Margaret Liu

195 total papers · 3.2k total citations
106 papers, 2.3k citations indexed

About

Margaret Liu is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Margaret Liu has authored 106 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 21 papers in Oncology and 19 papers in Biomedical Engineering. Recurrent topics in Margaret Liu's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Virus-based gene therapy research (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Margaret Liu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Virus-based gene therapy research (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Margaret Liu collaborates with scholars based in United States, China and France. Margaret Liu's co-authors include Lufang Zhou, Paul‐Henri Lambert, Claire‐Anne Siegrist, Justin T. Mohr, Xiaohong Chen, Yingnan Si, Seulhee Kim, Ningning Xu, Shishuai Su and Yan Wu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Margaret Liu

98 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Margaret Liu 979 426 321 314 314 106 2.3k
Hiroko Tada 1.3k 1.3× 361 0.8× 177 0.6× 357 1.1× 222 0.7× 71 2.8k
Xiaofeng Lu 1.4k 1.5× 533 1.3× 381 1.2× 427 1.4× 207 0.7× 165 3.2k
Andreas Maurer 1.3k 1.3× 228 0.5× 233 0.7× 286 0.9× 221 0.7× 100 2.6k
Anna M. Grabowska 992 1.0× 284 0.7× 341 1.1× 448 1.4× 249 0.8× 101 2.4k
Hui Liu 1.7k 1.8× 500 1.2× 392 1.2× 317 1.0× 222 0.7× 139 3.3k
Bing Du 1.3k 1.3× 538 1.3× 504 1.6× 439 1.4× 211 0.7× 99 2.7k
Yuchen Zhang 955 1.0× 269 0.6× 267 0.8× 555 1.8× 239 0.8× 134 2.4k
George O. Gey 938 1.0× 275 0.6× 212 0.7× 275 0.9× 218 0.7× 45 2.9k
Subhra Mohapatra 1.2k 1.2× 340 0.8× 663 2.1× 485 1.5× 412 1.3× 112 3.3k
Kiyoshi Ito 1.4k 1.4× 236 0.6× 201 0.6× 449 1.4× 273 0.9× 167 3.2k

Countries citing papers authored by Margaret Liu

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Liu

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