Tetsuya Handa

698 total citations
17 papers, 410 citations indexed

About

Tetsuya Handa is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Tetsuya Handa has authored 17 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Physiology. Recurrent topics in Tetsuya Handa's work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (8 papers) and CRISPR and Genetic Engineering (6 papers). Tetsuya Handa is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (8 papers) and CRISPR and Genetic Engineering (6 papers). Tetsuya Handa collaborates with scholars based in Japan, United States and United Kingdom. Tetsuya Handa's co-authors include Hiroshi Kimurâ, Yasuyuki Ohkawa, Hitoshi Kurumizaka, Kazumitsu Maehara, Jumpei Nogami, Akihito Harada, Katsuhiko Shirahige, Hisao Masukata, Yoko Hayashi‐Takanaka and Yasuhiro Arimura and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Tetsuya Handa

17 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tetsuya Handa Japan	11	378	47	41	35	28	17	410
Iryna Charapitsa Germany	6	256 0.7×	32 0.7×	32 0.8×	37 1.1×	28 1.0×	6	294
Dylan Mooijman Netherlands	9	327 0.9×	79 1.7×	22 0.5×	33 0.9×	9 0.3×	11	367
Mariya Kryzhanovska Switzerland	5	581 1.5×	33 0.7×	123 3.0×	69 2.0×	13 0.5×	5	623
Dóra Bihary United Kingdom	7	205 0.5×	44 0.9×	22 0.5×	31 0.9×	76 2.7×	12	263
Daniel Peric‐Hupkes Netherlands	8	599 1.6×	26 0.6×	99 2.4×	44 1.3×	31 1.1×	9	635
Lauren G. Mascibroda United States	4	413 1.1×	38 0.8×	14 0.3×	37 1.1×	7 0.3×	5	441
Roel Oldenkamp United Kingdom	6	479 1.3×	30 0.6×	132 3.2×	61 1.7×	12 0.4×	8	530
Kayla McCue United States	4	326 0.9×	27 0.6×	24 0.6×	47 1.3×	7 0.3×	4	369
Franziska Reiter Austria	4	476 1.3×	28 0.6×	67 1.6×	62 1.8×	5 0.2×	5	528
Danuta M. Jeziorska United Kingdom	6	253 0.7×	36 0.8×	46 1.1×	60 1.7×	9 0.3×	8	291

Countries citing papers authored by Tetsuya Handa

Since Specialization

Citations

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

Fields of papers citing papers by Tetsuya Handa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Handa

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

All Works

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17 of 17 papers shown

Olan, Ioana, Masami Ando‐Kuri, Aled Parry, et al.. (2024). HMGA1 orchestrates chromatin compartmentalization and sequesters genes into 3D networks coordinating senescence heterogeneity. Nature Communications. 15(1). 6891–6891. 10 indexed citations

Gotō, Naoki, Hidenori Nishihara, Tetsuya Handa, et al.. (2024). ISWI chromatin remodeling complexes recruit NSD2 and H3K36me2 in pericentromeric heterochromatin. The Journal of Cell Biology. 223(8). 1 indexed citations

Olan, Ioana, Tetsuya Handa, & Masashi Narita. (2023). Beyond SAHF: An integrative view of chromatin compartmentalization during senescence. Current Opinion in Cell Biology. 83. 102206–102206. 21 indexed citations

Ozawa, Hiroki, Satoshi Murakami, Tetsuya Handa, et al.. (2022). Transient Methionine Deprivation Triggers Histone Modification and Potentiates Differentiation of Induced Pluripotent Stem Cells. Stem Cells. 41(3). 271–286. 6 indexed citations

Tsubouchi, Hideo, Tetsuya Handa, Hiroshi Kimurâ, et al.. (2022). Euchromatin factors HULC and Set1C affect heterochromatin organization and mating-type switching in fission yeast <i>Schizosaccharomyces pombe</i>. Genes & Genetic Systems. 97(3). 123–138. 4 indexed citations

Sato, Yuko, Aurélie Bousard, Ana Cláudia Raposo, et al.. (2021). H4K20me1 and H3K27me3 are concurrently loaded onto the inactive X chromosome but dispensable for inducing gene silencing. EMBO Reports. 22(3). e51989–e51989. 37 indexed citations

Maehara, Kazumitsu, Kosuke Tomimatsu, Akihito Harada, et al.. (2021). Modeling population size independent tissue epigenomes by ChIL‐seq with single thin sections. Molecular Systems Biology. 17(11). e10323–e10323. 3 indexed citations

Bartlett, Daniel A., Vishnu Dileep, Tetsuya Handa, et al.. (2021). High-throughput single-cell epigenomic profiling by targeted insertion of promoters (TIP-seq). The Journal of Cell Biology. 220(12). 21 indexed citations

Handa, Tetsuya, Tatsuya Morisaki, Hiroshi Kimurâ, et al.. (2021). Live-cell imaging reveals the spatiotemporal organization of endogenous RNA polymerase II phosphorylation at a single gene. Nature Communications. 12(1). 3158–3158. 42 indexed citations

10.

Ito, Yuma, Yuko Sato, Tetsuya Handa, et al.. (2021). Live imaging of transcription sites using an elongating RNA polymerase II–specific probe. The Journal of Cell Biology. 221(2). 33 indexed citations

11.

Handa, Tetsuya, Akihito Harada, Kazumitsu Maehara, et al.. (2020). Chromatin integration labeling for mapping DNA-binding proteins and modifications with low input. Nature Protocols. 15(10). 3334–3360. 12 indexed citations

12.

Harada, Akihito, Kazumitsu Maehara, Tetsuya Handa, et al.. (2018). A chromatin integration labelling method enables epigenomic profiling with lower input. Nature Cell Biology. 21(2). 287–296. 112 indexed citations

13.

Handa, Tetsuya, Akihito Harada, Kazumitsu Maehara, Yasuyuki Ohkawa, & Hiroshi Kimurâ. (2018). Detailed protocol ─ Chromatin Integration labeling. Protocol Exchange. 2 indexed citations

14.

Handa, Tetsuya, Hidesato Ogawa, Haruhiko Asakawa, et al.. (2018). Shelterin promotes tethering of late replication origins to telomeres for replication‐timing control. The EMBO Journal. 37(15). 11 indexed citations

15.

Yamazaki, Taiga, Tetsuya Handa, Takashi Fukuyama, et al.. (2017). Targeted DNA methylation in pericentromeres with genome editing-based artificial DNA methyltransferase. PLoS ONE. 12(5). e0177764–e0177764. 28 indexed citations

16.

Handa, Tetsuya, Atsushi Matsuda, Kojiro Ishii, et al.. (2016). Shugoshin forms a specialized chromatin domain at subtelomeres that regulates transcription and replication timing. Nature Communications. 7(1). 10393–10393. 35 indexed citations

17.

Handa, Tetsuya, et al.. (2012). DNA polymerization-independent functions of DNA polymerase epsilon in assembly and progression of the replisome in fission yeast. Molecular Biology of the Cell. 23(16). 3240–3253. 32 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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