Shunsuke Kimura

1.7k total citations
40 papers, 476 citations indexed

About

Shunsuke Kimura is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Shunsuke Kimura has authored 40 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Hematology. Recurrent topics in Shunsuke Kimura's work include Genomic variations and chromosomal abnormalities (8 papers), Acute Lymphoblastic Leukemia research (7 papers) and Acute Myeloid Leukemia Research (5 papers). Shunsuke Kimura is often cited by papers focused on Genomic variations and chromosomal abnormalities (8 papers), Acute Lymphoblastic Leukemia research (7 papers) and Acute Myeloid Leukemia Research (5 papers). Shunsuke Kimura collaborates with scholars based in Japan, United States and Germany. Shunsuke Kimura's co-authors include Charles G. Mullighan, Kouji Narahara, Hiroshi Kimoto, Ilaria Iacobucci, Tatsuya Abé, Yukio Takahashi, Toru Maekawa, Akira Murakami, Kiyoshi Kikkawa and Shiro Nagai and has published in prestigious journals such as Blood, PLoS ONE and Cancer.

In The Last Decade

Shunsuke Kimura

35 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunsuke Kimura Japan 13 203 144 95 83 80 40 476
Anna Leszl Italy 13 230 1.1× 84 0.6× 186 2.0× 132 1.6× 60 0.8× 34 506
P. Mollevanger Netherlands 13 196 1.0× 189 1.3× 65 0.7× 49 0.6× 49 0.6× 19 428
Javier Suela Spain 13 268 1.3× 145 1.0× 158 1.7× 39 0.5× 52 0.7× 31 539
Tatjana Kilo Australia 7 213 1.0× 114 0.8× 237 2.5× 75 0.9× 115 1.4× 10 573
Barbara Adler‐Brecher United States 7 462 2.3× 163 1.1× 197 2.1× 111 1.3× 52 0.7× 9 677
Angela Douglas United Kingdom 8 135 0.7× 71 0.5× 111 1.2× 69 0.8× 55 0.7× 10 483
Anke K. Bergmann Germany 12 244 1.2× 59 0.4× 113 1.2× 98 1.2× 94 1.2× 34 524
Anja Troeger Germany 12 183 0.9× 47 0.3× 91 1.0× 69 0.8× 170 2.1× 35 493
T.S.K. Wan China 13 269 1.3× 99 0.7× 249 2.6× 101 1.2× 45 0.6× 44 610
J. W. G. Janssen Germany 13 234 1.2× 71 0.5× 271 2.9× 112 1.3× 111 1.4× 18 564

Countries citing papers authored by Shunsuke Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Shunsuke Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunsuke Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Shunsuke Kimura. A scholar is included among the top collaborators of Shunsuke Kimura 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 Shunsuke Kimura. Shunsuke Kimura 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.
Watanabe, Kentaro, Keiji Tasaka, Shota Kato, et al.. (2024). Inhibition of the galactosyltransferase C1GALT1 reduces osteosarcoma cell proliferation by interfering with ERK signaling and cell cycle progression. Cancer Gene Therapy. 31(7). 1049–1059. 4 indexed citations
2.
Tian, Mi, Andrew G. Soerens, Shanta Alli, et al.. (2024). Conserved epigenetic hallmarks of T cell aging during immunity and malignancy. Nature Aging. 4(8). 1053–1063. 15 indexed citations
3.
4.
Smits, Willem K., Carlo Vermeulen, Shunsuke Kimura, et al.. (2023). Elevated enhancer-oncogene contacts and higher oncogene expression levels by recurrent CTCF inactivating mutations in acute T cell leukemia. Cell Reports. 42(4). 112373–112373. 5 indexed citations
5.
Arakawa, Yuki, Daisuke Hasegawa, Takako Miyamura, et al.. (2022). Postchemotherapy immune status in infants with acute lymphoblastic leukemia: A report from the JPLSG MLL‐10 trial. Pediatric Blood & Cancer. 69(10). e29772–e29772.
6.
Kimura, Shunsuke, Masahiro Sekiguchi, Kentaro Watanabe, et al.. (2021). Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism. PLoS ONE. 16(1). e0245526–e0245526. 11 indexed citations
7.
Kimura, Shunsuke, Masahiro Sekiguchi, Yasuo Kubota, et al.. (2021). Description of longitudinal tumor evolution in a case of multiply relapsed clear cell sarcoma of the kidney. Cancer Reports. 5(2). e1458–e1458. 3 indexed citations
8.
Iacobucci, Ilaria, Shunsuke Kimura, & Charles G. Mullighan. (2021). Biologic and Therapeutic Implications of Genomic Alterations in Acute Lymphoblastic Leukemia. Journal of Clinical Medicine. 10(17). 3792–3792. 49 indexed citations
9.
Tasaka, Keiji, Hiroo Ueno, Kai Yamasaki, et al.. (2021). Oncogenic FGFR1 mutation and amplification in common cellular origin in a composite tumor with neuroblastoma and pheochromocytoma. Cancer Science. 113(4). 1535–1541. 4 indexed citations
10.
Kimura, Shunsuke & Charles G. Mullighan. (2020). Molecular markers in ALL: Clinical implications. Best Practice & Research Clinical Haematology. 33(3). 101193–101193. 30 indexed citations
11.
Kimura, Shunsuke. (2019). [Genetic and epigenetic landscape of pediatric T-cell acute lymphoblastic leukemia].. PubMed. 60(5). 459–467. 1 indexed citations
12.
Hasegawa, Daisuke, Shunsuke Kimura, Tadashi Kumamoto, et al.. (2019). Bortezomib-containing therapy in Japanese children with relapsed acute lymphoblastic leukemia. International Journal of Hematology. 110(5). 627–634. 6 indexed citations
13.
Kimura, Shunsuke, Masafumi Seki, Kenichi Yoshida, et al.. (2018). NOTCH1 pathway activating mutations and clonal evolution in pediatric T‐cell acute lymphoblastic leukemia. Cancer Science. 110(2). 784–794. 19 indexed citations
14.
Togo, Masako, Tatsushi Toda, S. Kubota, et al.. (2001). Genetic analysis of phytosterolaemia. Journal of Inherited Metabolic Disease. 24(1). 43–50. 6 indexed citations
15.
Kimura, Shunsuke, Tsutomu Hirasawa, Kazuichi Nakamura, et al.. (1998). Genetic control of peripheral T-cell deficiency in the cataract Shionogi (CTS) mouse linked to chromosome 7. Immunogenetics. 47(3). 278–280. 2 indexed citations
16.
Kimura, Shunsuke, et al.. (1990). [Aplastic anemia associated with minimal serum M-protein treated successfully with repeated bolus methylprednisolone therapy].. PubMed. 31(4). 506–10. 1 indexed citations
17.
Takahashi, Yukio, et al.. (1985). Interstitial deletion of the long arm of chromosome 2: A case report and review of the literature. The Japanese Journal of Human Genetics. 30(4). 297–305. 26 indexed citations
18.
Narahara, Kouji, et al.. (1979). A case of partial trisomy 22 resulting from maternal 11/22 translocation. The Japanese Journal of Human Genetics. 24(4). 253–258. 3 indexed citations
19.
Miyoshi, Isao, et al.. (1974). Down's syndrome: Establishment of lymphoblastoid cell lines with trisomy 21. Cancer. 33(3). 739–742. 3 indexed citations
20.
Kimura, Shunsuke, Yuya Kobayashi, & Hiroshi Kimoto. (1972). A case with partial deletion of the long arm of chromosome D: The 13q-deletion syndrome. Birth Defects Research. 6(1). 110–111. 1 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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