Naoki Osada

3.5k total citations
92 papers, 2.3k citations indexed

About

Naoki Osada is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Naoki Osada has authored 92 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 36 papers in Genetics and 19 papers in Plant Science. Recurrent topics in Naoki Osada's work include Genomics and Phylogenetic Studies (22 papers), Genetic diversity and population structure (18 papers) and Chromosomal and Genetic Variations (16 papers). Naoki Osada is often cited by papers focused on Genomics and Phylogenetic Studies (22 papers), Genetic diversity and population structure (18 papers) and Chromosomal and Genetic Variations (16 papers). Naoki Osada collaborates with scholars based in Japan, United States and Taiwan. Naoki Osada's co-authors include Hisayuki Nomiyama, Osamu Yoshie, Hiroshi Akashi, Chung‐I Wu, Tomoko Ohta, Katsuyuki Hashimoto, Toshiyuki Yamaji, Kentaro Hanada, Jun Kusuda and Yasuhiro Uno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Naoki Osada

84 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Osada Japan 23 998 661 518 431 335 92 2.3k
Dirk Metzler Germany 28 1.5k 1.5× 694 1.0× 416 0.8× 693 1.6× 314 0.9× 82 3.1k
Lutz Walter Germany 37 1.4k 1.4× 452 0.7× 1.9k 3.7× 386 0.9× 191 0.6× 140 4.3k
Anish Kejariwal United States 7 2.4k 2.4× 1.0k 1.5× 353 0.7× 247 0.6× 299 0.9× 7 3.9k
Daniel Civello United States 8 1.2k 1.2× 1.0k 1.6× 957 1.8× 139 0.3× 251 0.7× 11 2.7k
Joan Pontius United States 10 889 0.9× 385 0.6× 268 0.5× 225 0.5× 237 0.7× 14 2.0k
David Roazen United States 2 2.1k 2.1× 1.8k 2.7× 240 0.5× 335 0.8× 609 1.8× 2 4.3k
Khalid Shakir United States 2 2.1k 2.1× 1.8k 2.8× 240 0.5× 336 0.8× 612 1.8× 2 4.3k
Ami Levy‐Moonshine United States 5 2.2k 2.2× 1.9k 2.9× 256 0.5× 339 0.8× 634 1.9× 5 4.5k
Naoya Yuhki United States 29 1.2k 1.2× 1.1k 1.7× 926 1.8× 273 0.6× 214 0.6× 51 3.4k
Jason Lohmueller United States 15 1.3k 1.3× 1.7k 2.6× 331 0.6× 362 0.8× 194 0.6× 27 3.2k

Countries citing papers authored by Naoki Osada

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Osada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Osada

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Osada. A scholar is included among the top collaborators of Naoki Osada 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 Naoki Osada. Naoki Osada 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.
Kinoshita, Gohta, Masashi Harada, Shoji Tatsumoto, et al.. (2025). Population genetic structure of 2 mole species (Mogera imaizumii and M. wogura) in the Japanese Archipelago. Journal of Mammalogy. 106(3). 576–586.
2.
Fukuyo, Masaki, Noriko Takahashi, Katsuhiro Hanada, et al.. (2025). Helicobacter pylori base-excision restriction enzyme in stomach carcinogenesis. PNAS Nexus. 4(8). pgaf244–pgaf244.
3.
4.
Endo, Toshinori, et al.. (2024). Inference of selective forces on house mouse genomes during secondary contact in East Asia. Genome Research. 34(3). 366–375. 2 indexed citations
5.
6.
Kawai, Yosuke, Toyoyuki Takada, Toshihiko Shiroishi, et al.. (2022). Insights into Mus musculus Population Structure across Eurasia Revealed by Whole-Genome Analysis. Genome Biology and Evolution. 14(5). 13 indexed citations
7.
Kikuchi, Jiro, Sho Ikeda, Takahiro Kobayashi, et al.. (2022). EMD originates from hyaluronan-induced homophilic interactions of CD44 variant-expressing MM cells under shear stress. Blood Advances. 7(4). 508–524. 5 indexed citations
8.
Osada, Naoki, et al.. (2022). A New Approach to Drug Repurposing with Two-Stage Prediction, Machine Learning, and Unsupervised Clustering of Gene Expression. OMICS A Journal of Integrative Biology. 26(6). 339–347. 18 indexed citations
9.
Osada, Naoki, et al.. (2020). Testing sex-biased admixture origin of macaque species using autosomal and X-chromosomal genomic sequences. Genome Biology and Evolution. 13(1). 16 indexed citations
10.
Saito, Kyoko, Masayoshi Fukasawa, Yoshitaka Shirasago, et al.. (2020). Comparative characterization of flavivirus production in two cell lines: Human hepatoma-derived Huh7.5.1-8 and African green monkey kidney-derived Vero. PLoS ONE. 15(4). e0232274–e0232274. 10 indexed citations
11.
Osada, Naoki, et al.. (2019). Achiasmy and sex chromosome evolution. Ecological Genetics and Genomics. 13. 100046–100046. 13 indexed citations
12.
Kikuchi, Jiro, Yoshiaki Kuroda, Daisuke Koyama, et al.. (2018). Myeloma Cells Are Activated in Bone Marrow Microenvironment by the CD180/MD-1 Complex, Which Senses Lipopolysaccharide. Cancer Research. 78(7). 1766–1778. 21 indexed citations
13.
Fan, Zhenxin, Guang Zhao, Jing Li, et al.. (2014). Whole-Genome Sequencing of Tibetan Macaque (Macaca thibetana) Provides New Insight into the Macaque Evolutionary History. Molecular Biology and Evolution. 31(6). 1475–1489. 38 indexed citations
14.
Osada, Naoki, Shigeki Nakagome, Shuhei Mano, et al.. (2013). Finding the Factors of Reduced Genetic Diversity on X Chromosomes of Macaca fascicularis : Male-Driven Evolution, Demography, and Natural Selection. Genetics. 195(3). 1027–1035. 14 indexed citations
15.
Miura, Noriko N., Yoshiyuki Adachi, Naoki Osada, et al.. (2009). IL-10 Is a Negative Regulatory Factor of CAWS-Vasculitis in CBA/J Mice as Assessed by Comparison with Bruton’s Tyrosine Kinase-Deficient CBA/N Mice. The Journal of Immunology. 183(5). 3417–3424. 25 indexed citations
16.
Osada, Naoki, Katsuyuki Hashimoto, Yosuke Kameoka, et al.. (2008). Large-scale analysis of Macaca fascicularis transcripts and inference of genetic divergence between M. fascicularis and M. mulatta. BMC Genomics. 9(1). 90–90. 32 indexed citations
17.
Osada, Naoki. (2007). Inference of Expression-Dependent Negative Selection Based on Polymorphism and Divergence in the Human Genome. Molecular Biology and Evolution. 24(8). 1622–1626. 5 indexed citations
18.
Alipaz, Julie, Shu Fang, Naoki Osada, & Chung‐I Wu. (2005). Evolution of Sexual Isolation during Secondary Contact: Genotypic versus Phenotypic Changes in Laboratory Populations. The American Naturalist. 165(4). 420–428. 16 indexed citations
19.
Sakate, Ryuichi, Naoki Osada, Sumio Sugano, et al.. (2003). Analysis of 5′-End Sequences of Chimpanzee cDNAs. Genome Research. 13(5). 1022–1026. 14 indexed citations
20.
Osada, Naoki, Jun Kusuda, Makoto Hirata, et al.. (2002). Cynomolgus monkey testicular cDNAs for discovery of novel human genes in the human genome sequence. BMC Genomics. 3(1). 36–36. 15 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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