I‐Hsuan Liu

783 total citations
33 papers, 605 citations indexed

About

I‐Hsuan Liu is a scholar working on Cell Biology, Molecular Biology and Genetics. According to data from OpenAlex, I‐Hsuan Liu has authored 33 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cell Biology, 9 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in I‐Hsuan Liu's work include Mesenchymal stem cell research (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Zebrafish Biomedical Research Applications (5 papers). I‐Hsuan Liu is often cited by papers focused on Mesenchymal stem cell research (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Zebrafish Biomedical Research Applications (5 papers). I‐Hsuan Liu collaborates with scholars based in Taiwan, United States and France. I‐Hsuan Liu's co-authors include Shinn‐Chih Wu, Guan-Yu Xiao, Winston Teng-Kuei Cheng, Yih‐Shien Chiang, Gregory J. Cole, Chia‐Chun Chang, Willi Halfter, Wei‐Chun HuangFu, Larissa A. Munishkina and Shih‐Torng Ding and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

I‐Hsuan Liu

31 papers receiving 600 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I‐Hsuan Liu Taiwan 12 298 133 129 88 85 33 605
Hongxing Wang China 14 670 2.2× 271 2.0× 84 0.7× 67 0.8× 61 0.7× 21 1.0k
Thore C. Brink Germany 12 702 2.4× 64 0.5× 230 1.8× 46 0.5× 59 0.7× 14 995
Keiko Hashimoto Japan 16 340 1.1× 63 0.5× 233 1.8× 81 0.9× 38 0.4× 56 883
Xia Chen China 14 307 1.0× 75 0.6× 56 0.4× 22 0.3× 152 1.8× 38 666
Jay L. Vivian United States 20 947 3.2× 119 0.9× 107 0.8× 52 0.6× 125 1.5× 45 1.3k
Eliška Krejčí Czechia 13 392 1.3× 85 0.6× 45 0.3× 24 0.3× 63 0.7× 24 651
Kerri Dawson Canada 7 512 1.7× 70 0.5× 163 1.3× 23 0.3× 92 1.1× 8 872
Wan-Jin Lu United States 13 652 2.2× 116 0.9× 40 0.3× 47 0.5× 115 1.4× 16 841
S.Y. Moon South Korea 8 412 1.4× 197 1.5× 74 0.6× 16 0.2× 96 1.1× 18 697
Louise Hyslop United Kingdom 11 1.0k 3.5× 185 1.4× 334 2.6× 75 0.9× 47 0.6× 17 1.4k

Countries citing papers authored by I‐Hsuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by I‐Hsuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I‐Hsuan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Hsuan Liu. A scholar is included among the top collaborators of I‐Hsuan 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 I‐Hsuan Liu. I‐Hsuan 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
1.
Lee, Tang, Tingyang Chen, I‐Hsuan Liu, & Chia‐Hsiang Yang. (2025). A 40-nm 131-mW 6.4-Gb/s 256 × 32 Multi-User MIMO OTFS Detector for Next-Gen Communication Systems. IEEE Journal of Solid-State Circuits. 60(9). 3428–3441.
2.
Lin, Feng‐Huei, et al.. (2024). Enhancing intrinsic TGF-β signaling via heparan sulfate glycosaminoglycan regulation to promote mesenchymal stem cell capabilities and chondrogenesis for cartilage repair. International Journal of Biological Macromolecules. 282(Pt 6). 137242–137242. 2 indexed citations
3.
Liu, I‐Hsuan, et al.. (2024). Long-Term Yo-Yo Dieting Exaggerates Liver Steatosis and Lesions but Preserves Muscle Performance in Male Zebrafish. International Journal of Molecular Sciences. 25(23). 13225–13225. 1 indexed citations
4.
Lee, Tang, Tingyang Chen, I‐Hsuan Liu, & Chia‐Hsiang Yang. (2024). 2.6 A 131mW 6.4Gbps 256×32 Multi-User MIMO OTFS Detector for Next-Gen Communication Systems. 46–48. 1 indexed citations
5.
Chang, Ya-Pei, et al.. (2023). Outcomes in Dogs with Multiple Sites of Cervical Intervertebral Disc Disease Treated with Single Ventral Slot Decompression. Veterinary Sciences. 10(6). 377–377. 1 indexed citations
6.
Liu, I‐Hsuan, et al.. (2023). In Vitro and In Vivo Antimelanogenesis Effects of Leaf Essential Oil from Agathis dammara. Pharmaceutics. 15(9). 2269–2269. 4 indexed citations
7.
Lu, Rita Jui-Hsien, Yi‐Tzang Tsai, Shih‐Kuo Chen, et al.. (2021). Transcriptome Analysis of Dnmt3l Knock-Out Mice Derived Multipotent Mesenchymal Stem/Stromal Cells During Osteogenic Differentiation. Frontiers in Cell and Developmental Biology. 9. 615098–615098. 4 indexed citations
8.
Kawakami, Koichi, et al.. (2020). Chondroitin sulfate proteoglycan 4 regulates zebrafish body axis organization via Wnt/planar cell polarity pathway. PLoS ONE. 15(4). e0230943–e0230943. 4 indexed citations
9.
Chang, Kai‐Wei, Yi-Chen Chen, Yi‐Chun Chen, et al.. (2018). Stage-dependent piRNAs in chicken implicated roles in modulating male germ cell development. BMC Genomics. 19(1). 6 indexed citations
10.
HuangFu, Wei‐Chun, et al.. (2018). Age, but not short-term intensive swimming, affects chondrocyte turnover in zebrafish vertebral cartilage. PeerJ. 6. e5739–e5739. 5 indexed citations
11.
12.
Ding, Shih‐Torng, et al.. (2016). Sterol O-Acyltransferase 2 Contributes to the Yolk Cholesterol Trafficking during Zebrafish Embryogenesis. PLoS ONE. 11(12). e0167644–e0167644. 18 indexed citations
13.
Xiao, Guan-Yu, et al.. (2016). Exosomal miR-10a derived from amniotic fluid stem cells preserves ovarian follicles after chemotherapy. Scientific Reports. 6(1). 23120–23120. 160 indexed citations
14.
Chang, Ya-Pei, et al.. (2016). Outbreak of thiamine deficiency in cats associated with the feeding of defective dry food. Journal of Feline Medicine and Surgery. 19(4). 336–343. 14 indexed citations
15.
Chang, Kai‐Wei, I‐Hsuan Liu, Yihui Wang, et al.. (2015). Emergence of differentially regulated pathways associated with the development of regional specificity in chicken skin. BMC Genomics. 16(1). 22–22. 15 indexed citations
16.
Liu, I‐Hsuan, et al.. (2014). Heparan sulfate glycosaminoglycans modulate migration and survival in zebrafish primordial germ cells. Theriogenology. 81(9). 1275–1285.e2. 11 indexed citations
17.
Chang, Ya-Pei, et al.. (2014). The canine epiphyseal-derived mesenchymal stem cells are comparable to bone marrow derived-mesenchymal stem cells. Journal of Veterinary Medical Science. 77(3). 273–280. 8 indexed citations
18.
Lian, Wei‐Shiung, Felix Shih‐Hsiang Hsiao, I‐Hsuan Liu, et al.. (2012). Isolation and Characterization of Novel Murine Epiphysis Derived Mesenchymal Stem Cells. PLoS ONE. 7(4). e36085–e36085. 33 indexed citations
19.
Liu, I‐Hsuan, Chengjin Zhang, Jong Min Kim, & Gregory J. Cole. (2008). Retina development in zebrafish requires the heparan sulfate proteoglycan agrin. Developmental Neurobiology. 68(7). 877–898. 25 indexed citations
20.
Liu, I‐Hsuan, Vladimir N. Uversky, Larissa A. Munishkina, et al.. (2005). Agrin binds α-synuclein and modulates α-synuclein fibrillation. Glycobiology. 15(12). 1320–1331. 60 indexed citations

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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