Tzu‐Wen Lien

23 total papers · 1.0k total citations
17 papers, 644 citations indexed

About

Tzu‐Wen Lien is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tzu‐Wen Lien has authored 17 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tzu‐Wen Lien's work include Lung Cancer Treatments and Mutations (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Tzu‐Wen Lien is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Tzu‐Wen Lien collaborates with scholars based in Taiwan and India. Tzu‐Wen Lien's co-authors include Hsing‐Pang Hsieh, Chih‐Cheng Huang, Yen-Ling Song, Chun I. Yu, Su‐Ying Wu, John Hsu, John T.-A. Hsu, Wen‐Hsing Lin, Xin Chen and Yu‐Sheng Chao and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Tzu‐Wen Lien

17 papers receiving 619 citations

Author Peers

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

Author						Papers	Cites
Tzu‐Wen Lien	341	127	114	101	72	17	644
Janny A. Villa-Pulgarín	350 1.0×	87 0.7×	35 0.3×	89 0.9×	13 0.2×	25	770
Yajing Yang	340 1.0×	98 0.8×	140 1.2×	76 0.8×	22 0.3×	26	770
Hee Won Park	391 1.1×	75 0.6×	97 0.9×	51 0.5×	12 0.2×	26	764
Beate Schölermann	568 1.7×	24 0.2×	113 1.0×	129 1.3×	33 0.5×	23	760
Yi Li Wong	226 0.7×	54 0.4×	108 0.9×	115 1.1×	52 0.7×	20	580
Lisa Wissler	320 0.9×	34 0.3×	121 1.1×	67 0.7×	81 1.1×	18	562
Hamsa Thayele Purayil	387 1.1×	60 0.5×	75 0.7×	78 0.8×	26 0.4×	25	646
Melchor Sánchez-Martínez	284 0.8×	35 0.3×	59 0.5×	86 0.9×	53 0.7×	24	569
D E Williams	310 0.9×	36 0.3×	80 0.7×	84 0.8×	13 0.2×	16	662
Song Yi Bae	334 1.0×	65 0.5×	119 1.0×	66 0.7×	12 0.2×	29	623

Countries citing papers authored by Tzu‐Wen Lien

Since Specialization

Citations

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

Fields of papers citing papers by Tzu‐Wen Lien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu‐Wen Lien

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