Po-Chien Chou

534 total citations
8 papers, 398 citations indexed

About

Po-Chien Chou is a scholar working on Molecular Biology, Biomaterials and Immunology. According to data from OpenAlex, Po-Chien Chou has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Immunology. Recurrent topics in Po-Chien Chou's work include Nanoparticle-Based Drug Delivery (2 papers), Lanthanide and Transition Metal Complexes (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Po-Chien Chou is often cited by papers focused on Nanoparticle-Based Drug Delivery (2 papers), Lanthanide and Transition Metal Complexes (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Po-Chien Chou collaborates with scholars based in Taiwan, United States and China. Po-Chien Chou's co-authors include Guy Werlen, Fumio Matsumura, Simon C. Watkins, Michael W. Lipscomb, Kate M. Vignali, Marcel P. Bruchez, Estela Jacinto, Clifford S. Guy, Xueyan Liu and Dario A.A. Vignali and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Nature Immunology.

In The Last Decade

Po-Chien Chou

8 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Po-Chien Chou Taiwan	6	189	169	106	47	46	8	398
Irina Häuselmann Switzerland	3	291 1.5×	180 1.1×	92 0.9×	47 1.0×	54 1.2×	3	378
Clifford R. Restaino United States	5	140 0.7×	174 1.0×	94 0.9×	37 0.8×	17 0.4×	5	338
Matthias Kaup Germany	14	327 1.7×	74 0.4×	67 0.6×	38 0.8×	52 1.1×	21	445
Esmeralda Beck-Garcìa Germany	7	118 0.6×	220 1.3×	143 1.3×	24 0.5×	39 0.8×	9	371
Zhang Lian-feng China	11	289 1.5×	85 0.5×	78 0.7×	91 1.9×	41 0.9×	16	416
Sonia Brockway United States	7	300 1.6×	167 1.0×	171 1.6×	91 1.9×	36 0.8×	8	472
Amritha Kidiyoor United States	8	182 1.0×	97 0.6×	133 1.3×	72 1.5×	23 0.5×	10	312
Martín Enrique Rabassa Argentina	10	233 1.2×	97 0.6×	103 1.0×	37 0.8×	39 0.8×	19	349
Brian E. Hsu Canada	7	146 0.8×	236 1.4×	162 1.5×	60 1.3×	15 0.3×	9	425
Christin A. Hamilton United States	7	320 1.7×	136 0.8×	100 0.9×	53 1.1×	39 0.8×	9	506

Countries citing papers authored by Po-Chien Chou

Since Specialization

Citations

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

Fields of papers citing papers by Po-Chien Chou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Chien Chou. 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 Po-Chien Chou. The network helps show where Po-Chien Chou may publish in the future.

Co-authorship network of co-authors of Po-Chien Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Po-Chien Chou. A scholar is included among the top collaborators of Po-Chien Chou 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 Po-Chien Chou. Po-Chien Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Guy, Clifford S., Diana M. Mitrea, Po-Chien Chou, et al.. (2022). LAG3 associates with TCR–CD3 complexes and suppresses signaling by driving co-receptor–Lck dissociation. Nature Immunology. 23(5). 757–767. 127 indexed citations

Huang, Haw‐Ming, Po-Chien Chou, Hsin‐Ta Wang, et al.. (2021). Enhancement of T2* Weighted MRI Imaging Sensitivity of U87MG Glioblastoma Cells Using γ-Ray Irradiated Low Molecular Weight Hyaluronic Acid-Conjugated Iron Nanoparticles. International Journal of Nanomedicine. Volume 16. 3789–3802. 4 indexed citations

Chou, Po-Chien, Xiaoyun Zhao, Won Jun Oh, et al.. (2020). mTORC2 Is Involved in the Induction of RSK Phosphorylation by Serum or Nutrient Starvation. Cells. 9(7). 1567–1567. 12 indexed citations

Wang, Hsin‐Ta, Po-Chien Chou, Chi‐Ming Lee, et al.. (2020). Physical and Biological Evaluation of Low-Molecular-Weight Hyaluronic Acid/Fe3O4 Nanoparticle for Targeting MCF7 Breast Cancer Cells. Polymers. 12(5). 1094–1094. 16 indexed citations

Moloughney, Joseph G., Peter K. Kim, Sisi Zhang, et al.. (2016). mTORC2 Responds to Glutamine Catabolite Levels to Modulate the Hexosamine Biosynthesis Enzyme GFAT1. Molecular Cell. 63(5). 811–826. 109 indexed citations

Yamakita, Yoshihiko, Fumio Matsumura, Michael W. Lipscomb, et al.. (2011). Fascin1 Promotes Cell Migration of Mature Dendritic Cells. The Journal of Immunology. 186(5). 2850–2859. 75 indexed citations

Teng, Shu‐Chun, Yung‐Yi Chen, Yi‐Ning Su, et al.. (2004). Direct Activation of HSP90A Transcription by c-Myc Contributes to c-Myc-induced Transformation. Journal of Biological Chemistry. 279(15). 14649–14655. 52 indexed citations

Ju, Jyh-Cherng, et al.. (2003). Differential Influences in Sizes and Cell Cycle Stages of Donor Blastomeres on the Development of Cloned Rabbit Embryos. Asian-Australasian Journal of Animal Sciences. 16(1). 15–22. 3 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.

Explore authors with similar magnitude of impact