Masujiro Makita

1.5k total citations
69 papers, 1.0k citations indexed

About

Masujiro Makita is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Masujiro Makita has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cancer Research, 31 papers in Pathology and Forensic Medicine and 29 papers in Oncology. Recurrent topics in Masujiro Makita's work include Breast Cancer Treatment Studies (41 papers), Breast Lesions and Carcinomas (30 papers) and Cancer and Skin Lesions (10 papers). Masujiro Makita is often cited by papers focused on Breast Cancer Treatment Studies (41 papers), Breast Lesions and Carcinomas (30 papers) and Cancer and Skin Lesions (10 papers). Masujiro Makita collaborates with scholars based in Japan, United Kingdom and India. Masujiro Makita's co-authors include Takuji Iwase, Futoshi Akiyama, Fujio Kasumi, Masataka Yoshimoto, Goi Sakamoto, Seiichiro Nishimura, Keiichiro Tada, Kaoru Takahashi, Rie Horii and Kotaro Iijima and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and British Journal of Cancer.

In The Last Decade

Masujiro Makita

61 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
Masujiro Makita Japan 18 588 500 447 244 192 69 1.0k
Howard C. Snider United States 16 1.1k 1.9× 783 1.6× 394 0.9× 567 2.3× 99 0.5× 29 1.4k
Susanne H. Estourgie Netherlands 12 463 0.8× 390 0.8× 363 0.8× 370 1.5× 66 0.3× 20 910
Kotaro Iijima Japan 18 487 0.8× 276 0.6× 503 1.1× 153 0.6× 91 0.5× 59 873
Celia Chao United States 13 540 0.9× 513 1.0× 374 0.8× 492 2.0× 62 0.3× 28 1.1k
Jerzy Jakubowicz Poland 15 295 0.5× 248 0.5× 325 0.7× 141 0.6× 115 0.6× 58 931
Shoshu Mitsuyama Japan 16 293 0.5× 216 0.4× 337 0.8× 143 0.6× 92 0.5× 82 737
Ni Ni Ku United States 19 1.3k 2.2× 1.2k 2.3× 426 1.0× 823 3.4× 166 0.9× 34 1.6k
S Marchini Italy 9 626 1.1× 414 0.8× 541 1.2× 327 1.3× 91 0.5× 17 950
Alberto Costa Italy 7 1.5k 2.5× 1.2k 2.3× 512 1.1× 1.0k 4.2× 155 0.8× 9 1.9k
Ian Monypenny United Kingdom 7 1.3k 2.3× 1.0k 2.1× 549 1.2× 836 3.4× 84 0.4× 8 1.7k

Countries citing papers authored by Masujiro Makita

Since Specialization
Citations

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

Fields of papers citing papers by Masujiro Makita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masujiro Makita

This figure shows the co-authorship network connecting the top 25 collaborators of Masujiro Makita. A scholar is included among the top collaborators of Masujiro Makita 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 Masujiro Makita. Masujiro Makita 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.
Jikuzono, Tomoo, Shoko Kure, Haruki Akasu, et al.. (2022). RNA recovery from specimens of duct-washing cytology performed contemporaneously with mammary ductoscopy. BMC Research Notes. 15(1). 34–34. 1 indexed citations
2.
Makita, Masujiro, et al.. (2021). The Number of Sentinel Lymph Nodes Could be Optimized by Adjusting the Injection Dose. SHILAP Revista de lepidopterología. 37–43. 1 indexed citations
3.
Jikuzono, Tomoo, Shoko Kure, Haruki Akasu, et al.. (2021). Microarray analysis of ductal carcinoma in situ samples obtained by puncture from surgical resection specimens. BMC Research Notes. 14(1). 340–340. 2 indexed citations
4.
5.
Honma, Naoko, Masujiro Makita, Shigehira Saji, et al.. (2019). Characteristics of adverse events of endocrine therapies among older patients with breast cancer. Supportive Care in Cancer. 27(10). 3813–3822. 12 indexed citations
6.
Makita, Masujiro, Takehiko Sakai, Akiko Ogiya, et al.. (2014). Optimal surveillance for postoperative metastasis in breast cancer patients. Breast Cancer. 23(2). 286–294. 10 indexed citations
7.
8.
Makita, Masujiro, Keiichi Iwaya, Futoshi Akiyama, et al.. (2012). High levels of DJ‐1 protein in nipple fluid of patients with breast cancer. Cancer Science. 103(6). 1172–1176. 27 indexed citations
9.
Ito, Yoshinori, Koichi Nagasaki, Yoshio Miki, et al.. (2010). Prospective randomized phase II study determines the clinical usefulness of genetic biomarkers for sensitivity to primary chemotherapy with paclitaxel in breast cancer. Cancer Science. 102(1). 130–136. 2 indexed citations
10.
Tada, Keiichiro, Akiko Ogiya, Kiyomi Kimura, et al.. (2010). Ductal carcinoma in situ and sentinel lymph node metastasis in breast cancer. World Journal of Surgical Oncology. 8(1). 6–6. 26 indexed citations
11.
Akiyama, Futoshi, et al.. (2008). A CASE OF ADENOID CYSTIC CARCINOMA OF THE BREAST DIAGNOSED ITS HISTLOGIC TYPE BY ASPIRATION BIOPSY. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 69(6). 1326–1330. 1 indexed citations
12.
Ogiya, Akiko, Masujiro Makita, Kotaro Iijima, et al.. (2007). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 16(2). 213–217.
13.
Makita, Masujiro, Futoshi Akiyama, Naoya Gomi, et al.. (2006). Endoscopic and Histologic Findings of Intraductal Lesions Presenting with Nipple Discharge. The Breast Journal. 12(s2). S210–S217. 17 indexed citations
14.
Sakai, Takehiko, Masujiro Makita, Futoshi Akiyama, et al.. (2006). Intraductal papilloma with bloody discharge from montgomery’s areolar tubercle examined by ductoscopy from the areola. Breast Cancer. 13(1). 104–106. 4 indexed citations
15.
Tokudome, Nahomi, Hiroshi Sakuma, Seiichiro Nishimura, et al.. (2005). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 14(1). 86–89.
16.
Koizumi, Mitsuru, Yasuhiko Yamada, Masujiro Makita, et al.. (2004). Radioguided sentinel node detection in breast cancer patients: comparison of 99mTc phytate and 99mTc rhenium colloid efficacy. Nuclear Medicine Communications. 25(10). 1031–1037. 20 indexed citations
17.
Nishimura, Seiichiro, Keiichiro Tada, Masujiro Makita, et al.. (2003). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 12(2). 163–168. 2 indexed citations
18.
Nishimura, Seiichiro, Masahiko Tanabe, Nahomi Tokudome, et al.. (2003). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 12(1). 44–49. 1 indexed citations
19.
Takahashi, Kaoru, Seiichiro Nishimura, Kumiko Tanaka, et al.. (2002). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 11(2). 166–171. 2 indexed citations
20.
Makita, Masujiro, Futoshi Akiyama, Naoya Gomi, et al.. (2002). Endoscopic classification of intraductal lesions and histological diagnosis. Breast Cancer. 9(3). 220–225. 25 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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