Fu‐Tong Liu

28.5k total citations · 6 hit papers
301 papers, 21.9k citations indexed

About

Fu‐Tong Liu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Fu‐Tong Liu has authored 301 papers receiving a total of 21.9k indexed citations (citations by other indexed papers that have themselves been cited), including 253 papers in Immunology, 137 papers in Molecular Biology and 39 papers in Oncology. Recurrent topics in Fu‐Tong Liu's work include Galectins and Cancer Biology (202 papers), Glycosylation and Glycoproteins Research (64 papers) and Signaling Pathways in Disease (55 papers). Fu‐Tong Liu is often cited by papers focused on Galectins and Cancer Biology (202 papers), Glycosylation and Glycoproteins Research (64 papers) and Signaling Pathways in Disease (55 papers). Fu‐Tong Liu collaborates with scholars based in United States, Taiwan and Germany. Fu‐Tong Liu's co-authors include Gabriel A. Rabinovich, Daniel K. Hsu, Ri‐Yao Yang, Ichiro Kuwabara, Lan Yu, Huan-Yuan Chen, Riaz I. Zuberi, Linda G. Baum, John Apgar and Hideki Sano 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

Fu‐Tong Liu

298 papers receiving 21.4k citations

Hit Papers

Galectins as modulators of tumour progr... 1980 2026 1995 2010 2005 2008 1980 2011 2014 250 500 750 1000

Peers

Fu‐Tong Liu
Comparison fields: 5 of 169
  • Immunology 15.3k
  • Molecular Biology 10.1k
  • Oncology 3.0k
  • Surgery 1.6k
  • Physiology 1.5k
Replace Martin Herrmann with:
Martin Herrmann Germany
Cecília Garlanda Italy
John A. Hamilton Australia
Pamela S. Ohashi Canada
Christopher D. Buckley United Kingdom
Paola Ricciardi‐Castagnoli Italy
John H. Kehrl United States
Susan J. Fisher United States
Johannes Roth Germany
Massimo Locati Italy
Martin Herrmann Germany View profile →
Citations per field, relative to Fu‐Tong Liu
Fu‐Tong Liu · 1×
Citations per year, relative to Fu‐Tong Liu
Fu‐Tong Liu · 1×

Countries citing papers authored by Fu‐Tong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Tong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu‐Tong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Fu‐Tong Liu. A scholar is included among the top collaborators of Fu‐Tong 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 Fu‐Tong Liu. Fu‐Tong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 13
3 11
4 38
5 11
6 56
7 21
8 100
9 85
10 177
11 424
12 86
13 100
14 51
15 57
16 40
17 423
18
Expression of galectin-3, galectin-3-binding epitopes and of Gal/GalNAc-binding sites in keratinocytes of the adult human epidermis
3
19 133
20 14

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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