Susumu Goto

64.6k citations

143 papers · 47.1k indexed · 9 hit papers · h-index 47

Molecular Biology top 0.02%
Plant Science top 0.1%
Ecology top 0.1%
Cancer Research top 0.1%
Genetics top 0.2%

Co-authors: Minoru Kanehisa Hiroyuki Ogata Wataru Fujibuchi Hidemasa Bono Miho Furumichi Yoko Sato Mika Hirakawa Mao Tanabe
Topics: Microbial Metabolic Engineering and Bioproduction (41 papers)Bioinformatics and Genomic Networks (40 papers)Genomics and Phylogenetic Studies (35 papers)
Cited by: Molecular Biology Cancer Research Computational Theory and Mathematics
Journals: Journal of the American Chemical Society Nucleic Acids Research Environmental Science & Technology
Partner nations: Japan Spain Sweden

In The Last Decade

Susumu Goto

139 papers receiving 46.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

KEGG: Kyoto Encyclopedia of Genes and Genomes

1999 25.5k citations Hiroyuki Ogata, Susumu Goto et al. Nucleic Acids Research profile →
KEGG for linking genomes to life and the environment

2007 5.4k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →
KEGG for integration and interpretation of large-scale molecular data sets

2011 3.8k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →
Data, information, knowledge and principle: back to metabolism in KEGG

2013 2.4k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →
KEGG for representation and analysis of molecular networks involving diseases and drugs

2009 1.8k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →
KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold

2019 1.2k citations Romain Blanc‐Mathieu, Hisashi Endo et al. Bioinformatics profile →
ViPTree: the viral proteomic tree server

2017 548 citations Yosuke Nishimura, Takashi Yoshida et al. Bioinformatics profile →
jPOSTrepo: an international standard data repository for proteomes

2016 479 citations Shujiro Okuda, Yu Watanabe et al. Nucleic Acids Research profile →
Linking Virus Genomes with Host Taxonomy

2016 274 citations Yosuke Nishimura, Yugo Shimizu et al. profile →

Peers

Countries citing papers authored by Susumu Goto

Since Specialization

Citations

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

Fields of papers citing papers by Susumu Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susumu Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Goto. A scholar is included among the top collaborators of Susumu Goto 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 Susumu Goto. Susumu Goto 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Expanding the concept of ID conversion in TogoID by introducing multi-semantic and label features 2025 ·Journal of Biomedical Semantics ·(unknown),Kiyoko F. Aoki‐Kinoshita,Hirokazu Chiba,Susumu Goto,(unknown),Shuichi Kawashima,Jin-Dong Kim,Yuki Moriya,Tazro Ohta,Hiromasa Ono,(unknown),Yasunori Yamamoto,Toshiaki Katayama	0
2	Enteropathway: the metabolic pathway database for the human gut microbiota 2024 ·Briefings in Bioinformatics ·Hirotsugu Shiroma,Youssef Darzi,(unknown),(unknown),(unknown),Naoki Tsukuda,Yuki Moriya,Shujiro Okuda,Susumu Goto,Takuji Yamada	1
3	jPOST environment accelerates the reuse and reanalysis of public proteome mass spectrometry data 2024 ·Nucleic Acids Research ·Shujiro Okuda,Akiyasu C. Yoshizawa,Daiki Kobayashi,(unknown),Yu Watanabe,Yuki Moriya,Atsushi Hatano,Tomoyo Takami,Masaki Matsumoto,Norie Araki,Tsuyoshi Tabata,Mio Iwasaki,Naoyuki Sugiyama,Yoshio Kodera,Satoshi Tanaka,Susumu Goto,Shin Kawano,Yasushi Ishihama	15
4	TogoID: an exploratory ID converter to bridge biological datasets 2022 ·Bioinformatics ·(unknown),Hiromasa Ono,Tazro Ohta,Hirokazu Chiba,Yuki Naito,Yuki Moriya,Shuichi Kawashima,Yasunori Yamamoto,Shinobu Okamoto,Susumu Goto,Toshiaki Katayama	6
5	KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score thresholdbreakdown → 2019 ·Bioinformatics ·(unknown),Romain Blanc‐Mathieu,Hisashi Endo,(unknown),Minoru Kanehisa,Susumu Goto,Hiroyuki Ogata	1159
6	Locality and diel cycling of viral production revealed by a 24 h time course cross-omics analysis in a coastal region of Japan 2018 ·The ISME Journal ·Takashi Yoshida,Yosuke Nishimura,(unknown),(unknown),Daichi Morimoto,Hiroto Kaneko,Takashi Honda,Keigo Yamamoto,Pascal Hingamp,Yoshihiko Sako,Susumu Goto,Hiroyuki Ogata	32
7	Supplementation of pancreatic digestive enzymes alters the composition of intestinal microbiota in mice 2017 ·Biochemical and Biophysical Research Communications ·Hiroki Nishiyama,Tomoyuki Nagai,Masatoshi Kudo,(unknown),Yoshinao Azuma,Tomohiro Watanabe,Susumu Goto,Hiroyuki Ogata,Toshiharu Sakurai	46
8	Type III Polyketide Synthases: Functional Classification and Phylogenomics 2016 ·ChemBioChem ·Yugo Shimizu,Hiroyuki Ogata,Susumu Goto	91
9	KEGG for integration and interpretation of large-scale molecular data setsbreakdown → 2011 ·Nucleic Acids Research ·Minoru Kanehisa,Susumu Goto,Yoko Sato,Miho Furumichi,Mikio Tanabe	3753
10	Systems biology approaches and pathway tools for investigating cardiovascular disease 2009 ·Molecular BioSystems ·Craig E. Wheelock,Åsa M. Wheelock,Shuichi Kawashima,Diego Díez,Minoru Kanehisa,Marjan van Erk,Robert Kleemann,Jesper Z. Haeggström,Susumu Goto	69
11	The use of network analyses for elucidating mechanisms in cardiovascular disease 2009 ·Molecular BioSystems ·Diego Díez,Åsa M. Wheelock,Susumu Goto,Jesper Z. Haeggström,Gabrielle Paulsson‐Berne,Göran K. Hansson,Ulf Hedin,Anders Gabrielsen,Craig E. Wheelock	75
12	The repertoire of desaturases and elongases reveals fatty acid variations in 56 eukaryotic genomes 2007 ·Journal of Lipid Research ·Kosuke Hashimoto,Akiyasu C. Yoshizawa,Shujiro Okuda,Kei‐ichi Kuma,Susumu Goto,Minoru Kanehisa	160
13	Extraction of a Thermodynamic Property for Biochemical Reactions in the Metabolic Pathway 2003 ·Proceedings Genome Informatics Workshop/Genome informatics ·Michihiro Tanaka,Yasushi Okuno,Takuji Yamada,Susumu Goto,Shunsuke Uemura,Minoru Kanehisa	7
14	Classification of Protein Sequences into Paralog and Ortholog Clusters Using Sequence Similarity Profiles of KEGG/SSDB 2003 ·Proceedings Genome Informatics Workshop/Genome informatics ·(unknown),Toshiaki Katayama,Akihiro Nakaya,Susumu Goto,Minoru Kanehisa	2
15	GLYCAN: The Database of Carbohydrate Structures 2003 ·Proceedings Genome Informatics Workshop/Genome informatics ·Kosuke Hashimoto,(unknown),Susumu Goto,(unknown),(unknown),Minoru Kanehisa	4
16	Metabolic Pathway Reconstruction for Malaria Parasite Plasmodium falciparum 2003 ·Proceedings Genome Informatics Workshop/Genome informatics ·Vachiranee Limviphuvadh,Yasushi Okuno,Toshiaki Katayama,Susumu Goto,Akiyasu C. Yoshizawa,Minoru Kanehisa	1
17	Classification and Analysis of KEGG/REACTION Database 2002 ·Proceedings Genome Informatics Workshop/Genome informatics ·Masaaki Kotera,Yasushi Okuno,Masahiro Hattori,Susumu Goto,Minoru Kanehisa	2
18	Vzyme: A Template-Based Method to Predict Reactions between Two Chemical Compounds 2002 ·Proceedings Genome Informatics Workshop/Genome informatics ·Yasushi Okuno,Masahiro Hattori,Masaaki Kotera,Yoshinobu Igarashi,Susumu Goto,Minoru Kanehisa	2
19	KEGG: Kyoto Encyclopedia of Genes and Genomesbreakdown → 1999 ·Nucleic Acids Research ·Hiroyuki Ogata,Susumu Goto,(unknown),Wataru Fujibuchi,Hidemasa Bono,Minoru Kanehisa	25542
20	Genome Scale Prediction of Two-Component Signal Transducers from the Knowledgeof Regulatory Interactions 1997 ·Proceedings Genome Informatics Workshop/Genome informatics ·Hidemasa Bono,Susumu Goto,Hiroyuki Ogata,Minoru Kanehisa	1

About Susumu Goto

Susumu Goto is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology, having authored 143 papers that have together received 47.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (41 papers), Bioinformatics and Genomic Networks (40 papers) and Genomics and Phylogenetic Studies (35 papers). The work is most often cited by research in Molecular Biology (31.5k citations), Cancer Research (4.9k citations) and Computational Theory and Mathematics (3.6k citations). Susumu Goto has collaborated with scholars based in Japan, Spain and Sweden. Frequent co-authors include Minoru Kanehisa, Hiroyuki Ogata, Wataru Fujibuchi, Hidemasa Bono, Miho Furumichi, Yoko Sato, Mika Hirakawa, Mao Tanabe, Mikio Tanabe and Masahiro Hattori. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Environmental Science & Technology.

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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