Masahide Seki

3.1k total citations
75 papers, 1.5k citations indexed

About

Masahide Seki is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Masahide Seki has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 17 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Masahide Seki's work include RNA modifications and cancer (16 papers), RNA Research and Splicing (11 papers) and RNA and protein synthesis mechanisms (9 papers). Masahide Seki is often cited by papers focused on RNA modifications and cancer (16 papers), RNA Research and Splicing (11 papers) and RNA and protein synthesis mechanisms (9 papers). Masahide Seki collaborates with scholars based in Japan, United States and France. Masahide Seki's co-authors include Yutaka Suzuki, Yutaka Suzuki, Ayako Suzuki, Liu Xu, Yoshitaka Sakamoto, Yukie Kashima, Takashi Kohno, Shimpei Gotoh, Satoshi Ikeo and Yuki Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Masahide Seki

72 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
Masahide Seki Japan 21 1.0k 288 209 169 167 75 1.5k
Jeong‐Hyeon Choi United States 23 1.2k 1.2× 378 1.3× 99 0.5× 229 1.4× 202 1.2× 40 1.8k
Xiaoqiang Guo China 25 1.2k 1.1× 634 2.2× 97 0.5× 148 0.9× 103 0.6× 60 1.6k
Dileepa Diyagama Australia 7 760 0.7× 264 0.9× 111 0.5× 119 0.7× 164 1.0× 7 1.2k
Lihuan Cao China 17 680 0.7× 185 0.6× 173 0.8× 76 0.4× 122 0.7× 40 1.2k
Yu Liang China 21 865 0.8× 313 1.1× 179 0.9× 358 2.1× 249 1.5× 37 2.1k
Zhijun Wang China 20 1.1k 1.1× 720 2.5× 110 0.5× 63 0.4× 168 1.0× 93 1.7k
Raúl Torres Spain 25 1.3k 1.3× 223 0.8× 88 0.4× 139 0.8× 432 2.6× 65 2.0k
A. Gordon Robertson Canada 17 789 0.8× 206 0.7× 115 0.6× 76 0.4× 79 0.5× 25 1.2k
Shengxi Guan United States 19 1.4k 1.3× 238 0.8× 48 0.2× 124 0.7× 160 1.0× 33 1.8k

Countries citing papers authored by Masahide Seki

Since Specialization
Citations

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

Fields of papers citing papers by Masahide Seki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahide Seki

This figure shows the co-authorship network connecting the top 25 collaborators of Masahide Seki. A scholar is included among the top collaborators of Masahide Seki 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 Masahide Seki. Masahide Seki 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.
2.
Umakoshi, Hironobu, Maki Yokomoto‐Umakoshi, Hiroki Kaneko, et al.. (2024). Single-cell and spatial transcriptomics analysis of human adrenal aging. Molecular Metabolism. 84. 101954–101954. 8 indexed citations
3.
Umakoshi, Hironobu, Maki Yokomoto‐Umakoshi, Naohiro Uchida, et al.. (2024). Steroids-producing nodules: a two-layered adrenocortical nodular structure as a precursor lesion of cortisol-producing adenoma. EBioMedicine. 103. 105087–105087. 3 indexed citations
4.
Sato, Masanao, Masahide Seki, Yutaka Suzuki, & Shoko Ueki. (2023). The dataset of de novo assembly and inferred functional annotation of the transcriptome of Heterosigma akashiwo, a bloom-forming, cosmopolitan raphidophyte. Data in Brief. 48. 109071–109071. 1 indexed citations
5.
Tanaka, Noritaka, Hikari Okada, Kiyoshi Yamaguchi, et al.. (2023). Mint3-depletion-induced energy stress sensitizes triple-negative breast cancer to chemotherapy via HSF1 inactivation. Cell Death and Disease. 14(12). 815–815. 5 indexed citations
6.
Seki, Masahide, Yuta Kuze, Xiang Zhang, et al.. (2023). An improved method for the highly specific detection of transcription start sites. Nucleic Acids Research. 52(2). e7–e7. 1 indexed citations
7.
Okada, Hiroyuki, Shoko Onodera, Masahide Seki, et al.. (2023). Stem cell-based modeling and single-cell multiomics reveal gene-regulatory mechanisms underlying human skeletal development. Cell Reports. 42(4). 112276–112276. 10 indexed citations
8.
Sakamoto, Yoshitaka, Akinori Kanai, Yosuke Kawai, et al.. (2022). Phasing analysis of lung cancer genomes using a long read sequencer. Nature Communications. 13(1). 3464–3464. 18 indexed citations
9.
Umakoshi, Hironobu, Tsugio Seki, Celso E. Gómez-Sánchez, et al.. (2022). Characterization of Aldosterone-producing Cell Cluster (APCC) at Single-cell Resolution. The Journal of Clinical Endocrinology & Metabolism. 107(9). 2439–2448. 13 indexed citations
10.
Suda, Masayoshi, Ippei Shimizu, Goro Katsuumi, et al.. (2022). Glycoprotein nonmetastatic melanoma protein B regulates lysosomal integrity and lifespan of senescent cells. Scientific Reports. 12(1). 6522–6522. 45 indexed citations
11.
Fukuda, Shinji, Tamotsu Kato, Masahide Seki, et al.. (2022). Impact of dietary fructooligosaccharides (FOS) on murine gut microbiota and intestinal IgA secretion. 3 Biotech. 12(2). 56–56. 8 indexed citations
12.
Kashima, Yukie, Lucky Ronald Runtuwene, Satoi Nagasawa, et al.. (2022). Intensive single-cell analysis reveals immune-cell diversity among healthy individuals. Life Science Alliance. 5(7). e202201398–e202201398. 5 indexed citations
13.
Nagasawa, Satoi, Yuta Kuze, Ichiro Maeda, et al.. (2021). Genomic profiling reveals heterogeneous populations of ductal carcinoma in situ of the breast. Communications Biology. 4(1). 438–438. 36 indexed citations
14.
Kashima, Yukie, Ayako Suzuki, Ikei S. Kobayashi, et al.. (2021). Single-Cell Analyses Reveal Diverse Mechanisms of Resistance to EGFR Tyrosine Kinase Inhibitors in Lung Cancer. Cancer Research. 81(18). 4835–4848. 49 indexed citations
15.
Sato, Mitsuhiko, et al.. (2021). Positive selective sweeps of epigenetic mutations regulating specialized metabolites in plants. Genome Research. 31(6). 1060–1068. 10 indexed citations
16.
Suzuki, Masami, Mihoko Saito-Adachi, Yasuhito Arai, et al.. (2020). E74-Like Factor 3 Is a Key Regulator of Epithelial Integrity and Immune Response Genes in Biliary Tract Cancer. Cancer Research. 81(2). 489–500. 23 indexed citations
17.
Matsui, Yusuke, Masahide Seki, Kiyoshi Yamaguchi, et al.. (2020). EXOSC9 depletion attenuates P-body formation, stress resistance, and tumorigenicity of cancer cells. Scientific Reports. 10(1). 9275–9275. 20 indexed citations
18.
Kashima, Yukie, et al.. (2020). Single-cell sequencing techniques from individual to multiomics analyses. Experimental & Molecular Medicine. 52(9). 1419–1427. 176 indexed citations
19.
Sakamoto, Yoshitaka, Liu Xu, Masahide Seki, et al.. (2020). Long-read sequencing for non-small-cell lung cancer genomes. Genome Research. 30(9). 1243–1257. 25 indexed citations
20.
Yoshida, Katsuo, et al.. (1991). [The effects of Cepharanthin on the recovery of hematopoietic stem cells after X-ray irradiation].. PubMed. 18(1). 81–4. 4 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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