Jun Nomura

1.9k total citations
89 papers, 1.5k citations indexed

About

Jun Nomura is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jun Nomura has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Genetics and 13 papers in Immunology. Recurrent topics in Jun Nomura's work include Genetics and Neurodevelopmental Disorders (9 papers), Spaceflight effects on biology (8 papers) and T-cell and B-cell Immunology (7 papers). Jun Nomura is often cited by papers focused on Genetics and Neurodevelopmental Disorders (9 papers), Spaceflight effects on biology (8 papers) and T-cell and B-cell Immunology (7 papers). Jun Nomura collaborates with scholars based in Japan, United States and Indonesia. Jun Nomura's co-authors include Mikhail V. Pletnikov, Bagrat Abazyan, Akira Sawa, Nobuo Sakaguchi, Toru Takumi, Chunxia Yang, Yasuyuki Nomura, Toru Hosoi, Yasunobu Okuma and Irina N. Krasnova and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Jun Nomura

86 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Nomura Japan 21 655 318 273 219 186 89 1.5k
Howard K. Gershenfeld United States 23 634 1.0× 600 1.9× 382 1.4× 394 1.8× 150 0.8× 36 2.1k
Shibani Mukherjee United States 26 836 1.3× 159 0.5× 229 0.8× 131 0.6× 138 0.7× 35 2.0k
Madeleine R. Brouns Netherlands 13 573 0.9× 209 0.7× 231 0.8× 99 0.5× 88 0.5× 17 1.3k
Zsolt Csaba France 26 791 1.2× 131 0.4× 468 1.7× 177 0.8× 53 0.3× 63 2.2k
Christina Schrick Germany 13 326 0.5× 329 1.0× 626 2.3× 134 0.6× 169 0.9× 14 1.7k
Claudia Pitzer Germany 25 679 1.0× 223 0.7× 525 1.9× 167 0.8× 75 0.4× 47 2.2k
Humberto Gutiérrez United Kingdom 23 545 0.8× 208 0.7× 523 1.9× 105 0.5× 48 0.3× 42 1.5k
Adriana Seilicovich Argentina 30 638 1.0× 228 0.7× 443 1.6× 264 1.2× 54 0.3× 113 2.3k
Chingwen Yang United States 11 1.3k 2.0× 174 0.5× 723 2.6× 164 0.7× 146 0.8× 15 3.3k
Markus Höltje Germany 25 792 1.2× 186 0.6× 865 3.2× 268 1.2× 108 0.6× 52 2.3k

Countries citing papers authored by Jun Nomura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nomura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nomura

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nomura. A scholar is included among the top collaborators of Jun Nomura 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 Jun Nomura. Jun Nomura 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.
Nomura, Yoshiko, Jun Nomura, Kota Tamada, et al.. (2025). Isogenic modeling of 1q21.1 reciprocal CNVs in human ES cells reveals divergent neurodevelopmental trajectories. Human Molecular Genetics. 35(2).
2.
Nomura, Jun, Amila Zuko, Keiko Kishimoto, et al.. (2025). ESC models of autism with copy-number variations reveal cell-type-specific translational vulnerability. Cell Genomics. 5(6). 100877–100877. 1 indexed citations
3.
Nomura, Jun, Masafumi Seki, Tadahiro Kobayashi, et al.. (2023). Progression of hemolysis in a patient with hereditary spherocytosis after the second dose of COVID-19 mRNA vaccine. Human Vaccines & Immunotherapeutics. 19(1). 2165381–2165381.
4.
Nomura, Jun, et al.. (2023). Germ‐cell‐specific transcriptome analysis illuminates the chromatin and ubiquitin pathway in autism spectrum disorders. Autism Research. 16(6). 1101–1110. 2 indexed citations
5.
Lin, Chia‐Wen, Hsu‐Wen Chao, Mikiko Konda, et al.. (2022). A common epigenetic mechanism across different cellular origins underlies systemic immune dysregulation in an idiopathic autism mouse model. Molecular Psychiatry. 27(8). 3343–3354. 13 indexed citations
6.
Nomura, Yoshiko, Jun Nomura, Hiroyuki Kamiguchi, Toru Nishikawa, & Toru Takumi. (2021). Transcriptome analysis of human neural cells derived from isogenic embryonic stem cells with 16p11.2 deletion. Neuroscience Research. 171. 114–123. 2 indexed citations
7.
Nomura, Jun, et al.. (2021). Molecular signatures from multi‐omics of autism spectrum disorders and schizophrenia. Journal of Neurochemistry. 159(4). 647–659. 15 indexed citations
8.
Sholikin, Mohammad Miftakhus, Agung Irawan, Aris Tri Wahyudi, et al.. (2021). Antimicrobial peptides as an additive in broiler chicken nutrition:a meta-analysis of bird performance, nutrient digestibilityand serum metabolites. Journal of Animal and Feed Sciences. 30(2). 100–110. 11 indexed citations
9.
Miyabe, Chie, Jun Nomura, Takaharu Ikeda, Kazuo Takahashi, & Tamihiro Kawakami. (2020). Skin biopsies using dermoscopy for earlier diagnosis of intravascular large B‐cell lymphoma. The Journal of Dermatology. 47(7). e276–e278. 2 indexed citations
10.
Nomura, Jun, Xiao Ji, Kota Tamada, et al.. (2017). Functional significance of rare neuroligin 1 variants found in autism. PLoS Genetics. 13(8). e1006940–e1006940. 87 indexed citations
11.
Kishimoto, Keiko, Jun Nomura, Jacob Ellegood, et al.. (2017). Behavioral and neuroanatomical analyses in a genetic mouse model of 2q13 duplication. Genes to Cells. 22(5). 436–451. 7 indexed citations
12.
Nomura, Jun, et al.. (2015). CYTOTOXICITY OF CRUDE EXTRACT FROM SPONGE-ASSOCIATED BACTERIA AGAINST MOLT4 LEUKEMIC CELL LINES THROUGH APOPTOSIS. International Journal of Pharmacy and Pharmaceutical Sciences. 7(12). 246–249. 4 indexed citations
13.
Nomura, Jun, et al.. (2011). Adaptive positioning control using adaptive velocity estimator. Society of Instrument and Control Engineers of Japan. 2590–2595.
15.
Miyazaki, Hiroyuki, Yasunobu Okuma, Jun Nomura, Kazuo Nagashima, & Yasuyuki Nomura. (2003). Age-Related Alterations in the Expression of Glial Cell Line-Derived Neurotrophic Factor in the Senescence-Accelerated Mouse Brain. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Miyazaki, Hiroyuki, Yasunobu Okuma, Jun Nomura, Kazuo Nagashima, & Yasuyuki Nomura. (2003). Age-Related Alterations in the Expression of Glial Cell Line-Derived Neurotrophic Factor in the Senescence-Accelerated Mouse Brain. Journal of Pharmacological Sciences. 92(1). 28–34. 28 indexed citations
17.
Nomura, Jun, Shigeru Sugaya, Shunji Takahashi, et al.. (2001). Increased and decreased expression of CD69 and CD23, respectively, in gravity-stressed lymphocytes.. PubMed. 72(8). 727–32. 5 indexed citations
18.
Takahashi, Shunji, Yoshitaka Yamaguchi, Shigeru Sugaya, et al.. (2000). Purification of UV-induced proteases in human UVAP-2 cells. Journal of Radiation Research. 41(4). 464. 1 indexed citations
19.
Hiwasa, Takaki, et al.. (2000). Prevention of v-Ha-Ras-Dependent Apoptosis by PDGF Coordinates in Phosphorylation of ERK and Akt. Biochemical and Biophysical Research Communications. 267(1). 33–39. 16 indexed citations
20.
Sakaguchi, Nobuo, Tatsuya Matsuo, Jun Nomura, et al.. (1993). Immunoglobulin Receptor-Associated Molecules. Advances in immunology. 54. 337–392. 20 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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