Hideki Takata

408 total citations
11 papers, 318 citations indexed

About

Hideki Takata is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Hideki Takata has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Physiology. Recurrent topics in Hideki Takata's work include DNA Repair Mechanisms (6 papers), Fungal and yeast genetics research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Hideki Takata is often cited by papers focused on DNA Repair Mechanisms (6 papers), Fungal and yeast genetics research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Hideki Takata collaborates with scholars based in Japan, Germany and United States. Hideki Takata's co-authors include Akira Matsuura, Yayoi Tanaka, Norio Gunge, Katsuhiko Shirahige, Yutaka Kanoh, Hidekazu Sugasawa, Kadzuki Nakabayashi, Hidetaka Mochizuki, Isao Kumano and Yasuhiro Otomo and has published in prestigious journals such as Molecular Cell, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Hideki Takata

10 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Takata Japan 7 227 100 51 50 42 11 318
Megumi Narukawa Japan 7 121 0.5× 104 1.0× 56 1.1× 11 0.2× 15 0.4× 9 250
Patrizia Morciano Italy 10 180 0.8× 80 0.8× 76 1.5× 26 0.5× 20 0.5× 18 301
Robert D. Raffaniello United States 14 219 1.0× 55 0.6× 32 0.6× 21 0.4× 138 3.3× 34 436
Michael A. Podolsky United States 8 122 0.5× 47 0.5× 6 0.1× 12 0.2× 61 1.5× 8 313
Yanlian Chen China 9 200 0.9× 63 0.6× 15 0.3× 21 0.4× 9 0.2× 15 313
Liying Wang China 9 218 1.0× 42 0.4× 36 0.7× 8 0.2× 44 1.0× 20 324
Vanessa George United States 6 220 1.0× 21 0.2× 28 0.5× 26 0.5× 51 1.2× 7 263
L Sabová Slovakia 13 386 1.7× 34 0.3× 23 0.5× 10 0.2× 37 0.9× 22 459
Letícia Meneguello Brazil 8 201 0.9× 39 0.4× 12 0.2× 22 0.4× 34 0.8× 10 310
Pouya Sarvari Germany 9 149 0.7× 35 0.3× 37 0.7× 66 1.3× 8 0.2× 12 325

Countries citing papers authored by Hideki Takata

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Takata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Takata

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

All Works

11 of 11 papers shown
1.
Yaguchi, Yoshihisa, Hidekazu Sugasawa, Hironori Tsujimoto, et al.. (2011). One-Step Nucleic Acid Amplification (OSNA) for the Application of Sentinel Node Concept in Gastric Cancer. Annals of Surgical Oncology. 18(8). 2289–2296. 70 indexed citations
2.
Nakashima, Akio, Yuko Imamura, Chika Kondo, et al.. (2008). The Yeast Tor Signaling Pathway Is Involved in G2/M Transition via Polo-Kinase. PLoS ONE. 3(5). e2223–e2223. 54 indexed citations
3.
Takata, Hideki, Yayoi Tanaka, & Akira Matsuura. (2005). Late S Phase-Specific Recruitment of Mre11 Complex Triggers Hierarchical Assembly of Telomere Replication Proteins in Saccharomyces cerevisiae. Molecular Cell. 17(4). 573–583. 69 indexed citations
4.
Takata, Hideki, Yutaka Kanoh, Norio Gunge, Katsuhiko Shirahige, & Akira Matsuura. (2004). Reciprocal Association of the Budding Yeast ATM-Related Proteins Tel1 and Mec1 with Telomeres In Vivo. Molecular Cell. 14(4). 515–522. 75 indexed citations
5.
Itakura, Eisuke, et al.. (2004). ATR-dependent phosphorylation of ATRIP in response to genotoxic stress. Biochemical and Biophysical Research Communications. 323(4). 1197–1202. 19 indexed citations
6.
Suhara, Hiroto, et al.. (2003). Monitoring of white-rot fungus during bioremediation of polychlorinated dioxin-contaminated fly ash. Applied Microbiology and Biotechnology. 62(5-6). 601–607. 18 indexed citations
7.
Takata, Hideki & Norio Gunge. (2001). Progressive alteration of telomeric sequences at one end of a yeast linear plasmid and its possible association with reduced plasmid stability. Molecular Genetics and Genomics. 266(4). 686–694. 1 indexed citations
9.
Takata, Hideki, et al.. (2000). Telomere Sequences Attached to Nuclearly Migrated Yeast Linear Plasmid. Plasmid. 43(2). 137–143. 1 indexed citations
10.
Maebuchi, Motohiro, et al.. (1997). The Linear Plasmid pDHL1 fromDebaryomyces hansenii Encodes a Protein Highly Homologous to the pGKL1-Plasmid DNA Polymerase. Yeast. 13(7). 613–620. 10 indexed citations
11.

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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