Yasuo Sugita

4.4k total citations · 1 hit paper
171 papers, 3.2k citations indexed

About

Yasuo Sugita is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Yasuo Sugita has authored 171 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Genetics, 43 papers in Neurology and 42 papers in Molecular Biology. Recurrent topics in Yasuo Sugita's work include Glioma Diagnosis and Treatment (50 papers), Lymphoma Diagnosis and Treatment (30 papers) and CNS Lymphoma Diagnosis and Treatment (17 papers). Yasuo Sugita is often cited by papers focused on Glioma Diagnosis and Treatment (50 papers), Lymphoma Diagnosis and Treatment (30 papers) and CNS Lymphoma Diagnosis and Treatment (17 papers). Yasuo Sugita collaborates with scholars based in Japan, United States and Canada. Yasuo Sugita's co-authors include Koichi Ohshima, Minoru Shigemori, Daisuke Niino, Fumiko Arakawa, Yoshizo Kimura, Junichi Kiyasu, Hiroaki Miyoshi, Mizuhiko Terasaki, Osamu Tokunaga and Ryosuke Aoki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yasuo Sugita

162 papers receiving 3.2k citations

Hit Papers

Expression of programmed cell death ligand 1 is associate... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuo Sugita Japan 29 1.3k 1.2k 912 676 647 171 3.2k
Shaoying Li United States 31 1.7k 1.3× 1.3k 1.1× 1.0k 1.1× 372 0.6× 463 0.7× 210 3.4k
Karen Leroy France 38 2.1k 1.7× 2.0k 1.7× 591 0.6× 531 0.8× 957 1.5× 126 4.8k
Hélène Merle‐Béral France 37 1.6k 1.3× 874 0.8× 1.6k 1.7× 712 1.1× 1.7k 2.6× 157 4.3k
Steven C. Ziesmer United States 35 1.2k 1.0× 1.2k 1.0× 716 0.8× 199 0.3× 1.5k 2.4× 65 3.2k
Massimo Geuna Italy 32 983 0.8× 1.1k 0.9× 1.1k 1.2× 189 0.3× 1.5k 2.3× 84 4.4k
Silke Brüderlein Germany 30 711 0.6× 870 0.7× 356 0.4× 266 0.4× 746 1.2× 65 3.5k
Nicolás Ortonne France 37 1.4k 1.1× 702 0.6× 329 0.4× 746 1.1× 606 0.9× 203 4.8k
Aliakbar Shahsafaei United States 32 834 0.7× 898 0.8× 322 0.4× 220 0.3× 1.0k 1.6× 60 2.6k
Yasuhide Hayashi Japan 45 514 0.4× 917 0.8× 727 0.8× 926 1.4× 604 0.9× 226 7.1k
Anand S. Lagoo United States 28 579 0.5× 766 0.7× 463 0.5× 213 0.3× 672 1.0× 70 2.8k

Countries citing papers authored by Yasuo Sugita

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Sugita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Sugita

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Sugita. A scholar is included among the top collaborators of Yasuo Sugita 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 Yasuo Sugita. Yasuo Sugita 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.
Matsumoto, Yoshihisa, Koichi Higaki, Takuya Furuta, et al.. (2022). Gliosarcoma with unusual glial components: Two case reports. Neuropathology. 42(4). 282–288. 1 indexed citations
3.
Sakata, Kiyohiko, Takeharu Ono, Satoru Komaki, et al.. (2021). Primary Pituitary Adenoid Cystic Carcinoma: A Rare Salivary Gland-Like Tumor in the Sella. Head and Neck Pathology. 15(4). 1289–1298. 1 indexed citations
5.
Sugita, Yasuo, Takuya Furuta, Yuki Shiimura, et al.. (2020). Expression of the ghrelin/growth hormone secretagogue receptor axis and its functional role in promoting tumor growth in primary central nervous system lymphomas. Neuropathology. 40(3). 232–239. 6 indexed citations
6.
Sugita, Yasuo, Jun Masuoka, Kenji Takahashi, et al.. (2020). Primary central nervous system lymphomas associated with chronic inflammation: diagnostic pitfalls of central nervous system lymphomas. Brain Tumor Pathology. 37(4). 127–135. 5 indexed citations
7.
Komaki, Satoru, et al.. (2019). Leptomeningeal Carcinomatosis After Neoplastic Cerebral Aneurysm Rupture. World Neurosurgery. 126. 281–284. 2 indexed citations
8.
Hara, Tatsuru, Kenji Yagita, & Yasuo Sugita. (2019). Pathogenic free‐living amoebic encephalitis in Japan. Neuropathology. 39(4). 251–258. 23 indexed citations
9.
Furuta, Takuya, Hiroaki Miyoshi, Satoru Komaki, et al.. (2018). Clinicopathological and genetic association between epithelioid glioblastoma and pleomorphic xanthoastrocytoma. Neuropathology. 38(3). 218–227. 29 indexed citations
10.
Ichikawa, Ayako, Hiroaki Miyoshi, Takuji Yamauchi, et al.. (2017). Composite lymphoma of peripheral T‐cell lymphoma and Hodgkin lymphoma, mixed cellularity type; pathological and molecular analysis. Pathology International. 67(4). 194–201. 7 indexed citations
11.
Sugita, Yasuo, Takuya Furuta, Koichi Ohshima, et al.. (2017). The perivascular microenvironment in Epstein–Barr virus positive primary central nervous system lymphoma: The role of programmed cell death 1 and programmed cell death ligand 1. Neuropathology. 38(2). 125–134. 20 indexed citations
12.
Nakamura, Yukihiko, Yasuo Sugita, Shinji Nakashima, et al.. (2015). Alternatively Activated Macrophages Play an Important Role in Vascular Remodeling and Hemorrhaging in Patients with Brain Arteriovenous Malformation. Journal of Stroke and Cerebrovascular Diseases. 25(3). 600–609. 18 indexed citations
13.
Fotovati, Abbas, Loic P. Deleyrolle, Cathy Lee, et al.. (2011). YB-1 Bridges Neural Stem Cells and Brain Tumor–Initiating Cells via Its Roles in Differentiation and Cell Growth. Cancer Research. 71(16). 5569–5578. 69 indexed citations
14.
Abe, Hideyuki, Akihiko Kawahara, Yasuo Sugita, et al.. (2011). Follow‐up evaluation of radiation‐induced DNA damage in CSF disseminated high‐grade glioma using phospho‐histone H2AX antibody. Diagnostic Cytopathology. 40(5). 435–439. 1 indexed citations
15.
Sugita, Yasuo, et al.. (2009). The tumor of the third ventricle. Neuropathology. 30(1). 97–100. 2 indexed citations
16.
Sugita, Yasuo, et al.. (2002). Astroblastoma with unusual signet‐ring‐like cell components: A case report and literature review. Neuropathology. 22(3). 200–205. 22 indexed citations
17.
Takahashi, Yoshihiko, et al.. (1998). Fatal hemorrhage from rupture of the intracranial internal carotid artery caused by aspergillus arteritis. Neurosurgical Review. 21(2-3). 198–201. 8 indexed citations
18.
Sugita, Yasuo, Takashi Yamamoto, Kazuya Morimoto, et al.. (1994). Neuroblastomas of the Central Nervous System. Clinicopathological Features of a Cerebellar Neuroblastoma in Comparison with a Metastatic Cerebral Neuroblastoma.. The Kurume Medical Journal. 41(2). 87–95. 1 indexed citations
19.
Kobayashi, Shinjiro, et al.. (1985). Results of surgical treatment for metastatic brain tumors. 13(8). 825–830.
20.
Yamada, Takashi, et al.. (1970). Effects of Several Drugs on Plasma Protein-Thyroxine Interaction and Thyroxine Metabolism in the Rat. 7. 83–101. 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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