I. Hatada

888 total citations
10 papers, 701 citations indexed

About

I. Hatada is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, I. Hatada has authored 10 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in I. Hatada's work include Genetic Syndromes and Imprinting (5 papers), Epigenetics and DNA Methylation (5 papers) and Prenatal Screening and Diagnostics (3 papers). I. Hatada is often cited by papers focused on Genetic Syndromes and Imprinting (5 papers), Epigenetics and DNA Methylation (5 papers) and Prenatal Screening and Diagnostics (3 papers). I. Hatada collaborates with scholars based in Japan, Austria and United Kingdom. I. Hatada's co-authors include Yoshihide Hayashizaki, H. Komatsubara, Shinji Hirotsune, T Mukai, Richard I. Gregory, Robert Feil, Sanjeev Khosla, Laura P. O’Neill, Colin A. Johnson and Bryan M. Turner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Human Molecular Genetics.

In The Last Decade

I. Hatada

10 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I. Hatada Japan	7	578	353	133	90	53	10	701
Andrea Corsinotti Switzerland	12	934 1.6×	321 0.9×	135 1.0×	106 1.2×	76 1.4×	18	1.1k
Nadja Kokalj-Vokač Slovenia	11	276 0.5×	176 0.5×	51 0.4×	55 0.6×	29 0.5×	19	406
Muhammad B. Ekram United States	10	354 0.6×	219 0.6×	83 0.6×	69 0.8×	98 1.8×	15	484
Satya K. Kota France	14	549 0.9×	231 0.7×	113 0.8×	94 1.0×	23 0.4×	19	670
Kênia Balbi El-Jaick Brazil	11	546 0.9×	284 0.8×	47 0.4×	34 0.4×	37 0.7×	20	675
Steven Schonberg United States	13	247 0.4×	147 0.4×	111 0.8×	52 0.6×	29 0.5×	19	422
Benjamin E. Decato United States	9	435 0.8×	163 0.5×	46 0.3×	62 0.7×	74 1.4×	15	589
Denise C. Miles Australia	13	607 1.1×	283 0.8×	53 0.4×	89 1.0×	45 0.8×	15	766
Artur Darmanian Australia	11	315 0.5×	195 0.6×	86 0.6×	87 1.0×	231 4.4×	15	539
Bela Patel United States	15	484 0.8×	146 0.4×	89 0.7×	68 0.8×	24 0.5×	24	681

Countries citing papers authored by I. Hatada

Since Specialization

Citations

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

Fields of papers citing papers by I. Hatada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Hatada

This figure shows the co-authorship network connecting the top 25 collaborators of I. Hatada. A scholar is included among the top collaborators of I. Hatada 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 I. Hatada. I. Hatada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Hatada, I., S. Morita, Yayoi Obata, et al.. (2001). Identification of a New Imprinted Gene, Rian, on Mouse Chromosome 12 by Fluorescent Differential Display Screening. The Journal of Biochemistry. 130(2). 187–190. 69 indexed citations

Gregory, Richard I., Colin A. Johnson, Sanjeev Khosla, et al.. (2001). DNA Methylation Is Linked to Deacetylation of Histone H3, but Not H4, on the Imprinted Genes Snrpnand U2af1-rs1. Molecular and Cellular Biology. 21(16). 5426–5436. 111 indexed citations

Hatada, I. & Terumi Mukai. (2000). Genomic imprinting and Beckwith-Wiedemann syndrome.. PubMed. 15(1). 309–12. 5 indexed citations

Hatada, I., Akira Nabetani, Hiroko Morisaki, et al.. (1997). New p57 KIP2 mutations in Beckwith-Wiedemann syndrome. Human Genetics. 100(5-6). 681–683. 66 indexed citations

Hatada, I.. (1996). Genomic imprinting of human p57KIP2 and its reduced expression in Wilms' tumors. Human Molecular Genetics. 5(6). 783–788. 117 indexed citations

Hayashizaki, Yoshihide, I. Hatada, Shinji Hirotsune, et al.. (1993). [Restriction landmark genomic scanning (RLGS) method and its application].. PubMed. 65(2). 109–15. 1 indexed citations

Nagai, Hisaki, Shinji Hirotsune, H. Komatsubara, et al.. (1993). Genomic analysis of human hepatocellular carcinomas using Restriction Landmark Genomic Scanning.. PubMed. 17(3). 399–404. 15 indexed citations

Hatada, I., Yoshihide Hayashizaki, Shinji Hirotsune, H. Komatsubara, & T Mukai. (1991). A genomic scanning method for higher organisms using restriction sites as landmarks.. Proceedings of the National Academy of Sciences. 88(21). 9523–9527. 265 indexed citations

Shiozawa, Manabu, Takahiro Ochiya, I. Hatada, et al.. (1988). The lca as an onco-fetal gene: its expression in human fetal liver.. PubMed. 2(5). 523–6. 2 indexed citations

10.

Ochiya, Takahiro, Asao Fujiyama, S. Fukushige, I. Hatada, & Kouki Matsubara. (1986). Molecular cloning of an oncogene from a human hepatocellular carcinoma.. Proceedings of the National Academy of Sciences. 83(14). 4993–4997. 50 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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