Susumu Goto

64.6k total citations · 9 hit papers
143 papers, 47.1k citations indexed

About

Susumu Goto is a scholar working on Molecular Biology, Computational Theory and Mathematics and Ecology. According to data from OpenAlex, Susumu Goto has authored 143 papers receiving a total of 47.1k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 27 papers in Computational Theory and Mathematics and 15 papers in Ecology. Recurrent topics in Susumu Goto's work include Microbial Metabolic Engineering and Bioproduction (41 papers), Bioinformatics and Genomic Networks (40 papers) and Genomics and Phylogenetic Studies (35 papers). Susumu Goto is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (41 papers), Bioinformatics and Genomic Networks (40 papers) and Genomics and Phylogenetic Studies (35 papers). Susumu Goto collaborates with scholars based in Japan, Spain and Sweden. Susumu Goto's co-authors include Minoru Kanehisa, Hiroyuki Ogata, Wataru Fujibuchi, Hidemasa Bono, Miho Furumichi, Yoko Sato, Mika Hirakawa, Mao Tanabe, Mikio Tanabe and Masahiro Hattori and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Environmental Science & Technology.

In The Last Decade

Susumu Goto

139 papers receiving 46.5k citations

Hit Papers

KEGG: Kyoto Encyclopedia of Genes and Genomes 1999 2026 2008 2017 1999 2007 2011 2013 2009 5.0k 10.0k 15.0k 20.0k 25.0k
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.

  1. KEGG: Kyoto Encyclopedia of Genes and Genomes
    1999 25.5k citations Hiroyuki Ogata, Susumu Goto et al. Nucleic Acids Research profile →
  2. KEGG for linking genomes to life and the environment
    2007 5.4k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →
  3. 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 →
  4. Data, information, knowledge and principle: back to metabolism in KEGG
    2013 2.4k citations Minoru Kanehisa, Susumu Goto et al. Nucleic Acids Research profile →
  5. 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 →
  6. 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 →
  7. ViPTree: the viral proteomic tree server
    2017 548 citations Yosuke Nishimura, Takashi Yoshida et al. Bioinformatics profile →
  8. jPOSTrepo: an international standard data repository for proteomes
    2016 479 citations Shujiro Okuda, Yu Watanabe et al. Nucleic Acids Research profile →
  9. Linking Virus Genomes with Host Taxonomy
    2016 274 citations Yosuke Nishimura, Yugo Shimizu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susumu Goto Japan 47 31.5k 5.9k 5.0k 4.9k 4.3k 143 47.1k
Nitin S. Baliga United States 46 26.6k 0.8× 5.1k 0.9× 3.3k 0.7× 5.9k 1.2× 3.9k 0.9× 144 41.8k
Hiroyuki Ogata Japan 53 22.4k 0.7× 5.4k 0.9× 7.0k 1.4× 3.5k 0.7× 3.6k 0.8× 220 37.0k
David S. Wishart Canada 112 48.3k 1.5× 5.3k 0.9× 5.0k 1.0× 3.0k 0.6× 5.0k 1.1× 553 75.7k
Benno Schwikowski France 23 24.6k 0.8× 4.6k 0.8× 2.1k 0.4× 5.6k 1.1× 3.1k 0.7× 53 38.3k
Damian Szklarczyk Switzerland 32 31.9k 1.0× 4.9k 0.8× 3.1k 0.6× 6.7k 1.4× 4.5k 1.1× 43 51.0k
Gavin Sherlock United States 52 35.0k 1.1× 5.4k 0.9× 2.0k 0.4× 4.6k 0.9× 6.3k 1.5× 127 49.1k
Trey Ideker United States 81 46.8k 1.5× 6.4k 1.1× 2.7k 0.5× 8.2k 1.7× 6.4k 1.5× 246 66.9k
Christian von Mering Switzerland 68 45.6k 1.4× 7.0k 1.2× 6.0k 1.2× 7.5k 1.5× 6.3k 1.4× 134 69.7k
Nada Amin United States 13 21.8k 0.7× 4.5k 0.8× 2.1k 0.4× 5.5k 1.1× 2.9k 0.7× 31 35.2k
Yoko Sato Japan 31 19.1k 0.6× 4.0k 0.7× 3.6k 0.7× 3.4k 0.7× 2.8k 0.6× 137 30.8k

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

20 of 20 papers shown
1.
Aoki‐Kinoshita, Kiyoko F., Hirokazu Chiba, Susumu Goto, et al.. (2025). Expanding the concept of ID conversion in TogoID by introducing multi-semantic and label features. Journal of Biomedical Semantics. 16(1). 1–1.
2.
Okuda, Shujiro, Akiyasu C. Yoshizawa, Daiki Kobayashi, et al.. (2024). jPOST environment accelerates the reuse and reanalysis of public proteome mass spectrometry data. Nucleic Acids Research. 53(D1). D462–D467. 15 indexed citations
3.
Shiroma, Hirotsugu, Youssef Darzi, Naoki Tsukuda, et al.. (2024). Enteropathway: the metabolic pathway database for the human gut microbiota. Briefings in Bioinformatics. 25(5). 1 indexed citations
4.
Ono, Hiromasa, Tazro Ohta, Hirokazu Chiba, et al.. (2022). TogoID: an exploratory ID converter to bridge biological datasets. Bioinformatics. 38(17). 4194–4199. 6 indexed citations
5.
Blanc‐Mathieu, Romain, et al.. (2019). KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold. Bioinformatics. 36(7). 2251–2252. 1159 indexed citations breakdown →
6.
Yoshida, Takashi, Yosuke Nishimura, Daichi Morimoto, et al.. (2018). Locality and diel cycling of viral production revealed by a 24 h time course cross-omics analysis in a coastal region of Japan. The ISME Journal. 12(5). 1287–1295. 32 indexed citations
7.
Nishiyama, Hiroki, Tomoyuki Nagai, Masatoshi Kudo, et al.. (2017). Supplementation of pancreatic digestive enzymes alters the composition of intestinal microbiota in mice. Biochemical and Biophysical Research Communications. 495(1). 273–279. 46 indexed citations
8.
Shimizu, Yugo, Hiroyuki Ogata, & Susumu Goto. (2016). Type III Polyketide Synthases: Functional Classification and Phylogenomics. ChemBioChem. 18(1). 50–65. 91 indexed citations
9.
Kanehisa, Minoru, Susumu Goto, Yoko Sato, Miho Furumichi, & Mikio Tanabe. (2011). KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Research. 40(D1). D109–D114. 3753 indexed citations breakdown →
10.
Díez, Diego, Åsa M. Wheelock, Susumu Goto, et al.. (2009). The use of network analyses for elucidating mechanisms in cardiovascular disease. Molecular BioSystems. 6(2). 289–304. 75 indexed citations
11.
Hashimoto, Kosuke, Akiyasu C. Yoshizawa, Shujiro Okuda, et al.. (2007). The repertoire of desaturases and elongases reveals fatty acid variations in 56 eukaryotic genomes. Journal of Lipid Research. 49(1). 183–191. 160 indexed citations
12.
Noguchi, Tomohiro, Xiao‐Qin Ren, Shunji Aoki, et al.. (2005). MRP1 mutated in the L0 region transports SN-38 but not leukotriene C4 or estradiol-17 (β-d-glucuronate). Biochemical Pharmacology. 70(7). 1056–1065. 7 indexed citations
13.
Yamada, Takuji, et al.. (2003). Comprehensive Analysis of Delay in Transcriptional Regulation Using Expression Profiles. Proceedings Genome Informatics Workshop/Genome informatics. 14. 302–303. 8 indexed citations
14.
Limviphuvadh, Vachiranee, Yasushi Okuno, Toshiaki Katayama, et al.. (2003). Metabolic Pathway Reconstruction for Malaria Parasite Plasmodium falciparum. Proceedings Genome Informatics Workshop/Genome informatics. 14. 368–369. 1 indexed citations
15.
Hashimoto, Kosuke, et al.. (2003). GLYCAN: The Database of Carbohydrate Structures. Proceedings Genome Informatics Workshop/Genome informatics. 14(14). 649–650. 4 indexed citations
16.
Tanaka, Michihiro, Yasushi Okuno, Takuji Yamada, et al.. (2003). Extraction of a Thermodynamic Property for Biochemical Reactions in the Metabolic Pathway. Proceedings Genome Informatics Workshop/Genome informatics. 14. 370–371. 7 indexed citations
17.
Okuno, Yasushi, et al.. (2002). Improvement of the LIGAND Chemical Database. Proceedings Genome Informatics Workshop/Genome informatics. 13. 492–493. 3 indexed citations
18.
Kotera, Masaaki, Yasushi Okuno, Masahiro Hattori, Susumu Goto, & Minoru Kanehisa. (2002). Classification and Analysis of KEGG/REACTION Database. Proceedings Genome Informatics Workshop/Genome informatics. 13(13). 490–491. 2 indexed citations
19.
Sato, Yoko, et al.. (2001). SSDB: Sequence Similarity Database in KEGG. Proceedings Genome Informatics Workshop/Genome informatics. 12. 230–231. 8 indexed citations
20.
Goto, Susumu. (2000). DBGET/LinkDB. An Integrated Database Retrieval System for Molecular Biology.. Trends in Glycoscience and Glycotechnology. 12(63). 51–58. 1 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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