Masaya Hattori

9.5k total citations
120 papers, 1.7k citations indexed

About

Masaya Hattori is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masaya Hattori has authored 120 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Oncology, 33 papers in Cancer Research and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masaya Hattori's work include Breast Cancer Treatment Studies (28 papers), HER2/EGFR in Cancer Research (27 papers) and Cancer Treatment and Pharmacology (22 papers). Masaya Hattori is often cited by papers focused on Breast Cancer Treatment Studies (28 papers), HER2/EGFR in Cancer Research (27 papers) and Cancer Treatment and Pharmacology (22 papers). Masaya Hattori collaborates with scholars based in Japan, United States and Spain. Masaya Hattori's co-authors include Hiroji Iwata, Arthur S. Schneider, George S. Eisenbarth, Hiroshi Ikegami, Masataka Sawaki, Akiyo Yoshimura, Takashi Namba, Haruru Kotani, Yayoi Adachi and Takio Kurita and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Masaya Hattori

110 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaya Hattori Japan 22 529 373 361 289 233 120 1.7k
Shotaro Naito Japan 24 547 1.0× 370 1.0× 896 2.5× 302 1.0× 456 2.0× 82 2.1k
Ashok Sharma India 24 464 0.9× 303 0.8× 931 2.6× 304 1.1× 168 0.7× 67 2.2k
Wei Wu China 19 279 0.5× 252 0.7× 575 1.6× 224 0.8× 172 0.7× 126 1.6k
Song Lin China 28 338 0.6× 292 0.8× 519 1.4× 364 1.3× 278 1.2× 123 2.2k
Katarzyna Guzińska-Ustymowicz Poland 24 649 1.2× 392 1.1× 725 2.0× 291 1.0× 284 1.2× 118 1.7k
Hongmei Gu China 28 362 0.7× 279 0.7× 964 2.7× 458 1.6× 293 1.3× 96 2.3k
Nikolaos Kavantzas Greece 30 605 1.1× 371 1.0× 1.0k 2.8× 379 1.3× 444 1.9× 183 2.9k
Yoshihisa Umekita Japan 26 1.0k 2.0× 777 2.1× 797 2.2× 289 1.0× 528 2.3× 133 2.7k
Diana Martins Portugal 17 405 0.8× 260 0.7× 434 1.2× 156 0.5× 146 0.6× 57 1.2k
Shinichiro Yamada Japan 27 605 1.1× 401 1.1× 665 1.8× 649 2.2× 277 1.2× 147 2.1k

Countries citing papers authored by Masaya Hattori

Since Specialization
Citations

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

Fields of papers citing papers by Masaya Hattori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaya Hattori

This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Hattori. A scholar is included among the top collaborators of Masaya Hattori 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 Masaya Hattori. Masaya Hattori 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
3.
Zhao, Fangyuan, Minoru Miyashita, Masaya Hattori, et al.. (2023). Racial Disparities in Pathological Complete Response Among Patients Receiving Neoadjuvant Chemotherapy for Early-Stage Breast Cancer. JAMA Network Open. 6(3). e233329–e233329. 19 indexed citations
4.
Yoshimura, Akiyo, Masataka Sawaki, Masaya Hattori, et al.. (2023). Evaluation of the Role of Axillary Lymph Node Fine-Needle Aspiration Cytology in Early Breast Cancer With or Without Neoadjuvant Chemotherapy. Journal of Breast Cancer. 26(2). 117–117. 1 indexed citations
5.
Ozaki, Yuri, Haruru Kotani, Yayoi Adachi, et al.. (2022). Satisfaction survey on a preoperative explanation method using three-dimensional breast imaging for breast cancer patients considering breast-conserving surgery. Surgery Today. 53(4). 476–482. 1 indexed citations
6.
Endo, Yuka, Akiyo Yoshimura, Masataka Sawaki, et al.. (2022). Time to Chemotherapy for Patients With Estrogen Receptor-Positive Breast Cancer and Cyclin-Dependent Kinase 4 and 6 Inhibitor Use. Journal of Breast Cancer. 25(4). 296–296. 3 indexed citations
7.
Hattori, Masaya, Diego Novick, Kana Takaura, et al.. (2021). A systematic literature review of prognostic factors in patients with HR+/HER2− advanced breast cancer in Japan. Japanese Journal of Clinical Oncology. 51(10). 1498–1508. 4 indexed citations
9.
Iwase, Madoka, Masaya Hattori, Masataka Sawaki, et al.. (2019). Presence of small residual malignant lesions in pathologic complete response after neo‐adjuvant chemotherapy in patients with breast cancer. The Breast Journal. 25(6). 1303–1305.
10.
Kondo, Naoto, et al.. (2018). [A Phase I Combination Dose-Escalation Study of Eribulin Mesylate and Gemcitabine in Japanese Patients with Metastatic Breast Cancer].. PubMed. 45(8). 1165–1170. 1 indexed citations
11.
Noguchi, Emi, Kenji Tamura, Masaya Hattori, et al.. (2018). Trastuzumab emtansine plus pertuzumab in Japanese patients with HER2-positive metastatic breast cancer: a phase Ib study. Breast Cancer. 26(1). 39–46. 1 indexed citations
12.
Sawaki, Masataka, Mari Ichikawa, Naoto Kondo, et al.. (2014). Impact of intrinsic subtype on predicting axillary lymph node metastasis in breast cancer. Oncology Letters. 8(4). 1707–1712. 10 indexed citations
13.
Yamamoto, Hiroshi, Masahiko Ando, K. Aogi, et al.. (2014). Phase I and pharmacokinetic study of trastuzumab emtansine in Japanese patients with HER2-positive metastatic breast cancer. Japanese Journal of Clinical Oncology. 45(1). 12–18. 21 indexed citations
14.
Hattori, Masaya, Takashi Fujita, Masataka Sawaki, et al.. (2013). [Clinical efficacy and safety assessment of eribulin monotherapy in patients with metastatic breast cancer - a single- institute experience].. PubMed. 40(6). 737–41. 3 indexed citations
15.
Fujita, Takashi, Hironori Hayashi, Masaya Hattori, et al.. (2011). High recurrence risk and use of adjuvant trastuzumab in patients with small, HER2-positive, node-negative breast cancers. International Journal of Clinical Oncology. 17(2). 131–136. 14 indexed citations
16.
Song, Shao‐Jiang, Suixu Xu, Jincai Lu, Xizhi Feng, & Masaya Hattori. (2000). Three new saponins from the root bark of Aralia elata (Miq.) Seem.. Zhongguo yaowu huaxue zazhi. 10(3). 213–214. 2 indexed citations
17.
He, C, Alan W. Stitt, Liliane J. Striker, Masaya Hattori, & Helen Vlassara. (1996). Low expression of AGE-receptor-1 in NOD mouse mesangial cells: Possible link to diabetic nephropathy.. Journal of the American Society of Nephrology. 7. 123–126. 6 indexed citations
18.
Kelley, V E, Glen N. Gaulton, Masaya Hattori, et al.. (1988). Anti-interleukin 2 receptor antibody suppresses murine diabetic insulitis and lupus nephritis.. The Journal of Immunology. 140(1). 59–61. 105 indexed citations
19.
Kawashima, M., Michiharu Kamiyoshi, Katuhide TANAKA, Masaya Hattori, & Koichi Wakabayashi. (1981). Effect of progesterone on LH-releasing activity of the hypothalamus in non-laying hens primed with oestradiol. Reproduction. 63(2). 567–570. 6 indexed citations
20.
Hattori, Masaya, et al.. (1980). BASIC PROPERTIES OF HIGH STRENGTH RAIL STEELS AND NEW RAIL DEVELOPMENT. 3 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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