Chia‐Wen Liu

41 total papers · 2.0k total citations
14 papers, 784 citations indexed

About

Chia‐Wen Liu is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Chia‐Wen Liu has authored 14 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Chia‐Wen Liu's work include Acute Myeloid Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Histone Deacetylase Inhibitors Research (3 papers). Chia‐Wen Liu is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Histone Deacetylase Inhibitors Research (3 papers). Chia‐Wen Liu collaborates with scholars based in Taiwan, United States and Czechia. Chia‐Wen Liu's co-authors include Mei‐Hsuan Tseng, Hwei‐Fang Tien, Ming Yao, Jih‐Luh Tang, Wen‐Chien Chou, Hsin‐An Hou, Chien‐Yuan Chen, Shang‐Yi Huang, Shang‐Ju Wu and Woei Tsay and has published in prestigious journals such as Blood, Polymer and Molecular Cancer Therapeutics.

In The Last Decade

Chia‐Wen Liu

14 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
Chia‐Wen Liu 605 428 296 170 67 14 784
Kerstin Görlich 690 1.1× 468 1.1× 289 1.0× 173 1.0× 131 2.0× 15 859
Sonja Schindela 618 1.0× 366 0.9× 314 1.1× 146 0.9× 158 2.4× 24 827
Friederike Schneider 388 0.6× 331 0.8× 175 0.6× 114 0.7× 82 1.2× 16 662
Michael Andreef 341 0.6× 316 0.7× 133 0.4× 143 0.8× 58 0.9× 17 697
F. Messa 452 0.7× 366 0.9× 208 0.7× 113 0.7× 216 3.2× 15 721
Michelle D. O’Laughlin 527 0.9× 666 1.6× 108 0.4× 192 1.1× 63 0.9× 13 876
Joanne I. Hsu 253 0.4× 343 0.8× 143 0.5× 92 0.5× 45 0.7× 14 626
Lisa Hopcroft 484 0.8× 340 0.8× 292 1.0× 59 0.3× 48 0.7× 23 810
Jeffrey A. Durocher 299 0.5× 530 1.2× 303 1.0× 68 0.4× 27 0.4× 12 808
Deborah Fuchs 603 1.0× 367 0.9× 309 1.0× 50 0.3× 62 0.9× 20 881

Countries citing papers authored by Chia‐Wen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Wen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Wen Liu

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