Harukazu Suzuki

34.7k total citations · 3 hit papers
149 papers, 9.4k citations indexed

About

Harukazu Suzuki is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Harukazu Suzuki has authored 149 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 22 papers in Cancer Research and 21 papers in Immunology. Recurrent topics in Harukazu Suzuki's work include RNA Research and Splicing (28 papers), RNA modifications and cancer (26 papers) and Genomics and Chromatin Dynamics (21 papers). Harukazu Suzuki is often cited by papers focused on RNA Research and Splicing (28 papers), RNA modifications and cancer (26 papers) and Genomics and Chromatin Dynamics (21 papers). Harukazu Suzuki collaborates with scholars based in Japan, United Kingdom and Australia. Harukazu Suzuki's co-authors include Shosaku Numa, Masaharu Noda, Yoshihide Hayashizaki, Walter Stühmer, Yoshihide Hayashizaki, Takayuki Ikeda, Hiroshi Takeshima, Naoki Yahagi, Hideo Kubo and Franco Conti and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Harukazu Suzuki

145 papers receiving 9.2k citations

Hit Papers

Structural parts involved in activation and inactivation ... 1986 2026 1999 2012 1989 1986 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harukazu Suzuki Japan 47 7.2k 1.9k 1.8k 1.1k 815 149 9.4k
Joel R. Neilson United States 36 7.0k 1.0× 679 0.4× 3.4k 1.9× 1.0k 0.9× 312 0.4× 78 9.4k
Melissa J. Moore United States 67 14.5k 2.0× 706 0.4× 2.3k 1.3× 1.4k 1.3× 563 0.7× 121 17.5k
Francisco E. Baralle Italy 71 12.0k 1.7× 1.1k 0.6× 1.7k 1.0× 1.1k 1.0× 796 1.0× 249 20.7k
Masatoshi Hagiwara Japan 62 11.6k 1.6× 2.3k 1.2× 1.1k 0.6× 1.2k 1.2× 721 0.9× 301 16.4k
Thomas A. Neubert United States 55 7.1k 1.0× 1.7k 0.9× 850 0.5× 686 0.6× 273 0.3× 191 10.4k
Richard S. Johnson United States 48 5.9k 0.8× 1.1k 0.6× 1.1k 0.6× 1.5k 1.4× 234 0.3× 122 11.3k
Robert Day Canada 52 4.2k 0.6× 1.3k 0.7× 878 0.5× 678 0.6× 489 0.6× 166 8.5k
Timothy Haystead United States 58 8.5k 1.2× 608 0.3× 779 0.4× 963 0.9× 891 1.1× 170 11.7k
Connie R. Jiménez Netherlands 56 4.8k 0.7× 737 0.4× 1.4k 0.8× 655 0.6× 263 0.3× 240 8.6k
Henry H. Heng United States 60 7.0k 1.0× 1.2k 0.6× 1.7k 0.9× 779 0.7× 581 0.7× 202 11.8k

Countries citing papers authored by Harukazu Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Harukazu Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harukazu Suzuki

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

All Works

20 of 20 papers shown
1.
Tamgue, Ousman, Mumin Ozturk, Stanley Kimbung Mbandi, et al.. (2022). Host-Directed Targeting of LincRNA-MIR99AHG Suppresses Intracellular Growth of Mycobacterium tuberculosis. Nucleic Acid Therapeutics. 32(5). 421–437. 12 indexed citations
2.
Abugessaisa, Imad, Akira Hasegawa, Shuhei Noguchi, et al.. (2022). SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data. iScience. 25(2). 103777–103777. 4 indexed citations
3.
Ozturk, Mumin, Ousman Tamgue, Suraj P. Parihar, et al.. (2022). Lyl1-deficiency promotes inflammatory responses and increases mycobacterial burden in response to Mycobacterium tuberculosis infection in mice. Frontiers in Immunology. 13. 948047–948047.
4.
Yoshimoto, Rei, Tilman Schneider‐Poetsch, Masaaki Furuno, et al.. (2021). Spliceostatin A interaction with SF3B limits U1 snRNP availability and causes premature cleavage and polyadenylation. Cell chemical biology. 28(9). 1356–1365.e4. 11 indexed citations
5.
Ducoli, Luca, Saumya Agrawal, Chung-Chau Hon, et al.. (2021). The choice of negative control antisense oligonucleotides dramatically impacts downstream analysis depending on the cellular background. BMC Genomic Data. 22(1). 33–33. 1 indexed citations
6.
Sugiyama, Daisuke, Anagha Joshi, Kasem Kulkeaw, et al.. (2016). A Transcriptional Switch Point During Hematopoietic Stem and Progenitor Cell Ontogeny. Stem Cells and Development. 26(5). 314–327. 4 indexed citations
8.
Schmidl, Christian, Leo Hansmann, Timo Lassmann, et al.. (2014). The enhancer and promoter landscape of human regulatory and conventional T-cell subpopulations. Blood. 123(17). e68–e78. 63 indexed citations
9.
Schmidl, Christian, Kathrin Renner, Katrin Peter, et al.. (2014). Transcription and enhancer profiling in human monocyte subsets. Blood. 123(17). e90–e99. 135 indexed citations
10.
Akalin, Altuna, David Fredman, Erik Arner, et al.. (2009). Transcriptional features of genomic regulatory blocks. Genome biology. 10(4). R38–R38. 75 indexed citations
11.
Usui, Kengo, Fuyu Ito, Atsushi Suenaga, et al.. (2009). Nanoscale elongating control of the self‐assembled protein filament with the cysteine‐introduced building blocks. Protein Science. 18(5). 960–969. 20 indexed citations
12.
Fink, J. Lynn, Amit Mittal, Donald M. Gardiner, et al.. (2008). Towards defining the nuclear proteome. Genome biology. 9(1). R15–R15. 30 indexed citations
13.
Barrios‐Rodiles, Miriam, Kevin R. Brown, Barish Ozdamar, et al.. (2005). High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells. Science. 307(5715). 1621–1625. 553 indexed citations breakdown →
14.
Ravasi, Timothy, Harukazu Suzuki, Ken C. Pang, et al.. (2005). Experimental validation of the regulated expression of large numbers of non-coding RNAs from the mouse genome. Genome Research. 16(1). 11–19. 413 indexed citations
15.
Kanamori, Mutsumi, Hideaki Konno, Naoki Osato, et al.. (2004). A genome-wide and nonredundant mouse transcription factor database. Biochemical and Biophysical Research Communications. 322(3). 787–793. 98 indexed citations
16.
Kanamori, Mutsumi, Harukazu Suzuki, Rintaro Saito, Masami Muramatsu, & Yoshihide Hayashizaki. (2002). T2BP, a Novel TRAF2 Binding Protein, Can Activate NF-κB and AP-1 without TNF Stimulation. Biochemical and Biophysical Research Communications. 290(3). 1108–1113. 53 indexed citations
17.
Suzuki, Harukazu, Yoshifumi Fukunishi, Rintaro Saito, et al.. (2001). Protein–Protein Interaction Panel Using Mouse Full-Length cDNAs. Genome Research. 11(10). 1758–1765. 86 indexed citations
18.
Ohsumi, Tomoya, Yasushi Okazaki, Shinji Hirotsune, et al.. (1995). A spot cloning method for restriction landmark genomic scanning. Electrophoresis. 16(1). 203–209. 20 indexed citations
19.
Suzuki, Harukazu, et al.. (1991). Suppression of tumor cell growth by berberrubine, a pyrolyzing artifact of berberine. 45(1). 35–39. 1 indexed citations
20.
Suzuki, Harukazu, Synnöve Beckh, Hideo Kubo, et al.. (1988). Functional expression of cloned cDNA encoding sodium channel III. FEBS Letters. 228(1). 195–200. 140 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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