Ta-Wei Liu

2.4k citations
48 papers · 1.0k · h-index 15

Impact in

Papers in

Ta-Wei Liu

46 papers receiving 1.0k citations

Peers

Ta-Wei Liu
Comparison fields: 5 of 91
  • Electrical and Electronic Engineering 454
  • Organic Chemistry 191
  • Hardware and Architecture 47
  • Hepatology 43
  • Molecular Biology 349
Replace Gyudong Kim with:
Gyudong Kim South Korea
Chi‐Hung Lin Taiwan
Aili Wang China
Song-Yi Lee South Korea
Qi Gao China
Kyoungtae Lee South Korea
Bo Ding China
Liren Liu China
Shan Tang China
Yu-Chen Lin Taiwan
Ta-Wei Liu relative to Gyudong Kim South Korea Gyudong Kim's profile →
Citations per field
00.5×1.5×2×2.4×
Gyudong Kim · 1×
Citations per year

Countries citing papers authored by Ta-Wei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ta-Wei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ta-Wei Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ta-Wei Liu Line = papers co-authored together Ta-Wei Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 2021149
3 2015115
4 202190
5 200967
6 201036
7 201634
8 200831
9 202030
10 201629
11 201128
12 202021
13 202019
14 201518
15 202214
16 201114
17 201814
18 202113
19 202013
20 201913

About Ta-Wei Liu

Ta-Wei Liu is a scholar working on Molecular Biology, Organic Chemistry, Electrical and Electronic Engineering, Hepatology and Pharmacology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Hepatitis C virus research (8 papers), Carbohydrate Chemistry and Synthesis (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Galectins and Cancer Biology (4 papers), Advanced Memory and Neural Computing (4 papers), Phytochemistry and Biological Activities (4 papers) and Nanowire Synthesis and Applications (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (454 citations), Organic Chemistry (191 citations), Hardware and Architecture (47 citations), Hepatology (43 citations) and Molecular Biology (349 citations). Ta-Wei Liu has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include David J. Vocadlo, Samy Cecioni, Meng‐Fan Chang, Wesley F. Zandberg, Cheng-Xin Xue, Hui-Yao Kao, Chung‐Chuan Lo, Chih-Cheng Hsieh, Ren-Shuo Liu and Yanping Zhu. Their work appears in journals such as ACS Chemical Biology, Nature Chemical Biology, Glycobiology, Proceedings of the National Academy of Sciences and Phytochemistry.

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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