Naoki Kagawa

3.6k total citations
108 papers, 1.8k citations indexed

About

Naoki Kagawa is a scholar working on Genetics, Epidemiology and Neurology. According to data from OpenAlex, Naoki Kagawa has authored 108 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 27 papers in Epidemiology and 25 papers in Neurology. Recurrent topics in Naoki Kagawa's work include Glioma Diagnosis and Treatment (42 papers), Meningioma and schwannoma management (25 papers) and Neurofibromatosis and Schwannoma Cases (13 papers). Naoki Kagawa is often cited by papers focused on Glioma Diagnosis and Treatment (42 papers), Meningioma and schwannoma management (25 papers) and Neurofibromatosis and Schwannoma Cases (13 papers). Naoki Kagawa collaborates with scholars based in Japan, United States and Switzerland. Naoki Kagawa's co-authors include Naoya Hashimoto, Toshiki Yoshimine, Manabu Kinoshita, Haruhiko Kishima, Shuichi Izumoto, Yasunori Fujimoto, Motohiko Maruno, Yoshiko Okita, Tsuyoshi Suzuki and Tetsuo Hashiba and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Naoki Kagawa

91 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Kagawa Japan 26 734 483 481 444 377 108 1.8k
Shuichi Izumoto Japan 25 579 0.8× 362 0.7× 364 0.8× 403 0.9× 549 1.5× 77 1.8k
Lynn S. Ashby United States 20 1.1k 1.5× 200 0.4× 591 1.2× 348 0.8× 304 0.8× 46 1.6k
Adriana Olar United States 18 1.1k 1.4× 283 0.6× 436 0.9× 383 0.9× 337 0.9× 49 1.6k
Masahide Matsuda Japan 21 622 0.8× 298 0.6× 204 0.4× 234 0.5× 218 0.6× 110 1.3k
Hirohito Yano Japan 22 953 1.3× 549 1.1× 384 0.8× 321 0.7× 241 0.6× 86 1.7k
Jennifer M. Propp United States 12 1.2k 1.7× 210 0.4× 622 1.3× 633 1.4× 511 1.4× 15 2.2k
Xavier Muracciole France 23 673 0.9× 195 0.4× 505 1.0× 437 1.0× 392 1.0× 71 1.8k
Ignacio Jusué-Torres United States 18 557 0.8× 256 0.5× 377 0.8× 677 1.5× 214 0.6× 84 1.7k
Masayuki Kanamori Japan 28 1.5k 2.1× 395 0.8× 406 0.8× 504 1.1× 677 1.8× 164 2.5k
Elena Anghileri Italy 21 1.2k 1.6× 168 0.3× 309 0.6× 195 0.4× 431 1.1× 59 1.8k

Countries citing papers authored by Naoki Kagawa

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Kagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kagawa. A scholar is included among the top collaborators of Naoki Kagawa 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 Naoki Kagawa. Naoki Kagawa 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.
Kuroda, Hideki, Yoshiko Okita, Ryuichi Hirayama, et al.. (2025). Cerebral blood flow and histological analysis for the accurate differentiation of infiltrating tumor and vasogenic edema in glioblastoma. PLoS ONE. 20(1). e0316168–e0316168. 2 indexed citations
2.
Takenaka, T, Takeo Nishida, Masatoshi Takagaki, et al.. (2025). Evaluating the effectiveness of preoperative embolization for meningioma with pial feeders: Analysis of perfusion magnetic resonance imaging. Interventional Neuroradiology. 4004408681–4004408681.
3.
Iwata, Takamitsu, Ryuichi Hirayama, Shuhei Yamada, et al.. (2024). Automated volumetry of meningiomas in contrast-enhanced T1-Weighted MRI using deep learning. World Neurosurgery X. 22. 100353–100353. 1 indexed citations
4.
Takenaka, T, Takeo Nishida, Masatoshi Takagaki, et al.. (2024). Ophthalmic Artery Feeders in Meningioma Reduce the Effectiveness of Transarterial Embolization With n-Butyl Cyanoacrylate. World Neurosurgery. 194. 123463–123463.
5.
6.
Furuse, Motomasa, Hiroko Kuwabara, Naokado Ikeda, et al.. (2020). PD-L1 and PD-L2 expression in the tumor microenvironment including peritumoral tissue in primary central nervous system lymphoma. BMC Cancer. 20(1). 36 indexed citations
7.
Hayashi, Kazuhiko, Naoki Kagawa, Manabu Kinoshita, et al.. (2019). Feasibility of Salvage Re-irradiation With Stereotactic Radiotherapy for Recurrent Glioma Using CyberKnife. Anticancer Research. 39(6). 2935–2940. 5 indexed citations
8.
Naito, Hisamichi, Yonehiro Kanemura, Tomohiro Iba, et al.. (2018). LPA4-Mediated Vascular Network Formation Increases the Efficacy of Anti–PD-1 Therapy against Brain Tumors. Cancer Research. 78(23). 6607–6620. 33 indexed citations
9.
Tsuboi, Akihiro, Naoya Hashimoto, Fumihiro Fujiki, et al.. (2018). A phase I clinical study of a cocktail vaccine of Wilms’ tumor 1 (WT1) HLA class I and II peptides for recurrent malignant glioma. Cancer Immunology Immunotherapy. 68(2). 331–340. 43 indexed citations
10.
Nakajima, Hajime, et al.. (2017). A Basic Concept of Smart Bed System to Support Caring and Nursing, and Creation of Private Sound Spaces. 40. 28. 1 indexed citations
11.
Narita, Yusuke, Motoo Nagane, Naoki Kagawa, et al.. (2016). 146P Tolerability and pharmacokinetics (PK) of ABT-414 in Japanese patients (pts) with recurrent malignant glioma. Annals of Oncology. 27. ix44–ix44. 1 indexed citations
12.
13.
Kinoshita, Manabu, Tetsu Goto, Hideyuki Arita, et al.. (2011). Imaging 18F-fluorodeoxy glucose/11C-methionine uptake decoupling for identification of tumor cell infiltration in peritumoral brain edema. Journal of Neuro-Oncology. 106(2). 417–425. 16 indexed citations
14.
Okita, Yoshiko, Manabu Kinoshita, Tetsu Goto, et al.. (2009). 11C-methionine uptake correlates with tumor cell density rather than with microvessel density in glioma: A stereotactic image-histology comparison. NeuroImage. 49(4). 2977–2982. 60 indexed citations
15.
Miguchi, Masashi, Yasuhiro Matsugu, Hideki Nakahara, et al.. (2008). RECTAL INVAGINATION DUE TO RECTOSIGMOID CARCINOMA IN AN ADULT. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 69(10). 2629–2634. 1 indexed citations
16.
Shimomura, Manabu, Naoki Kagawa, Masahiro Yamashita, et al.. (2008). LOCAL RECURRENCE OF BREAST CANCER 32 YEARS AFTER MODIFIED RADICAL MASTECTOMY-A CASE REPORT-. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 69(10). 2499–2504. 1 indexed citations
17.
Nakahara, Hideki, Hiroshi Mitsuta, Toshihiko Kohashi, et al.. (2008). A case report of recurrent hepatocellular carcinoma treated by radiotherapy. Kanzo. 49(2). 65–71. 1 indexed citations
18.
Tanaka, Tsuneo, Yasuhiro Matsugu, Naoki Kagawa, et al.. (2007). Modification of POSSUM Score for Gastrointestinal Surgery. The Japanese Journal of Gastroenterological Surgery. 40(1). 1–7. 4 indexed citations
19.
Hashiba, Tetsuo, Naoya Hashimoto, Motohiko Maruno, et al.. (2006). Scoring radiologic characteristics to predict proliferative potential in meningiomas. Brain Tumor Pathology. 23(1). 49–54. 38 indexed citations
20.
Fujimoto, Yasunori, Shuichi Izumoto, Tsuyoshi Suzuki, et al.. (2005). Ganglioside GM3 inhibits proliferation and invasion of glioma. Journal of Neuro-Oncology. 71(2). 99–106. 34 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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