Hiroshi Nojima

19.4k total citations · 3 hit papers
300 papers, 15.8k citations indexed

About

Hiroshi Nojima is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Hiroshi Nojima has authored 300 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Molecular Biology, 68 papers in Cell Biology and 44 papers in Oncology. Recurrent topics in Hiroshi Nojima's work include Microtubule and mitosis dynamics (36 papers), Cancer-related Molecular Pathways (32 papers) and Pain Mechanisms and Treatments (32 papers). Hiroshi Nojima is often cited by papers focused on Microtubule and mitosis dynamics (36 papers), Cancer-related Molecular Pathways (32 papers) and Pain Mechanisms and Treatments (32 papers). Hiroshi Nojima collaborates with scholars based in Japan, United States and Israel. Hiroshi Nojima's co-authors include Hiroto Okayama, Hiroaki Inoue, Norikazu Yabuta, Yasushi Kuraishi, Daisuke Okuzaki, Hirofumi Sokabe, Tsugunobu Andoh, Yoshihide Kanaoka, Kiyoshi Kawakami and Ikuko Kimura and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hiroshi Nojima

299 papers receiving 15.5k citations

Hit Papers

High efficiency transform... 1990 2026 2002 2014 1990 2006 2009 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hiroshi Nojima 10.6k 3.5k 1.8k 1.7k 1.4k 300 15.8k
Yoshinori Nozawa 10.6k 1.0× 2.6k 0.7× 1.1k 0.6× 1.6k 0.9× 962 0.7× 588 17.3k
Tetsuo Noda 15.6k 1.5× 2.7k 0.8× 2.9k 1.6× 2.6k 1.5× 2.3k 1.6× 260 24.3k
Katsuya Okawa 10.3k 1.0× 3.9k 1.1× 1.4k 0.8× 954 0.6× 1.8k 1.3× 118 15.9k
Ulf Hellman 9.4k 0.9× 1.5k 0.4× 1.8k 1.0× 1.2k 0.7× 1.1k 0.8× 280 14.3k
John Kyriakis 16.1k 1.5× 3.0k 0.9× 3.5k 1.9× 2.9k 1.7× 836 0.6× 87 21.6k
Marja Jäättelä 15.2k 1.4× 4.7k 1.4× 2.5k 1.4× 2.1k 1.2× 924 0.7× 182 23.8k
Matthias Gaestel 11.6k 1.1× 2.1k 0.6× 2.4k 1.3× 1.9k 1.1× 785 0.6× 259 16.7k
Hans J. Rahmsdorf 7.2k 0.7× 1.0k 0.3× 2.3k 1.3× 2.4k 1.4× 2.3k 1.6× 79 11.5k
James Douglas Engel 14.5k 1.4× 1.4k 0.4× 904 0.5× 1.2k 0.7× 2.6k 1.8× 225 19.0k
Thomas G. Cotter 11.8k 1.1× 1.3k 0.4× 2.6k 1.4× 1.8k 1.0× 678 0.5× 244 18.4k

Countries citing papers authored by Hiroshi Nojima

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Nojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Nojima

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Nojima. A scholar is included among the top collaborators of Hiroshi Nojima 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 Hiroshi Nojima. Hiroshi Nojima 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.
Yabuta, Norikazu, et al.. (2018). Late cornified envelope 1C (LCE1C), a transcriptional target of TAp63 phosphorylated at T46/T281, interacts with PRMT5. Scientific Reports. 8(1). 4892–4892. 5 indexed citations
2.
3.
Yamanishi, Kyosuke, Seishi Maeda, Sachi Kuwahara‐Otani, et al.. (2016). Interleukin-18–deficient mice develop dyslipidemia resulting in nonalcoholic fatty liver disease and steatohepatitis. Translational research. 173. 101–114.e7. 39 indexed citations
4.
Okuzaki, Daisuke, et al.. (2010). Mug28, a Meiosis-specific Protein ofSchizosaccharomyces pombe, Regulates Spore Wall Formation. Molecular Biology of the Cell. 21(12). 1955–1967. 6 indexed citations
5.
Funato, Yosuke, Takeshi Terabayashi, Reiko Sakamoto, et al.. (2010). Nucleoredoxin Sustains Wnt/β-Catenin Signaling by Retaining a Pool of Inactive Dishevelled Protein. Current Biology. 20(21). 1945–1952. 60 indexed citations
6.
Nishioka, Noriyuki, Ken‐ichi Inoue, Kenjiro Adachi, et al.. (2009). The Hippo Signaling Pathway Components Lats and Yap Pattern Tead4 Activity to Distinguish Mouse Trophectoderm from Inner Cell Mass. Developmental Cell. 16(3). 398–410. 812 indexed citations breakdown →
7.
Kobayashi, S, Akira Itô, Daisuke Okuzaki, et al.. (2008). Expression Profiling of PBMC-based Diagnostic Gene Markers Isolated from Vasculitis Patients. DNA Research. 15(4). 253–265. 37 indexed citations
8.
Andoh, Tsugunobu, et al.. (2007). Thromboxane A2 Induces Itch-Associated Responses through TP Receptors in the Skin in Mice. Journal of Investigative Dermatology. 127(8). 2042–2047. 69 indexed citations
9.
Voorhoeve, P. Mathijs, Carlos le Sage, Mariëtte Schrier, et al.. (2006). A Genetic Screen Implicates miRNA-372 and miRNA-373 As Oncogenes in Testicular Germ Cell Tumors. Cell. 124(6). 1169–1181. 1023 indexed citations breakdown →
10.
Nagamori, Ippei, Norikazu Yabuta, Takayuki Fujii, et al.. (2005). Tisp40, a spermatid specific bZip transcription factor, functions by binding to the unfolded protein response element via the Rip pathway. Genes to Cells. 10(6). 575–594. 59 indexed citations
12.
Kakihara, Yoshito, Kentaro Nabeshima, Aiko Hirata, & Hiroshi Nojima. (2003). Overlapping omt1+ and omt2+ genes are required for spore wall maturation in Schizosaccharomyces pombe. Genes to Cells. 8(6). 547–558. 11 indexed citations
13.
Watabe, Kenji, Hideo Asada, Yuichi Endo, et al.. (2001). Structure, Expression and Chromosome Mapping of MLZE, a Novel Gene Which Is Preferentially Expressed in Metastatic Melanoma Cells. Japanese Journal of Cancer Research. 92(2). 140–151. 100 indexed citations
14.
Kataoka, Tatsuki R., Akihiko Ito, Hideo Asada, et al.. (2000). Annexin VII as a Novel Marker for Invasive Phenotype of Malignant Melanoma. Japanese Journal of Cancer Research. 91(1). 75–83. 26 indexed citations
15.
Shimada, Midori, Daisuke Okuzaki, Seiji Tanaka, et al.. (1999). Replication Factor C3 ofSchizosaccharomyces pombe, a Small Subunit of Replication Factor C Complex, Plays a Role in Both Replication and Damage Checkpoints. Molecular Biology of the Cell. 10(12). 3991–4003. 61 indexed citations
16.
Jinno, Shigeki, K. Sütö, A Nagata, et al.. (1994). Cdc25A is a novel phosphatase functioning early in the cell cycle.. The EMBO Journal. 13(7). 1549–1556. 379 indexed citations
17.
Kizaka‐Kondoh, Shinae, Ko Sato, Kazuyoshi Tamura, Hiroshi Nojima, & Hiroto Okayama. (1992). Raf-1 Protein Kinase Is an Integral Component of the Oncogenic Signal Cascade Shared by Epidermal Growth Factor and Platelet-Derived Growth Factor. Molecular and Cellular Biology. 12(11). 5078–5086. 37 indexed citations
18.
Gaspera, Bruno Della, et al.. (1991). Developmental regulation of calmodulin gene expression in rat brain and skeletal muscle.. PubMed. 2(10). 819–826. 42 indexed citations
19.
Nojima, Hiroshi. (1990). Role of Molecular Genetics in the Understanding of the Pathogenesis of Hypertension. Gerontology. 36(1). 31–41. 1 indexed citations
20.
Kimura, Masayasu, et al.. (1986). Acetylcholine sensitivity in myotubes of nerve‐muscle co‐culture cultured with anti‐muscle antibodies, α‐bungarotoxin andd‐tubocurarine. International Journal of Developmental Neuroscience. 4(1). 61–67. 6 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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