Mei-Chu Lo

39 total papers · 2.3k total citations
19 papers, 954 citations indexed

About

Mei-Chu Lo is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mei-Chu Lo has authored 19 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mei-Chu Lo's work include Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers) and Computational Drug Discovery Methods (3 papers). Mei-Chu Lo is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers) and Computational Drug Discovery Methods (3 papers). Mei-Chu Lo collaborates with scholars based in United States, Canada and France. Mei-Chu Lo's co-authors include Ann Aulabaugh, George A. Ellestad, Guixian Jin, Rebecca Cowling, Jonathan Bard, Michael S. Malamas, Suzanne Walker, John D. McCarter, Victor J. Cee and Ryan P. Wurz 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

Mei-Chu Lo

18 papers receiving 928 citations

Hit Papers

Evaluation of fluorescenc... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mei-Chu Lo 748 132 117 97 77 19 954
Jörg Bomke 566 0.8× 94 0.7× 103 0.9× 74 0.8× 108 1.4× 15 809
Tsau-Yen Lin 535 0.7× 145 1.1× 155 1.3× 70 0.7× 44 0.6× 24 963
Guixian Jin 712 1.0× 264 2.0× 108 0.9× 75 0.8× 90 1.2× 21 1.1k
Charles S. Craik 573 0.8× 179 1.4× 141 1.2× 117 1.2× 30 0.4× 16 1.0k
Igor Mochalkin 510 0.7× 88 0.7× 171 1.5× 76 0.8× 119 1.5× 26 1.0k
Bainan Wu 877 1.2× 244 1.8× 149 1.3× 80 0.8× 118 1.5× 28 1.2k
Shiro Soga 1.0k 1.4× 132 1.0× 92 0.8× 111 1.1× 143 1.9× 25 1.2k
J.P. Guilloteau 651 0.9× 156 1.2× 157 1.3× 159 1.6× 109 1.4× 17 1.0k
Mark Ammirati 596 0.8× 168 1.3× 173 1.5× 69 0.7× 121 1.6× 20 1.2k
Werner Klaus 773 1.0× 158 1.2× 126 1.1× 92 0.9× 137 1.8× 18 1.0k

Countries citing papers authored by Mei-Chu Lo

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Chu Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Chu Lo. 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 Mei-Chu Lo. The network helps show where Mei-Chu Lo may publish in the future.

Co-authorship network of co-authors of Mei-Chu Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Chu Lo. A scholar is included among the top collaborators of Mei-Chu Lo 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 Mei-Chu Lo. Mei-Chu Lo 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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