Hajime Nishimura

1.2k total citations
62 papers, 938 citations indexed

About

Hajime Nishimura is a scholar working on Molecular Biology, Immunology and Oceanography. According to data from OpenAlex, Hajime Nishimura has authored 62 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Oceanography. Recurrent topics in Hajime Nishimura's work include Epigenetics and DNA Methylation (5 papers), Marine and coastal ecosystems (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Hajime Nishimura is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Marine and coastal ecosystems (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Hajime Nishimura collaborates with scholars based in Japan, United States and United Kingdom. Hajime Nishimura's co-authors include Harukazu Suzuki, Hiroshi Ueda, Takahiro Suzuki, Mami Kishima, Izumi Kumagai, Paula A. Schueler, Kouhei Tsumoto, Eiji Suzuki, Teruyuki Nagamune and Greg Winter and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Hajime Nishimura

58 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajime Nishimura Japan 17 406 154 117 98 88 62 938
Nghi Nguyen United States 17 391 1.0× 49 0.3× 243 2.1× 122 1.2× 69 0.8× 65 1.1k
Eun Kyoung Lee South Korea 24 569 1.4× 101 0.7× 467 4.0× 55 0.6× 47 0.5× 166 2.2k
Betsy Gregory United States 19 557 1.4× 142 0.9× 87 0.7× 100 1.0× 54 0.6× 30 1.4k
Hua Huang China 20 521 1.3× 115 0.7× 165 1.4× 123 1.3× 32 0.4× 129 1.4k
H. Li China 15 325 0.8× 68 0.4× 40 0.3× 64 0.7× 33 0.4× 52 1.1k
Jeffrey D. Varner United States 22 1.5k 3.7× 140 0.9× 74 0.6× 168 1.7× 69 0.8× 69 2.1k
Keiji Suzuki Japan 14 421 1.0× 36 0.2× 176 1.5× 60 0.6× 31 0.4× 32 1.2k
Hiroyuki Kurata Japan 31 2.2k 5.5× 101 0.7× 73 0.6× 99 1.0× 58 0.7× 163 3.0k
Masato Iida Japan 16 223 0.5× 78 0.5× 45 0.4× 71 0.7× 22 0.3× 68 774
Yu‐Chao Wang Taiwan 24 731 1.8× 166 1.1× 50 0.4× 329 3.4× 25 0.3× 120 1.8k

Countries citing papers authored by Hajime Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Nishimura. A scholar is included among the top collaborators of Hajime Nishimura 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 Hajime Nishimura. Hajime Nishimura 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
2.
Yoshida, Mitsunori, Andrew Tae-Jun Kwon, Xian‐Yang Qin, et al.. (2024). Transcriptome analysis of long non-coding RNAs in Mycobacterium avium complex–infected macrophages. Frontiers in Immunology. 15. 1374437–1374437. 1 indexed citations
3.
Noguchi, Shuhei, Yuki Tanaka, Jingru Li, et al.. (2022). Prediction of transcription factors associated with DNA demethylation during human cellular development. Chromosome Research. 30(1). 109–121. 4 indexed citations
4.
Suzuki, Takahiro, Erina Furuhata, Shiori Maeda, et al.. (2022). GATA6 is predicted to regulate DNA methylation in an in vitro model of human hepatocyte differentiation. Communications Biology. 5(1). 414–414. 7 indexed citations
5.
Nishimura, Hajime, et al.. (2022). Effect of Microstructure on Shear Deformation in (α + γ) Duplex Stainless Steel. MATERIALS TRANSACTIONS. 64(1). 227–232. 1 indexed citations
6.
Abe, Takeru, Hajime Nishimura, Takuya Sato, et al.. (2020). Time-course microarray transcriptome data of in vitro cultured testes and age-matched in vivo testes. SHILAP Revista de lepidopterología. 33. 106482–106482. 2 indexed citations
7.
Abe, Takeru, Hajime Nishimura, Takuya Sato, et al.. (2020). Transcriptome analysis reveals inadequate spermatogenesis and immediate radical immune reactions during organ culture in vitro spermatogenesis. Biochemical and Biophysical Research Communications. 530(4). 732–738. 15 indexed citations
8.
Watanabe, Kazuhide, Yujing Liu, Shuhei Noguchi, et al.. (2019). OVOL2 induces mesenchymal-to-epithelial transition in fibroblasts and enhances cell-state reprogramming towards epithelial lineages. Scientific Reports. 9(1). 6490–6490. 28 indexed citations
9.
Nishimura, Hajime, et al.. (2018). Detection of Chlorine in a Non-aqueous Solution via Anodic Oxidation and a Photochemical Reaction. Analytical Sciences. 34(1). 1–4. 2 indexed citations
10.
Suzuki, Takahiro, Jingru Li, Shiori Maeda, et al.. (2017). RUNX1 induces DNA replication independent active DNA demethylation at SPI1 regulatory regions. BMC Molecular Biology. 18(1). 9–9. 6 indexed citations
11.
Suzuki, Takahiro, Shiori Maeda, Erina Furuhata, et al.. (2017). A screening system to identify transcription factors that induce binding site-directed DNA demethylation. Epigenetics & Chromatin. 10(1). 60–60. 32 indexed citations
12.
Li, Jingru, Takahiro Suzuki, Hajime Nishimura, et al.. (2016). Asymmetric Regulation of Peripheral Genes by Two Transcriptional Regulatory Networks. PLoS ONE. 11(8). e0160459–e0160459. 3 indexed citations
13.
Kitazawa, Chisato, et al.. (2009). Novel Morphological Traits in the Early Developmental Stages of Temnopleurus toreumaticus. Biological Bulletin. 217(3). 215–221. 8 indexed citations
14.
Ueda, Hiroshi, Masahiro Kawahara, Takahide Aburatani, et al.. (2000). Cell-growth control by monomeric antigen: the cell surface expression of lysozyme-specific Ig V-domains fused to truncated Epo receptor. Journal of Immunological Methods. 241(1-2). 159–170. 25 indexed citations
15.
Ueda, Hiroshi, Kouhei Tsumoto, Kazuishi Kubota, et al.. (1996). Open sandwich ELISA: A novel immunoassay based on the interchain interaction of antibody variable region. Nature Biotechnology. 14(13). 1714–1718. 133 indexed citations
16.
Asano, Yoshihiro, Satoshi Matsuoka, Makoto Furutani‐Seiki, et al.. (1993). Distinction of mouse CD8+ suppressor effector T cell clones from cytotoxic T cell clones by cytokine production and CD45 isoforms. The Journal of Immunology. 150(6). 2121–2128. 66 indexed citations
17.
Ueda, Hiroshi, et al.. (1992). Efficient selection of ? m ? mutants from ?m-expressing myeloma cells by treatment with ricin A-conjugated anti-? antibody. Somatic Cell and Molecular Genetics. 18(6). 553–558. 2 indexed citations
18.
Ueda, Hiroshi, et al.. (1992). Antigen Responsive Antibody–Receptor Kinase Chimera. Bio/Technology. 10(4). 430–433. 10 indexed citations
19.
Nishimura, Hajime, et al.. (1990). Measurement of Changing Ferrous Iron Concentration Using Redox Potential. Japan journal of water pollution research. 13(4). 245–254,226. 1 indexed citations
20.
Nishimura, Hajime, et al.. (1978). Some regular patterns in the distribution of sediment contamination in the coastal waters along Japan. Journal of Oceanography. 34(5). 222–232. 5 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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