

35 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Ying Chan 815 627 614 425 294 35 1.8k
Clarisse Berlioz‐Torrent 656 0.8× 961 1.5× 673 1.1× 256 0.6× 588 2.0× 45 2.3k
Courtney Wilkins 836 1.0× 518 0.8× 368 0.6× 215 0.5× 252 0.9× 23 1.4k
Naoko Misawa 799 1.0× 880 1.4× 504 0.8× 297 0.7× 500 1.7× 49 2.2k
María Teresa Sánchez-Aparicio 848 1.0× 498 0.8× 584 1.0× 268 0.6× 323 1.1× 23 1.4k
Juan R. Rodríguez-Madoz 472 0.6× 444 0.7× 585 1.0× 518 1.2× 188 0.6× 44 1.3k
Sinu P. John 1.2k 1.5× 811 1.3× 782 1.3× 371 0.9× 746 2.5× 17 2.3k
Jill Schriewer 521 0.6× 914 1.5× 527 0.9× 211 0.5× 781 2.7× 35 1.9k
Jason P. Gardner 733 0.9× 598 1.0× 290 0.5× 353 0.8× 537 1.8× 33 2.1k
Mary A. Rodgers 581 0.7× 902 1.4× 520 0.8× 408 1.0× 579 2.0× 58 2.2k
Mireille Lafage 644 0.8× 426 0.7× 547 0.9× 216 0.5× 524 1.8× 28 1.8k

Countries citing papers authored by Ying Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Chan

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