Tamotsu Noguchi

798 total citations
29 papers, 600 citations indexed

About

Tamotsu Noguchi is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Tamotsu Noguchi has authored 29 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Tamotsu Noguchi's work include Protein Structure and Dynamics (20 papers), Machine Learning in Bioinformatics (16 papers) and RNA and protein synthesis mechanisms (9 papers). Tamotsu Noguchi is often cited by papers focused on Protein Structure and Dynamics (20 papers), Machine Learning in Bioinformatics (16 papers) and RNA and protein synthesis mechanisms (9 papers). Tamotsu Noguchi collaborates with scholars based in Japan, China and Czechia. Tamotsu Noguchi's co-authors include Shuichi Hirose, Kana Shimizu, Ken Nishikawa, Yutaka Kuroda, Hayato Yamana, Chun Fang, Yutaka Akiyama, Yoichi Muraoka, Kentaro Tomii and Makoto Ando and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Tamotsu Noguchi

25 papers receiving 580 citations

Peers

Countries citing papers authored by Tamotsu Noguchi

Since Specialization

Citations

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

Fields of papers citing papers by Tamotsu Noguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamotsu Noguchi. 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 Tamotsu Noguchi. The network helps show where Tamotsu Noguchi may publish in the future.

Co-authorship network of co-authors of Tamotsu Noguchi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Molecular basis of the autoregulatory mechanism of motor neuron-related splicing factor 30 2025 ·Journal of Biological Chemistry ·Keiichi Izumikawa, Toshio Shida, (unknown), (unknown), (unknown), (unknown), Yasuyuki Suda, (unknown), (unknown), Minoru Sugihara, Tamotsu Noguchi, Masami Nagahama	0
2	Exon Elongation Added Intrinsically Disordered Regions to the Encoded Proteins and Facilitated the Emergence of the Last Eukaryotic Common Ancestor 2022 ·Molecular Biology and Evolution ·Satoshi Fukuchi, Tamotsu Noguchi, (unknown), Keiichi Homma	0
3	A Privacy-Preserving Query System using Fully Homomorphic Encryption with Real-World Implementation for Medicine-Side Effect Search 2019 ·Waseda University Repository (Waseda University) ·Yusheng Jiang, Tamotsu Noguchi, (unknown), (unknown), (unknown), (unknown), Hayato Yamana	5
4	Codon usage is less optimized in eukaryotic gene segments encoding intrinsically disordered regions than in those encoding structural domains 2016 ·Nucleic Acids Research ·Keiichi Homma, Tamotsu Noguchi, Satoshi Fukuchi	10
5	Simplified sequence-based method for ATP-binding prediction using contextual local evolutionary conservation 2014 ·Algorithms for Molecular Biology ·Chun Fang, Tamotsu Noguchi, Hayato Yamana	12
6	MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation 2013 ·BMC Bioinformatics ·Chun Fang, Tamotsu Noguchi, (unknown), Hayato Yamana	54
7	Sequence-Based Prediction of Molecular Recognition Features in Disordered Proteins 2013 ·Chun Fang, Hayato Yamana, Tamotsu Noguchi	2
8	Statistical analysis of features associated with protein expression/solubility in an in vivo Escherichia coli expression system and a wheat germ cell-free expression system 2011 ·The Journal of Biochemistry ·Shuichi Hirose, Yoshifumi Kawamura, (unknown), Toshihiro Kuroita, Tohru Natsume, (unknown), Takeshi Tsutsumi, Yorimasa Suwa, Takao Isogai, Naoki Goshima, Tamotsu Noguchi	18
9	SAHG, a comprehensive database of predicted structures of all human proteins 2010 ·Nucleic Acids Research ·(unknown), (unknown), Ryotaro Koike, Kana Shimizu, Matsuyuki Shirota, (unknown), Kentaro Tomii, Nozomi Nagano, (unknown), (unknown), Miwa Sato, Akinori Kidera, Hidekazu Hiroaki, Tsuyoshi Shirai, Kengo Kinoshita, Tamotsu Noguchi, Motonori Ota	9
10	POODLE-I: Disordered Region Prediction by Integrating POODLE Series and Structural Information Predictors Based on a Workflow Approach 2010 ·In Silico Biology ·Shuichi Hirose, Kana Shimizu, Tamotsu Noguchi	21
11	Prediction of protein motions from amino acid sequence and its application to protein-protein interaction 2010 ·BMC Structural Biology ·Shuichi Hirose, (unknown), Yutaka Kuroda, Hiroshi Wako, Shigeru Endo, Satoru Kanai, Tamotsu Noguchi	14
12	Development and evaluation of data-driven designed tags (DDTs) for controlling protein solubility 2010 ·New Biotechnology ·Shuichi Hirose, Yoshifumi Kawamura, Masatoshi Mori, (unknown), Tamotsu Noguchi, Naoki Goshima	9
13	Predicting mostly disordered proteins by using structure-unknown protein data 2007 ·BMC Bioinformatics ·Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Kentaro Tomii, Tamotsu Noguchi	53
14	POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions 2007 ·Bioinformatics ·Shuichi Hirose, Kana Shimizu, (unknown), Yutaka Kuroda, Tamotsu Noguchi	117
15	Systematic comparison of catalytic mechanisms of hydrolysis and transfer reactions classified in the EzCatDB database 2006 ·Proteins Structure Function and Bioinformatics ·Nozomi Nagano, Tamotsu Noguchi, Yutaka Akiyama	13
16	Quick selection of representative protein chain sets based on customizable requirements 2000 ·Bioinformatics ·Tamotsu Noguchi, (unknown), Makoto Ando, Hideo Matsuda, Yutaka Akiyama	5
17	ESCAPE: Parallel Tree Search System for Conformational Analysis of Peptides. 1999 ·Tokyo Tech Research Repository (Tokyo Institute of Technology) ·Makoto Ando, Yutaka Akiyama, (unknown), Tamotsu Noguchi	0
18	Parallel Protein Information Analysis (PAPIA) System Running on a 64-Node PC Cluster. 1998 ·PubMed ·Yutaka Akiyama, (unknown), Tamotsu Noguchi, Makoto Ando	26
19	Employing A* Algorithm in Parallel Multiple Protein Sequence Alignment 1997 ·IPSJ SIG Notes ·Yasushi Totoki, Yutaka Akiyama, (unknown), Tamotsu Noguchi, Minoru Saito, (unknown)	1
20	PDB-REPRDB: a database of representative protein chains in PDB (Protein Data Bank). 1997 ·PubMed ·Tamotsu Noguchi, (unknown), Yutaka Akiyama, Minoru Saito	10

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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