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.
Integration of interferon-α/β signalling to p53 responses in tumour suppression and antiviral defence
Countries citing papers authored by Hideaki Kikuchi
Since
Specialization
Citations
This map shows the geographic impact of Hideaki Kikuchi'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 Hideaki Kikuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Kikuchi more than expected).
This network shows the impact of papers produced by Hideaki Kikuchi. 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 Hideaki Kikuchi. The network helps show where Hideaki Kikuchi may publish in the future.
Co-authorship network of co-authors of Hideaki Kikuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Kikuchi.
A scholar is included among the top collaborators of Hideaki Kikuchi 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 Hideaki Kikuchi. Hideaki Kikuchi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kikuchi, Hideaki, et al.. (2014). Estimation of Speaking Style in Speech Corpora Focusing on speech transcriptions. Language Resources and Evaluation. 2747–2752.1 indexed citations
3.
Kikuchi, Hideaki, et al.. (2013). Humor Utterance Generation Method for Non-task-oriented Dialogue System. Waseda University Repository (Waseda University). 113(338). 29–32.1 indexed citations
4.
Kikuchi, Hideaki, et al.. (2011). Collection and Analysis of Emotional Speech Focused on the Psychological and Acoustical Diversity.. ICPhS. 1394–1397.1 indexed citations
Kikuchi, Hideaki, et al.. (2009). Segmentation of the Accentual Phrase Based on the F0 Model. IEICE Technical Report; IEICE Tech. Rep.. 109(99). 99–103.
7.
Kikuchi, Hideaki, et al.. (2009). The dynamic structure of vowels in Infant-directed speech -- RIKEN Japanese Mother-Infant Conversation Corpus. IEICE Technical Report; IEICE Tech. Rep.. 109(308). 67–72.1 indexed citations
Ichikawa, Akira, Masahiro Araki, Hideki Kashioka, et al.. (1998). Standardising annotation schemes for Japanese discourse. Language Resources and Evaluation. 731–738.4 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.