F T Liu

8 total papers · 761 total citations
8 papers, 664 citations indexed

About

F T Liu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, F T Liu has authored 8 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in F T Liu's work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Galectins and Cancer Biology (3 papers). F T Liu is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Galectins and Cancer Biology (3 papers). F T Liu collaborates with scholars based in United States, Japan and Argentina. F T Liu's co-authors include Gabriel A. Rabinovich, Mitsuomi Hirashima, Ana C. Anderson, Jian Gong, Shengmei Chen, Konstantin N. Konstantinov, Bruce A. Robbins, Norman K. Orida, K Albrandt and Anthony Kulczycki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

F T Liu

8 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
F T Liu	469	316	81	62	36	8	664
Anette Merling	209 0.4×	446 1.4×	58 0.7×	78 1.3×	19 0.5×	16	666
Caroline Kamaté	248 0.5×	227 0.7×	34 0.4×	58 0.9×	68 1.9×	6	782
Huifang Dong	186 0.4×	422 1.3×	79 1.0×	100 1.6×	21 0.6×	10	684
David Weismann	235 0.5×	291 0.9×	108 1.3×	25 0.4×	28 0.8×	4	701
Erica N. Montano	433 0.9×	202 0.6×	33 0.4×	32 0.5×	87 2.4×	13	655
Z Shan	275 0.6×	120 0.4×	31 0.4×	92 1.5×	40 1.1×	8	567
Jennifer Kench	421 0.9×	214 0.7×	65 0.8×	36 0.6×	98 2.7×	12	789
Maki Yamaura	210 0.4×	273 0.9×	110 1.4×	125 2.0×	29 0.8×	10	610
Ellen Herlaar	226 0.5×	322 1.0×	26 0.3×	104 1.7×	38 1.1×	8	694
Mauro Gaya	484 1.0×	177 0.6×	25 0.3×	69 1.1×	39 1.1×	15	722

Countries citing papers authored by F T Liu

Since Specialization

Citations

This map shows the geographic impact of F T 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 F T Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F T Liu more than expected).

Fields of papers citing papers by F T Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F T Liu

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