Masashi Naito

1.5k total citations
60 papers, 1.1k citations indexed

About

Masashi Naito is a scholar working on Surgery, Molecular Biology and Rheumatology. According to data from OpenAlex, Masashi Naito has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Molecular Biology and 11 papers in Rheumatology. Recurrent topics in Masashi Naito's work include Helicobacter pylori-related gastroenterology studies (7 papers), Glioma Diagnosis and Treatment (4 papers) and Musculoskeletal synovial abnormalities and treatments (4 papers). Masashi Naito is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (7 papers), Glioma Diagnosis and Treatment (4 papers) and Musculoskeletal synovial abnormalities and treatments (4 papers). Masashi Naito collaborates with scholars based in Japan, United States and Greece. Masashi Naito's co-authors include John DiGiovanni, Yukiko Naito, Akihiro Ito, Masashi Kiguchi, K. Ozawa, Yuki Naito, Hirohisa Watanabe, Keigo Kawashima, Sakae Tanaka and Hiromitsu Watanabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Scientific Reports.

In The Last Decade

Masashi Naito

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masashi Naito Japan 19 384 147 142 133 129 60 1.1k
Lili Wei China 24 537 1.4× 279 1.9× 59 0.4× 73 0.5× 129 1.0× 82 1.5k
Mortaza Bonyadi Iran 19 651 1.7× 125 0.9× 31 0.2× 157 1.2× 76 0.6× 93 1.3k
Ru Chen China 18 224 0.6× 110 0.7× 38 0.3× 31 0.2× 70 0.5× 84 793
Young Joo Shin South Korea 24 325 0.8× 124 0.8× 37 0.3× 46 0.3× 120 0.9× 103 1.7k
Ming‐Hsui Tsai Taiwan 22 481 1.3× 238 1.6× 47 0.3× 58 0.4× 38 0.3× 79 1.5k
María Collantes Spain 22 453 1.2× 94 0.6× 38 0.3× 81 0.6× 20 0.2× 67 1.4k
Lei Wu China 18 404 1.1× 165 1.1× 43 0.3× 33 0.2× 64 0.5× 83 1.0k
Rong Xie China 21 705 1.8× 179 1.2× 16 0.1× 141 1.1× 176 1.4× 84 1.4k
Ming Qi China 12 331 0.9× 81 0.6× 21 0.1× 42 0.3× 68 0.5× 28 767
Weiqing Liu China 17 461 1.2× 134 0.9× 17 0.1× 83 0.6× 76 0.6× 43 938

Countries citing papers authored by Masashi Naito

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Naito. A scholar is included among the top collaborators of Masashi Naito 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 Masashi Naito. Masashi Naito 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.
Tamai, Kazuya, et al.. (2024). Can magnetic resonance imaging distinguish clinical stages of frozen shoulder? A state-of-the-art review. SHILAP Revista de lepidopterología. 4(3). 365–370.
2.
Tamai, Kazuya, Jun‐ichiro Hamada, Yuichi Nagase, et al.. (2023). Frozen shoulder. An overview of pathology and biology with hopes to novel drug therapies. Modern Rheumatology. 34(3). 439–443. 10 indexed citations
3.
4.
Matsumoto, Takumi, et al.. (2019). Gorham-Stout Syndrome of the Shoulder Girdle Successfully Controlled by Antiresorptive Agents. JBJS Case Connector. 9(2). e0285–e0285. 4 indexed citations
5.
6.
Matsumoto, Takumi, Jinju Nishino, Naohiro Izawa, et al.. (2017). Trends in Treatment, Outcomes, and Incidence of Orthopedic Surgery in Patients with Rheumatoid Arthritis: An Observational Cohort Study Using the Japanese National Database of Rheumatic Diseases. The Journal of Rheumatology. 44(11). 1575–1582. 42 indexed citations
7.
Naito, Masashi, Takumi Matsumoto, Song Ho Chang, et al.. (2017). Recalcitrant Lateral Premalleolar Bursitis of the Ankle Associated with Lateral Ankle Instability. SHILAP Revista de lepidopterología. 2017(1). 4854812–4854812. 5 indexed citations
8.
Naito, Masashi, Masaki Mori, Masayo Inagawa, et al.. (2016). Dnmt3a Regulates Proliferation of Muscle Satellite Cells via p57Kip2. PLoS Genetics. 12(7). e1006167–e1006167. 41 indexed citations
9.
Naito, Masashi, Ichiro Nakamura, & Katsumi Ito. (2014). Simultaneous bilateral posterior interosseous nerve palsy caused by rheumatoid synovitis of the elbows. Modern Rheumatology. 24(6). 1005–1010. 3 indexed citations
10.
Naito, Masashi, Atsushi Matsui, Mie Inao, et al.. (2005). SNPs in the promoter region of the osteopontin gene as a marker predicting the efficacy of interferon-based therapies in patients with chronic hepatitis C. Journal of Gastroenterology. 40(4). 381–388. 58 indexed citations
11.
Mochida, Satoshi, Michie Hashimoto, Atsushi Matsui, et al.. (2003). Genetic polymorphims in promoter region of osteopontin gene may be a marker reflecting hepatitis activity in chronic hepatitis C patients. Biochemical and Biophysical Research Communications. 313(4). 1079–1085. 43 indexed citations
12.
Fukumatsu, Y., et al.. (1992). Effect of macrophages on proliferation of granulosa cells in the ovary in rats. Reproduction. 96(1). 241–249. 60 indexed citations
13.
DiGiovanni, John, Akira Imamoto, Masashi Naito, et al.. (1992). Further genetic analyses of skin tumor promoter susceptibility using inbred and recombinant inbred mice. Carcinogenesis. 13(4). 525–531. 33 indexed citations
14.
Ito, Akihiro, Masahiro Mori, & Masashi Naito. (1989). Induction of Uterine Hemangioendothelioma and Lymphoma in (C57BL/6N×C3H/2N)F1 Mice by Oral Administration of Azathioprine. Japanese Journal of Cancer Research. 80(5). 419–423. 9 indexed citations
15.
Naito, Masashi, et al.. (1989). Effects of sex difference, gonadectomy and estradiol on N-ethyl-N-nitrosourea-induced trigeminal nerve tumors in rats. Carcinogenesis. 10(8). 1505–1509. 5 indexed citations
16.
Kruszewski, Francis H., Masashi Naito, Yukiko Naito, & John DiGiovanni. (1989). Histologic Alterations Produced by Chrysarobin (1,8-dihydroxy-3-methyl-9-anthrone) in SENCAR Mouse Skin: Relationship to Skin Tumor Promoting Activity. Journal of Investigative Dermatology. 92(1). 64–71. 18 indexed citations
17.
18.
Hirabayashi, Naoki, et al.. (1988). sn-1,2-Didecanoylglycerol effectively induces epidermal ornithine decarboxylase but only weak hyperplasia in mouse skin. Carcinogenesis. 9(12). 2215–2220. 7 indexed citations
19.
Okuno, Hanako, Masashi Naito, & Yoshiyuki Sakaki. (1987). Core losses of sputtered supermalloy multilayered core over 1 MHz. IEEE Transactions on Magnetics. 23(5). 2743–2745. 6 indexed citations
20.
Watanabe, Hiromitsu, Masashi Naito, Keigo Kawashima, & Akihiro Ito. (1985). pH‐RELATED DIFFERENTIATION IN THE EPITHELIA OF THE GASTRIC MUCOSA OF POSTNATAL RATS. Acta Pathologica Japonica. 35(3). 569–576. 7 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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