Satoshi Nakasu

2.9k total citations
120 papers, 2.2k citations indexed

About

Satoshi Nakasu is a scholar working on Neurology, Genetics and Epidemiology. According to data from OpenAlex, Satoshi Nakasu has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Neurology, 44 papers in Genetics and 37 papers in Epidemiology. Recurrent topics in Satoshi Nakasu's work include Glioma Diagnosis and Treatment (44 papers), Meningioma and schwannoma management (37 papers) and Neurofibromatosis and Schwannoma Cases (28 papers). Satoshi Nakasu is often cited by papers focused on Glioma Diagnosis and Treatment (44 papers), Meningioma and schwannoma management (37 papers) and Neurofibromatosis and Schwannoma Cases (28 papers). Satoshi Nakasu collaborates with scholars based in Japan, United States and Nigeria. Satoshi Nakasu's co-authors include Yoko Nakasu, Jyoji Handa, Masayuki Matsuda, Masayuki Nakajima, Tadateru Fukami, J Handa, Toshiro Shimura, Josefina F. Llena, Asao Hirano and Shigehiro Morikawa and has published in prestigious journals such as Journal of neurosurgery, Journal of Neurology Neurosurgery & Psychiatry and The American Journal of Surgical Pathology.

In The Last Decade

Satoshi Nakasu

116 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Nakasu Japan 27 1.0k 1.0k 642 583 435 120 2.2k
Osami Kubo Japan 32 956 0.9× 928 0.9× 1.0k 1.6× 682 1.2× 713 1.6× 143 2.9k
Gérard Mohr Canada 27 736 0.7× 1.0k 1.0× 1.0k 1.6× 637 1.1× 636 1.5× 83 3.2k
Yoko Nakasu Japan 30 637 0.6× 705 0.7× 812 1.3× 513 0.9× 270 0.6× 145 2.7k
Marialaura Del Basso De Italy 29 1.2k 1.2× 810 0.8× 737 1.1× 979 1.7× 1.1k 2.6× 146 3.1k
Karen L. Salzman United States 31 623 0.6× 909 0.9× 554 0.9× 763 1.3× 148 0.3× 77 2.6k
Fabio Calbucci Italy 24 718 0.7× 626 0.6× 1.3k 2.0× 628 1.1× 334 0.8× 74 2.7k
Yoshimasa Mori Japan 28 955 0.9× 856 0.8× 719 1.1× 453 0.8× 319 0.7× 114 2.7k
Toshihiko Kubota Japan 31 591 0.6× 853 0.8× 889 1.4× 677 1.2× 246 0.6× 190 3.4k
Christopher Duma United States 22 1.0k 1.0× 1.2k 1.2× 388 0.6× 483 0.8× 184 0.4× 45 2.3k
C. L. Solero Italy 30 1.3k 1.2× 1.2k 1.1× 782 1.2× 1.4k 2.3× 141 0.3× 76 2.9k

Countries citing papers authored by Satoshi Nakasu

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Nakasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Nakasu

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Nakasu. A scholar is included among the top collaborators of Satoshi Nakasu 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 Satoshi Nakasu. Satoshi Nakasu 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.
Nakasu, Satoshi, Shoichi Deguchi, Koichi Mitsuya, Akifumi Notsu, & Yoko Nakasu. (2025). Prognostic implication of CDKN2A/B homozygous deletion on histological grades in isocitrate dehydrogenase-mutant astrocytomas: A systematic review and meta-analysis. Neuro-Oncology Advances. 7(1). vdaf171–vdaf171.
2.
Nakasu, Satoshi, Shoichi Deguchi, & Yoko Nakasu. (2024). Frequency and Prognostic Impact of CDKN2A/B Alteration in Oligodendrogliomas: Systematic Review and Meta-analysis. Neurologia medico-chirurgica. 64(12). 442–450. 1 indexed citations
3.
Mitsuya, Koichi, Yoko Nakasu, Yoshitaka Narita, et al.. (2016). “Comet tail sign”: A pitfall of post-gadolinium magnetic resonance imaging findings for metastatic brain tumors. Journal of Neuro-Oncology. 127(3). 589–595. 5 indexed citations
4.
Nakasu, Satoshi, et al.. (2010). Growth curve analysis of asymptomatic and symptomatic meningiomas. Journal of Neuro-Oncology. 102(2). 303–310. 59 indexed citations
5.
Ishida, Masatoshi, et al.. (2010). Malignant transformation in craniopharyngioma after radiation therapy: a case report and review of the literature. Clinical Neuropathology. 29(1). 2–8. 27 indexed citations
6.
Nakasu, Satoshi, et al.. (2009). Recurrence and regrowth of benign meningiomas. Brain Tumor Pathology. 26(2). 69–72. 71 indexed citations
7.
Fukami, Tadateru, et al.. (2004). Hyperthermia induces translocation of apoptosis-inducing factor (AIF) and apoptosis in human glioma cell lines. Journal of Neuro-Oncology. 70(3). 319–331. 28 indexed citations
8.
Kanat, Ayhan, et al.. (1999). RECURRENT MENINGIOMAS. AUTHORS' REPLY. Journal of neurosurgery. 91(4). 720–721. 1 indexed citations
9.
Nakasu, Satoshi, Masayuki Nakajima, & Jyoji Handa. (1999). Anomalous p27kip1 expression in a subset of malignant gliomas. Brain Tumor Pathology. 16(1). 17–21. 16 indexed citations
10.
Shiino, Akihiko, Satoshi Nakasu, Masayuki Matsuda, et al.. (1999). Noninvasive evaluation of the malignant potential of intracranial meningiomas performed using proton magnetic resonance spectroscopy. Journal of neurosurgery. 91(6). 928–934. 67 indexed citations
11.
Nakasu, Yoko, et al.. (1998). Postoperative Sella: Evaluation with Fast Spin Echo T2-weighted High-resolution Imaging. Neurosurgery. 43(3). 440–446. 10 indexed citations
12.
Nakasu, Satoshi, Masayuki Nakajima, Takuya Nakazawa, Yoko Nakasu, & J Handa. (1997). p53 accumulation and apoptosis in embolized meningiomas. Acta Neuropathologica. 93(6). 599–605. 15 indexed citations
13.
Nakasu, Satoshi, et al.. (1994). bcl-2 protein expression in tumors of the central nervous system. Acta Neuropathologica. 88(6). 520–526. 68 indexed citations
14.
Nakasu, Yoko, et al.. (1991). Thoracic Meningocele in Neurofibromatosis. Journal of Computer Assisted Tomography. 15(6). 1062–1064. 12 indexed citations
15.
Nakasu, Yoko, et al.. (1990). A case of small cerebral infarction presenting with drop hand.. Nosotchu. 12(4). 401–403.
16.
Matsuda, Masayuki, Satoshi Nakasu, Takuya Nakazawa, & Jyoji Handa. (1990). Cerebral hemodynamics in patients with normal pressure hydrocephalus: Correlation between cerebral circulation time and dementia. Surgical Neurology. 34(6). 396–401. 21 indexed citations
17.
Nakasu, Yoko, et al.. (1990). Rathke's cleft cyst. Acta Neurochirurgica. 103(3-4). 99–104. 20 indexed citations
18.
Nakasu, Satoshi, et al.. (1985). Transient spontaneous regression of mass effect with glioma. Acta Neurochirurgica. 74(1-2). 53–56. 2 indexed citations
19.
Nakasu, Yoko, Satoshi Nakasu, Kazuo Okamoto, & Jyoji Handa. (1982). Dynamic CT and functional imaging with intracranial tumors. 4(6). 671–679. 1 indexed citations
20.
Handa, J, Kazuo Okamoto, Yoko Nakasu, Satoshi Nakasu, & Yoshihisa Nakano. (1981). Computed tomography of intracranial epidermoid tumours with special reference to atypical features. Acta Neurochirurgica. 58(3-4). 221–228. 37 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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