Gene Liau

74 total papers · 4.2k total citations
60 papers, 3.5k citations indexed

About

Gene Liau is a scholar working on Molecular Biology, Genetics and Immunology and Allergy. According to data from OpenAlex, Gene Liau has authored 60 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 10 papers in Genetics and 10 papers in Immunology and Allergy. Recurrent topics in Gene Liau's work include Angiogenesis and VEGF in Cancer (11 papers), Cell Adhesion Molecules Research (10 papers) and Protease and Inhibitor Mechanisms (8 papers). Gene Liau is often cited by papers focused on Angiogenesis and VEGF in Cancer (11 papers), Cell Adhesion Molecules Research (10 papers) and Protease and Inhibitor Mechanisms (8 papers). Gene Liau collaborates with scholars based in United States, Switzerland and United Kingdom. Gene Liau's co-authors include Benoît De Crombrugghe, C C Haudenschild, Brad T. Tinkle, M.B. Leon, David K. Han, Minha Hong, Yasuhiro Yamada, Maria Mudryj, Steingrimur Stefansson and Chiaki Setoyama and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gene Liau

59 papers receiving 3.5k citations

Hit Papers

Antisense oligonucleotide... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Gene Liau 2.3k 654 578 477 470 60 3.5k
Ronald L. Heimark 2.4k 1.0× 492 0.8× 537 0.9× 449 0.9× 269 0.6× 61 4.1k
Ronald A. Seifert 2.4k 1.1× 611 0.9× 432 0.7× 625 1.3× 286 0.6× 40 4.7k
Nina Jones 2.1k 0.9× 321 0.5× 379 0.7× 248 0.5× 389 0.8× 59 3.3k
Luc Schoonjans 2.3k 1.0× 1.5k 2.2× 395 0.7× 291 0.6× 643 1.4× 39 5.0k
Motoko Shibanuma 2.2k 1.0× 501 0.8× 542 0.9× 536 1.1× 216 0.5× 67 3.3k
S E Rittenhouse 3.3k 1.4× 410 0.6× 826 1.4× 576 1.2× 359 0.8× 54 5.5k
Bela Anand‐Apte 2.8k 1.2× 1.2k 1.8× 830 1.4× 527 1.1× 229 0.5× 87 4.9k
Hitoshi Kitayama 2.3k 1.0× 1000 1.5× 676 1.2× 479 1.0× 211 0.4× 59 3.8k
Michael L. Lu 1.6k 0.7× 883 1.4× 425 0.7× 261 0.5× 504 1.1× 45 3.0k
Ramani Ramchandran 3.0k 1.3× 1.5k 2.2× 540 0.9× 657 1.4× 285 0.6× 96 4.3k

Countries citing papers authored by Gene Liau

Since Specialization
Citations

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

Fields of papers citing papers by Gene Liau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Liau

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