Minako Abe

467 total citations
14 papers, 378 citations indexed

About

Minako Abe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Minako Abe has authored 14 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Minako Abe's work include Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers) and Cancer Research and Treatments (2 papers). Minako Abe is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers) and Cancer Research and Treatments (2 papers). Minako Abe collaborates with scholars based in Japan and United States. Minako Abe's co-authors include Hiroyuki ABE, Tsutomu Suzuki, Naoko Kuzumaki, Satoshi Imai, Minoru Narita, Takamitsu Hosoya, Nobutoshi Ito, Masatoshi Hagiwara, Isao Kii and Suguru Yoshida and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Minako Abe

13 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minako Abe Japan 7 187 74 69 40 38 14 378
Mariana Figuera-Losada United States 11 238 1.3× 37 0.5× 45 0.7× 39 1.0× 36 0.9× 12 422
Jeff M. Labasi United States 6 280 1.5× 54 0.7× 51 0.7× 27 0.7× 58 1.5× 6 947
P.A. Robson France 12 300 1.6× 96 1.3× 27 0.4× 66 1.6× 49 1.3× 14 652
Adolfo Quiñones‐Lombraña United States 10 103 0.6× 45 0.6× 18 0.3× 46 1.1× 21 0.6× 18 275
Marie‐Thérèse Walsh Ireland 16 233 1.2× 87 1.2× 175 2.5× 16 0.4× 31 0.8× 22 659
Takehisa Ohmura Japan 12 204 1.1× 103 1.4× 32 0.5× 19 0.5× 46 1.2× 22 510
Luhong Wang China 11 156 0.8× 47 0.6× 32 0.5× 37 0.9× 14 0.4× 17 405
Iris Noyman Israel 9 207 1.1× 66 0.9× 72 1.0× 17 0.4× 55 1.4× 26 455
Dorothy Wang United States 10 242 1.3× 108 1.5× 17 0.2× 31 0.8× 13 0.3× 15 443
Michael T. Nedelcovych United States 13 202 1.1× 127 1.7× 28 0.4× 19 0.5× 33 0.9× 19 520

Countries citing papers authored by Minako Abe

Since Specialization
Citations

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

Fields of papers citing papers by Minako Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minako Abe

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

All Works

14 of 14 papers shown
1.
Nakamura, Ayaka, et al.. (2020). Circulating tumor cells (CTC) and Cell-free DNA (cfDNA): Liquid biopsy for cancer diagnostics. 9(0). 59–63. 2 indexed citations
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Abe, Minako, et al.. (2017). DNA methylation analysis of cancer-related genes from cell-free DNA of patients with cancer. 6. 4–11. 1 indexed citations
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Kii, Isao, Yuto Sumida, Toshiyasu Goto, et al.. (2016). Selective inhibition of the kinase DYRK1A by targeting its folding process. Nature Communications. 7(1). 11391–11391. 71 indexed citations
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Yamamoto, Makoto, Hiroshi Onogi, Isao Kii, et al.. (2014). CDK9 inhibitor FIT-039 prevents replication of multiple DNA viruses. Journal of Clinical Investigation. 124(8). 3479–3488. 66 indexed citations
9.
Matsuzaki, Hideki, Jun Iwaki, Atsushi Kuno, et al.. (2014). Glycoproteomics Approach for Identifying Glycobiomarker Candidate Molecules for Tissue Type Classification of Non-small Cell Lung Carcinoma. Journal of Proteome Research. 13(11). 4705–4716. 28 indexed citations
10.
Mori, Tomohisa, et al.. (2012). Effects of dronabinol on morphine‐induced dopamine‐related behavioral effects in animals. Synapse. 66(11). 931–937. 6 indexed citations
11.
Imai, Satoshi, Makoto Yanase, Hiroshi Horiuchi, et al.. (2011). Change in MicroRNAs Associated with Neuronal Adaptive Responses in the Nucleus Accumbens under Neuropathic Pain. Journal of Neuroscience. 31(43). 15294–15299. 82 indexed citations
12.
Narita, Minoru, Yuki Matsushima, Keiichi Niikura, et al.. (2010). Implication of dopaminergic projection from the ventral tegmental area to the anterior cingulate cortex in μ‐opioid‐induced place preference. Addiction Biology. 15(4). 434–447. 48 indexed citations
13.
Nakano, Noritsugu, Hisae Hori, Minako Abe, et al.. (2007). Interaction of BMP10 with Tcap may modulate the course of hypertensive cardiac hypertrophy. American Journal of Physiology-Heart and Circulatory Physiology. 293(6). H3396–H3403. 37 indexed citations
14.
Abe, Minako, Takayuki Endoh, & Takashi Suzuki. (2003). Angiotensin II-induced ionic currents and signalling pathways in submandibular ganglion neurons. Archives of Oral Biology. 48(6). 401–413. 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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2026