I-Chun Chou

902 total citations
10 papers, 660 citations indexed

About

I-Chun Chou is a scholar working on Molecular Biology, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, I-Chun Chou has authored 10 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Control and Systems Engineering and 1 paper in Signal Processing. Recurrent topics in I-Chun Chou's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). I-Chun Chou is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). I-Chun Chou collaborates with scholars based in United States, Taiwan and Norway. I-Chun Chou's co-authors include Eberhard O. Voit, Harald Martens, Gautam Goel, Ana Tereza Ribeiro de Vasconcelos, Marco Vilela, Susana Vinga, Jonas S. Almeida, Nicholas V. Hud, Chiaolong Hsiao and Shreyas S. Athavale and has published in prestigious journals such as Bioinformatics, Nature Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

I-Chun Chou

10 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I-Chun Chou United States	8	538	80	62	60	45	10	660
Gabriele Lillacci United States	7	507 0.9×	104 1.3×	61 1.0×	28 0.5×	53 1.2×	13	627
William Ott United States	15	383 0.7×	121 1.5×	18 0.3×	48 0.8×	102 2.3×	40	737
Michael S. Samoilov United States	10	544 1.0×	158 2.0×	20 0.3×	11 0.2×	51 1.1×	15	649
Tetsuya J. Kobayashi Japan	12	332 0.6×	127 1.6×	17 0.3×	13 0.2×	41 0.9×	38	417
Evangelos Simeonidis United Kingdom	15	699 1.3×	40 0.5×	12 0.2×	43 0.7×	226 5.0×	24	793
Elisenda Feliu Denmark	16	515 1.0×	76 0.9×	9 0.1×	21 0.3×	37 0.8×	49	667
Dario Pescini Italy	15	449 0.8×	33 0.4×	38 0.6×	9 0.1×	70 1.6×	44	595
Jayodita C. Sanghvi United States	5	905 1.7×	188 2.4×	19 0.3×	12 0.2×	123 2.7×	8	1.1k
Joerg Stelling Switzerland	16	915 1.7×	106 1.3×	52 0.8×	27 0.5×	171 3.8×	28	1.1k
Irene Otero‐Muras Spain	17	416 0.8×	64 0.8×	17 0.3×	114 1.9×	70 1.6×	52	614

Countries citing papers authored by I-Chun Chou

Since Specialization

Citations

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

Fields of papers citing papers by I-Chun Chou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I-Chun Chou

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

All Works

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10 of 10 papers shown

Hsiao, Chiaolong, I-Chun Chou, C. Denise Okafor, et al.. (2013). RNA with iron(II) as a cofactor catalyses electron transfer. Nature Chemistry. 5(6). 525–528. 62 indexed citations

Chou, I-Chun & Eberhard O. Voit. (2012). Estimation of dynamic flux profiles from metabolic time series data. BMC Systems Biology. 6(1). 84–84. 34 indexed citations

Chou, I-Chun & Eberhard O. Voit. (2009). Recent developments in parameter estimation and structure identification of biochemical and genomic systems. Mathematical Biosciences. 219(2). 57–83. 280 indexed citations

Vilela, Marco, I-Chun Chou, Susana Vinga, et al.. (2008). Parameter optimization in S-system models. BMC Systems Biology. 2(1). 35–35. 71 indexed citations

Goel, Gautam, I-Chun Chou, & Eberhard O. Voit. (2008). System estimation from metabolic time-series data. Bioinformatics. 24(21). 2505–2511. 66 indexed citations

Chou, I-Chun, Harald Martens, & Eberhard O. Voit. (2007). Parameter estimation of S-distributions with alternating regression.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 31(1). 55–74. 4 indexed citations

Chou, I-Chun, Harald Martens, & Eberhard O. Voit. (2006). Parameter estimation in biochemical systems models with alternating regression. Theoretical Biology and Medical Modelling. 3(1). 25–25. 106 indexed citations

Goel, Gautam, I-Chun Chou, & Eberhard O. Voit. (2006). Biological systems modeling and analysis: a biomolecular technique of the twenty-first century.. PubMed. 17(4). 252–69. 24 indexed citations

Yang, Chia‐Hung, et al.. (2003). Preferential binding to DNA sequences of peptides related to a novel XPRK motif. Bioorganic & Medicinal Chemistry. 11(15). 3279–3288. 7 indexed citations

10.

Yang, Chia‐Hung, I-Chun Chou, Pei‐Hsuan Lin, et al.. (2003). DNA sequence-specific recognition of peptides incorporating the HPRK and polyamide motifs. Bioorganic & Medicinal Chemistry. 12(1). 53–61. 6 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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