Tsu-Pei Chiu

833 total citations
14 papers, 483 citations indexed

About

Tsu-Pei Chiu is a scholar working on Molecular Biology, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Tsu-Pei Chiu has authored 14 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 1 paper in Cognitive Neuroscience and 1 paper in Epidemiology. Recurrent topics in Tsu-Pei Chiu's work include Genomics and Chromatin Dynamics (10 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Phylogenetic Studies (4 papers). Tsu-Pei Chiu is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Phylogenetic Studies (4 papers). Tsu-Pei Chiu collaborates with scholars based in United States, Singapore and United Kingdom. Tsu-Pei Chiu's co-authors include Remo Rohs, Richard S. Mann, Tianyin Zhou, Renato Paro, Lin Yang, Federico Comoglio, Jared Sagendorf, Barry Honig, Alberto Pérez and Marco Pasi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Tsu-Pei Chiu

14 papers receiving 483 citations

Peers

Countries citing papers authored by Tsu-Pei Chiu

Since Specialization

Citations

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

Fields of papers citing papers by Tsu-Pei Chiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsu-Pei Chiu. 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 Tsu-Pei Chiu. The network helps show where Tsu-Pei Chiu may publish in the future.

Co-authorship network of co-authors of Tsu-Pei Chiu

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Predicting DNA structure using a deep learning method 2024 ·Nature Communications ·(unknown), Tsu-Pei Chiu, Remo Rohs	25
2	Geometric deep learning of protein–DNA binding specificity 2024 ·Nature Methods ·(unknown), (unknown), Jared Sagendorf, (unknown), (unknown), Tsu-Pei Chiu, Cameron J. Glasscock, Remo Rohs	22
3	Probing the role of the protonation state of a minor groove-linker histidine in Exd-Hox–DNA binding 2023 ·Biophysical Journal ·(unknown), Tsu-Pei Chiu, (unknown), Remo Rohs	4
4	Physicochemical models of protein–DNA binding with standard and modified base pairs 2023 ·Proceedings of the National Academy of Sciences ·Tsu-Pei Chiu, (unknown), Remo Rohs	16
5	Macrophages activated by hepatitis B virus have distinct metabolic profiles and suppress the virus via IL-1β to downregulate PPARα and FOXO3 2022 ·Cell Reports ·Yumei Li, (unknown), Shu Feng, Yuji Ishida, Tsu-Pei Chiu, Takeshi Saito, (unknown), David K. Ann, Jing‐hsiung James Ou	31
6	Top-Down Crawl: a method for the ultra-rapid and motif-free alignment of sequences with associated binding metrics 2022 ·Bioinformatics ·(unknown), Tsu-Pei Chiu, Remo Rohs	2
7	Epigenetic competition reveals density-dependent regulation and target site plasticity of phosphorothioate epigenetics in bacteria 2020 ·Proceedings of the National Academy of Sciences ·Xiaolin Wu, Bo Cao, (unknown), Tsu-Pei Chiu, Chao Chen, Susu Jiang, Zixin Deng, Shi Chen, Remo Rohs, Lianrong Wang, James E. Galagan, Peter C. Dedon	28
8	TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites 2019 ·Nucleic Acids Research ·Tsu-Pei Chiu, Beibei Xin, (unknown), Yingfei Wang, Remo Rohs	30
9	Experimental maps of DNA structure at nucleotide resolution distinguish intrinsic from protein-induced DNA deformations 2018 ·Nucleic Acids Research ·(unknown), (unknown), (unknown), Yining Jiang, Tsu-Pei Chiu, Jared Sagendorf, Remo Rohs, Thomas D. Tullius	19
10	Systematic prediction of DNA shape changes due to CpG methylation explains epigenetic effects on protein–DNA binding 2018 ·Epigenetics & Chromatin ·(unknown), Tsu-Pei Chiu, Judith F. Kribelbauer, Richard S. Mann, Harmen J. Bussemaker, Remo Rohs	62
11	Expanding the repertoire of DNA shape features for genome-scale studies of transcription factor binding 2017 ·Nucleic Acids Research ·(unknown), Jared Sagendorf, Tsu-Pei Chiu, Marco Pasi, Alberto Pérez, Remo Rohs	73
12	Genome-wide prediction of minor-groove electrostatic potential enables biophysical modeling of protein–DNA binding 2017 ·Nucleic Acids Research ·Tsu-Pei Chiu, (unknown), Richard S. Mann, Barry Honig, Remo Rohs	63
13	DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding 2015 ·Bioinformatics ·Tsu-Pei Chiu, Federico Comoglio, Tianyin Zhou, Lin Yang, Renato Paro, Remo Rohs	107
14	Following the feeling: Proprioceptive smooth pursuit revisited 2010 ·Journal of Vision ·Marian E. Berryhill, Tsu-Pei Chiu, Harriet Hughes	1

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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