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.
MetaGene: prokaryotic gene finding from environmental genome shotgun sequences
Countries citing papers authored by Toshihisa Takagi
Since
Specialization
Citations
This map shows the geographic impact of Toshihisa Takagi'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 Toshihisa Takagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihisa Takagi more than expected).
Fields of papers citing papers by Toshihisa Takagi
This network shows the impact of papers produced by Toshihisa Takagi. 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 Toshihisa Takagi. The network helps show where Toshihisa Takagi may publish in the future.
Co-authorship network of co-authors of Toshihisa Takagi
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihisa Takagi.
A scholar is included among the top collaborators of Toshihisa Takagi 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 Toshihisa Takagi. Toshihisa Takagi 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.
Kozaki, Kouji, et al.. (2017). Efficient Construction of a New Ontology for Life Sciences by Sub-classifying Related Terms in the Japan Science, Technology Agency Thesaurus..2 indexed citations
Takagi, Toshihisa, et al.. (2009). GuideLink: A Corpus Annotation System that Integrates the Management of Annotation Guidelines. Pacific Asia Conference on Language, Information, and Computation. 771–778.1 indexed citations
4.
Yamamoto, Satoko, et al.. (2004). The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature: Conference Papers. Comparative and Functional Genomics. 5(6). 528–536.2 indexed citations
Kitano, K., et al.. (1997). p53MDB: p53 Mutation Database. Proceedings Genome Informatics Workshop/Genome informatics. 8. 324–325.1 indexed citations
15.
Satou, Kenji, et al.. (1996). Development of a Deductive Database System for Computing Closures of Similarity Relationships among Protein Structures. 11(3). 440–450.2 indexed citations
Kuhara, Satoru, et al.. (1994). Development of an integrated database for genome mapping and nucleotide sequences. Hawaii International Conference on System Sciences. 68–76.1 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.