H Ariga

1.6k total citations
39 papers, 1.3k citations indexed

About

H Ariga is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, H Ariga has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Plant Science and 7 papers in Oncology. Recurrent topics in H Ariga's work include Plant Molecular Biology Research (6 papers), DNA Repair Mechanisms (5 papers) and Bacteriophages and microbial interactions (5 papers). H Ariga is often cited by papers focused on Plant Molecular Biology Research (6 papers), DNA Repair Mechanisms (5 papers) and Bacteriophages and microbial interactions (5 papers). H Ariga collaborates with scholars based in Japan, United States and Thailand. H Ariga's co-authors include S M Iguchi-Ariga, Sumio Sugano, Yasuhiro Imamura, Takahiro Taira, Tsukasa Seya, Seiichi Toki, Kazuhiro Ishibashi, Sayaka Nagasawa, Takuya Okazaki and Lee M. Kaplan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

H Ariga

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H Ariga Japan 18 905 286 198 190 162 39 1.3k
T Patschinsky Germany 18 843 0.9× 310 1.1× 270 1.4× 199 1.0× 104 0.6× 27 1.2k
C. Lagrou France 14 893 1.0× 331 1.2× 170 0.9× 291 1.5× 102 0.6× 19 1.3k
H E Varmus United States 14 1.2k 1.3× 209 0.7× 231 1.2× 184 1.0× 201 1.2× 22 1.8k
Peter B. Challoner United States 10 829 0.9× 176 0.6× 335 1.7× 237 1.2× 128 0.8× 12 1.5k
Leah Lipsich United States 15 1.1k 1.2× 512 1.8× 391 2.0× 195 1.0× 100 0.6× 19 1.6k
Serafı́n Piñol-Roma United States 20 2.9k 3.2× 228 0.8× 126 0.6× 238 1.3× 182 1.1× 21 3.4k
Steven J. Madore United States 22 1.3k 1.4× 176 0.6× 156 0.8× 224 1.2× 40 0.2× 28 1.7k
Felix Kokocinski Germany 16 1.2k 1.3× 361 1.3× 188 0.9× 84 0.4× 151 0.9× 22 2.0k
Edward B. Jakobovits Israel 13 1.0k 1.1× 285 1.0× 411 2.1× 118 0.6× 166 1.0× 15 1.4k
H Beug Austria 16 1.3k 1.5× 595 2.1× 239 1.2× 386 2.0× 102 0.6× 20 2.0k

Countries citing papers authored by H Ariga

Since Specialization
Citations

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

Fields of papers citing papers by H Ariga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Ariga

This figure shows the co-authorship network connecting the top 25 collaborators of H Ariga. A scholar is included among the top collaborators of H Ariga 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 H Ariga. H Ariga 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.
Wang, Fanmiao, Sompong Chankaew, H Ariga, et al.. (2025). Diurnal Regulation of SOS Pathway and Sodium Excretion Underlying Salinity Tolerance of Vigna marina. Plant Cell & Environment. 48(6). 3925–3938. 2 indexed citations
2.
Tamura, Masashi, S T Kunitake, Kohji Nishimura, et al.. (2024). Mutations in nuclear pore complex promote osmotolerance in Arabidopsis by suppressing the nuclear translocation of ACQOS and its osmotically induced immunity. Frontiers in Plant Science. 15. 1304366–1304366. 3 indexed citations
3.
Nishimura, Kohji, Masa H. Sato, H Ariga, et al.. (2023). Golgi apparatus-localized CATION CALCIUM EXCHANGER4 promotes osmotolerance of Arabidopsis. PLANT PHYSIOLOGY. 194(2). 1166–1180. 3 indexed citations
4.
Ariga, H, Keisuke Tanaka, Yusuke Saijo, et al.. (2022). MAP KINASE PHOSPHATASE1 promotes osmotolerance by suppressing PHYTOALEXIN DEFICIENT4-independent immunity. PLANT PHYSIOLOGY. 189(2). 1128–1138. 7 indexed citations
5.
Oshima, Yoshimi, H Ariga, Takashi Koyama, et al.. (2022). ECERIFERUM 10 Encoding an Enoyl-CoA Reductase Plays a Crucial Role in Osmotolerance and Cuticular Wax Loading in Arabidopsis. Frontiers in Plant Science. 13. 898317–898317. 8 indexed citations
6.
Ariga, H, Seiichi Toki, & Kazuhiro Ishibashi. (2020). Potato Virus X Vector-Mediated DNA-Free Genome Editing in Plants. Plant and Cell Physiology. 61(11). 1946–1953. 69 indexed citations
7.
Ariga, H, et al.. (2015). CSP41b, a protein identified via FOX hunting using Eutrema salsugineum cDNAs, improves heat and salinity stress tolerance in transgenic Arabidopsis thaliana. Biochemical and Biophysical Research Communications. 464(1). 318–323. 13 indexed citations
8.
Ariga, H, Ryouhei Yoshihara, Yoshihiro Hase, et al.. (2013). Arabidopsissos1 mutant in a salt-tolerant accession revealed an importance of salt acclimation ability in plant salt tolerance. Plant Signaling & Behavior. 8(7). e24779–e24779. 12 indexed citations
9.
Niki, Teruo, Takahiro Taira, Kazuko Takahashi-Niki, et al.. (2005). Proper SUMO-1 conjugation is essential to DJ-1 to exert its full activities. Cell Death and Differentiation. 13(1). 96–108. 153 indexed citations
10.
Taira, Takahiro, et al.. (1998). Ku Antigen Binds to Alu Family DNA. The Journal of Biochemistry. 123(1). 120–127. 12 indexed citations
11.
Kimura, Kazuhiro, et al.. (1998). c-Myc gene single-strand binding protein-1, MSSP-1, suppresses transcription of  -smooth muscle actin gene in chicken visceral smooth muscle cells. Nucleic Acids Research. 26(10). 2420–2425. 30 indexed citations
12.
Imamura, Yasuhiro, et al.. (1997). Human Mucus Protease Inhibitor in Airway Fluids Is a Potential Defensive Compound against Infection with Influenza A and Sendai Viruses. The Journal of Biochemistry. 121(2). 309–316. 54 indexed citations
13.
Boyko, Vitaly, et al.. (1994). A major cellular substrate for protein kinases, annexin II, is a DNA‐binding protein. FEBS Letters. 345(2-3). 139–142. 28 indexed citations
14.
15.
16.
Taira, Takahiro, S M Iguchi-Ariga, & H Ariga. (1994). A novel DNA replication origin identified in the human heat shock protein 70 gene promoter.. Molecular and Cellular Biology. 14(9). 6386–6397. 48 indexed citations
17.
Seya, Tsukasa, et al.. (1993). Membrane cofactor protein (CD46) protects cells predominantly from alternative complement pathway-mediated C3-fragment deposition and cytolysis.. The Journal of Immunology. 151(3). 1519–1527. 92 indexed citations
18.
Imamura, Yasuhiro, et al.. (1992). DETERMINATION OF TRANSREPRESSION DOMAINS OF THE HUMAN N-MYC PROTEIN. International Journal of Oncology. 1(5). 539–45. 1 indexed citations
19.
Shiroki, Kazuko, Keiichi Ohshima, Yoshinori Fukui, & H Ariga. (1986). The adenovirus type 12 early-region 1B 58,000-Mr gene product is required for viral DNA synthesis and for initiation of cell transformation. Journal of Virology. 57(3). 792–801. 22 indexed citations
20.
Kaplan, Lee M., H Ariga, J Hurwitz, & Marshall S. Horwitz. (1979). Complementation of the temperature-sensitive defect in H5ts125 adenovirus DNA replication in vitro.. Proceedings of the National Academy of Sciences. 76(11). 5534–5538. 70 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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