Tatsuya Kibe

1.4k total citations
10 papers, 994 citations indexed

About

Tatsuya Kibe is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Tatsuya Kibe has authored 10 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 3 papers in Plant Science. Recurrent topics in Tatsuya Kibe's work include Telomeres, Telomerase, and Senescence (9 papers), DNA Repair Mechanisms (9 papers) and CRISPR and Genetic Engineering (3 papers). Tatsuya Kibe is often cited by papers focused on Telomeres, Telomerase, and Senescence (9 papers), DNA Repair Mechanisms (9 papers) and CRISPR and Genetic Engineering (3 papers). Tatsuya Kibe collaborates with scholars based in United States, Japan and Poland. Tatsuya Kibe's co-authors include Titia de Lange, Michal Zimmermann, Kaori Takai, Shaheen Kabir, David Frescas, Jill R. Donigian, Zachary Mirman, Yi Gong, Daniel Durocher and Francisca Lottersberger and has published in prestigious journals such as Nature, Genes & Development and Molecular Cell.

In The Last Decade

Tatsuya Kibe

10 papers receiving 987 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuya Kibe United States 10 879 571 174 99 87 10 994
Fermı́n A. Goytisolo Spain 8 769 0.9× 671 1.2× 116 0.7× 138 1.4× 125 1.4× 8 994
Carolyn J. McNees Australia 8 474 0.5× 314 0.5× 122 0.7× 69 0.7× 39 0.4× 8 612
Shaheen Kabir United States 9 555 0.6× 460 0.8× 49 0.3× 78 0.8× 50 0.6× 10 710
İlgen Mender United States 12 508 0.6× 512 0.9× 105 0.6× 81 0.8× 33 0.4× 15 796
Rajika Arora Switzerland 11 805 0.9× 567 1.0× 43 0.2× 78 0.8× 96 1.1× 15 929
Valerio Vitelli Italy 11 952 1.1× 270 0.5× 82 0.5× 39 0.4× 123 1.4× 11 1.1k
Jean‐Philippe Lainé France 12 989 1.1× 222 0.4× 94 0.5× 36 0.4× 151 1.7× 12 1.0k
Sophie Badie United Kingdom 8 534 0.6× 137 0.2× 132 0.8× 34 0.3× 32 0.4× 8 577
Kamlesh Bisht United States 12 347 0.4× 206 0.4× 123 0.7× 33 0.3× 35 0.4× 36 510
Rosalind Yanishevsky United States 9 416 0.5× 267 0.5× 73 0.4× 55 0.6× 49 0.6× 9 536

Countries citing papers authored by Tatsuya Kibe

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Kibe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Kibe

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

All Works

10 of 10 papers shown
1.
Mirman, Zachary, Francisca Lottersberger, Hiroyuki Takai, et al.. (2018). 53BP1–RIF1–shieldin counteracts DSB resection through CST- and Polα-dependent fill-in. Nature. 560(7716). 112–116. 297 indexed citations
2.
Kibe, Tatsuya, Michal Zimmermann, & Titia de Lange. (2016). TPP1 Blocks an ATR-Mediated Resection Mechanism at Telomeres. Molecular Cell. 61(2). 236–246. 47 indexed citations
3.
Zimmermann, Michal, Tatsuya Kibe, Shaheen Kabir, & Titia de Lange. (2014). TRF1 negotiates TTAGGG repeat-associated replication problems by recruiting the BLM helicase and the TPP1/POT1 repressor of ATR signaling. Genes & Development. 28(22). 2477–2491. 146 indexed citations
4.
Takai, Kaori, Tatsuya Kibe, Jill R. Donigian, David Frescas, & Titia de Lange. (2011). Telomere Protection by TPP1/POT1 Requires Tethering to TIN2. Molecular Cell. 44(4). 647–659. 178 indexed citations
5.
Kobayashi, Yuka, Tatsuya Kibe, Hiroyuki Seimiya, et al.. (2010). Expression of Mutant RPA in Human Cancer Cells Causes Telomere Shortening. Bioscience Biotechnology and Biochemistry. 74(2). 382–385. 12 indexed citations
6.
Kibe, Tatsuya, Hiroyuki Seimiya, Yukiko Muramatsu, et al.. (2010). Fission Yeast Pot1 and RecQ Helicase Are Required for Efficient Chromosome Segregation. Molecular and Cellular Biology. 31(3). 495–506. 11 indexed citations
7.
Kibe, Tatsuya, et al.. (2009). Telomere Protection by TPP1 Is Mediated by POT1a and POT1b. Molecular and Cellular Biology. 30(4). 1059–1066. 96 indexed citations
8.
Palm, Wilhelm, Dirk Hockemeyer, Tatsuya Kibe, & Titia de Lange. (2008). Functional Dissection of Human and Mouse POT1 Proteins. Molecular and Cellular Biology. 29(2). 471–482. 103 indexed citations
9.
Kibe, Tatsuya, et al.. (2007). Fission Yeast Taz1 and RPA Are Synergistically Required to Prevent Rapid Telomere Loss. Molecular Biology of the Cell. 18(6). 2378–2387. 43 indexed citations
10.
Tomita, Kazunori, Tatsuya Kibe, Hoyoung Kang, et al.. (2004). Fission Yeast Dna2 Is Required for Generation of the Telomeric Single-Strand Overhang. Molecular and Cellular Biology. 24(21). 9557–9567. 61 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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