Arata Honda

2.4k total citations
57 papers, 1.8k citations indexed

About

Arata Honda is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Arata Honda has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Genetics and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Arata Honda's work include CRISPR and Genetic Engineering (18 papers), Pluripotent Stem Cells Research (16 papers) and Animal Genetics and Reproduction (16 papers). Arata Honda is often cited by papers focused on CRISPR and Genetic Engineering (18 papers), Pluripotent Stem Cells Research (16 papers) and Animal Genetics and Reproduction (16 papers). Arata Honda collaborates with scholars based in Japan, United States and Thailand. Arata Honda's co-authors include Atsuo Ogura, Michiko Hirose, Tadashi Baba, Kimiko Inoue, Shin‐ichi Kashiwabara, Kazuo Yamagata, Shogo Matoba, Hiroyuki Miyoshi, Masahito Ikawa and Misuzu Yamashita and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Arata Honda

56 papers receiving 1.7k citations

Peers

Arata Honda
Comparison fields: 5 of 92
  • Molecular Biology 1.1k
  • Public Health, Environmental and Occupational Health 540
  • Genetics 510
  • Reproductive Medicine 503
  • Epidemiology 142
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Pierre Fouchet France
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Prabhakara P. Reddi United States
Michael Boubelı́k Czechia
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Henk P. Roest Netherlands View profile →
Citations per field, relative to Arata Honda
Arata Honda · 1×
Citations per year, relative to Arata Honda
Arata Honda · 1×

Countries citing papers authored by Arata Honda

Since Specialization
Citations

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

Fields of papers citing papers by Arata Honda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arata Honda

This figure shows the co-authorship network connecting the top 25 collaborators of Arata Honda. A scholar is included among the top collaborators of Arata Honda 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 Arata Honda. Arata Honda 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
# Work Indexed citations
1 79
2 58
3 5
4 41
5 3
6 5
7 11
8 7
9 124
10 16
11
ABNORMALITY OF SERUM LIPIDS IN THE HCV CARRIERS IN EPIDEMIOLOGICAL SURVEY OF JAPANESE LARGE COHORT
3
12 53
13 15
14 46
15 57
16 12
17 73
18 12
19 28
20 36

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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2026