Noriyuki Sumida

560 total citations
9 papers, 338 citations indexed

About

Noriyuki Sumida is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Noriyuki Sumida has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Noriyuki Sumida's work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (2 papers) and Genetic Syndromes and Imprinting (1 paper). Noriyuki Sumida is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (2 papers) and Genetic Syndromes and Imprinting (1 paper). Noriyuki Sumida collaborates with scholars based in Sweden, Japan and Pakistan. Noriyuki Sumida's co-authors include Marcel Martin, Martin Corcoran, Gunilla B. Karlsson Hedestam, Néstor Vázquez Bernat, Christiane Stahl‐Hennig, Ganesh E. Phad, Mats A. A. Persson, Anita Göndör, Honglei Zhao and Emmanouil G. Sifakis and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Noriyuki Sumida

9 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noriyuki Sumida Sweden	6	220	109	56	47	36	9	338
Nicolas P. Andrews United States	9	189 0.9×	89 0.8×	22 0.4×	72 1.5×	6 0.2×	10	328
Hiroko Hijikata Japan	5	275 1.3×	141 1.3×	17 0.3×	24 0.5×	13 0.4×	5	385
Andrei Kirillov Israel	8	413 1.9×	216 2.0×	26 0.5×	39 0.8×	39 1.1×	9	584
Bernhard Föllmer United States	6	262 1.2×	146 1.3×	31 0.6×	16 0.3×	16 0.4×	8	447
J W Chamberlain Canada	12	201 0.9×	216 2.0×	17 0.3×	35 0.7×	39 1.1×	19	449
Jacqueline Lee United States	7	221 1.0×	47 0.4×	30 0.5×	25 0.5×	18 0.5×	8	335
Maribel Berrú Canada	9	215 1.0×	142 1.3×	26 0.5×	41 0.9×	18 0.5×	13	309
Adrian T. Grzybowski United States	12	474 2.2×	35 0.3×	15 0.3×	34 0.7×	29 0.8×	13	535
Hye Suk Yoon United States	7	292 1.3×	328 3.0×	52 0.9×	42 0.9×	53 1.5×	12	513
Julien Vandamme Denmark	12	523 2.4×	90 0.8×	4 0.1×	39 0.8×	29 0.8×	18	640

Countries citing papers authored by Noriyuki Sumida

Since Specialization

Citations

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

Fields of papers citing papers by Noriyuki Sumida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriyuki Sumida

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

All Works

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9 of 9 papers shown

Scholz, Barbara A., Noriyuki Sumida, Ilyas Chachoua, et al.. (2020). Author Correction: WNT signaling and AHCTF1 promote oncogenic MYC expression through super-enhancer-mediated gene gating. Nature Genetics. 52(11). 1265–1265. 4 indexed citations

Sumida, Noriyuki, Emmanouil G. Sifakis, Narsis A. Kiani, et al.. (2020). MYC as a driver of stochastic chromatin networks: implications for the fitness of cancer cells. Nucleic Acids Research. 48(19). 10867–10876. 4 indexed citations

Scholz, Barbara A., Noriyuki Sumida, Ilyas Chachoua, et al.. (2019). WNT signaling and AHCTF1 promote oncogenic MYC expression through super-enhancer-mediated gene gating. Nature Genetics. 51(12). 1723–1731. 65 indexed citations

Corcoran, Martin, Ganesh E. Phad, Néstor Vázquez Bernat, et al.. (2016). Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity. Nature Communications. 7(1). 13642–13642. 128 indexed citations

Zhao, Honglei, Emmanouil G. Sifakis, Noriyuki Sumida, et al.. (2015). PARP1- and CTCF-Mediated Interactions between Active and Repressed Chromatin at the Lamina Promote Oscillating Transcription. Molecular Cell. 59(6). 984–997. 105 indexed citations

Chen, Xingqi, Anita Göndör, Daniel Rönnlund, et al.. (2014). Chromatin in situ Proximity (ChrISP): Single-Cell Analysis Of Chromatin Proximities at a High Resolution. BioTechniques. 56(3). 117–124. 5 indexed citations

Sumida, Noriyuki & Rolf Ohlsson. (2010). Chromosomal networks as mediators of epigenetic states: The maternal genome connection. Epigenetics. 5(4). 297–300. 5 indexed citations

Sumida, Noriyuki, Haruyuki Sonobe, & Takashi Ohyama. (2007). Chromatin structure formed on a eukaryotic promoter activated by a left-handed superhelical bent DNA of 180 bp. Journal of Advanced Science. 19(1/2). 22–28. 1 indexed citations

Sumida, Noriyuki, et al.. (2006). A designed curved DNA segment that is a remarkable activator of eukaryotic transcription. FEBS Journal. 273(24). 5691–5702. 21 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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