Mitsuhiro Hayashi

2.0k total citations
74 papers, 1.5k citations indexed

About

Mitsuhiro Hayashi is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mitsuhiro Hayashi has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 18 papers in Molecular Biology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mitsuhiro Hayashi's work include Breast Cancer Treatment Studies (13 papers), HER2/EGFR in Cancer Research (12 papers) and Cancer Treatment and Pharmacology (10 papers). Mitsuhiro Hayashi is often cited by papers focused on Breast Cancer Treatment Studies (13 papers), HER2/EGFR in Cancer Research (12 papers) and Cancer Treatment and Pharmacology (10 papers). Mitsuhiro Hayashi collaborates with scholars based in Japan, United States and United Kingdom. Mitsuhiro Hayashi's co-authors include Hirotaka Iwase, Yutaka Yamamoto, Reiki Nishimura, Yasuhiro Okumura, Nobuyuki Arima, Tomofumi Osako, Tetsunari Oyama, Akinobu Hamada, Aiko Sueta and Satoko Yamamoto and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mitsuhiro Hayashi

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuhiro Hayashi Japan 23 591 472 457 299 187 74 1.5k
Gabi W. van Pelt Netherlands 23 1.1k 1.8× 475 1.0× 733 1.6× 423 1.4× 325 1.7× 42 2.1k
D. F. Hayes United States 13 731 1.2× 745 1.6× 872 1.9× 435 1.5× 283 1.5× 20 1.9k
Donghua Yin United States 24 584 1.0× 361 0.8× 813 1.8× 216 0.7× 582 3.1× 45 2.1k
Arantza Fariña Sarasqueta Netherlands 22 1.0k 1.8× 284 0.6× 437 1.0× 147 0.5× 366 2.0× 83 1.8k
Dustin A. Deming United States 24 1.0k 1.8× 455 1.0× 616 1.3× 114 0.4× 327 1.7× 157 1.8k
Waldemar Wilczak Germany 30 842 1.4× 599 1.3× 1.1k 2.4× 234 0.8× 826 4.4× 93 2.3k
Sheng-Long Ye China 16 498 0.8× 533 1.1× 703 1.5× 122 0.4× 242 1.3× 20 2.1k
Frances Daley United Kingdom 27 759 1.3× 934 2.0× 886 1.9× 528 1.8× 539 2.9× 52 2.3k
Mariëtte Labots Netherlands 17 457 0.8× 329 0.7× 576 1.3× 62 0.2× 296 1.6× 60 1.1k
Marta Guix Spain 17 1.4k 2.4× 599 1.3× 1.1k 2.5× 398 1.3× 714 3.8× 43 2.5k

Countries citing papers authored by Mitsuhiro Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Hayashi. A scholar is included among the top collaborators of Mitsuhiro Hayashi 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 Mitsuhiro Hayashi. Mitsuhiro Hayashi 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.
Narui, Kazutaka, Daishu Miura, Yoshie Hasegawa, et al.. (2022). A Randomized Controlled Phase 2 Study of Neoadjuvant Eribulin Versus Paclitaxel in Women with Operable Breast Cancer: The JONIE-3 Study. Clinical Breast Cancer. 22(8). e881–e891. 2 indexed citations
2.
Kuroda, Hajime, Rin Yamaguchi, Yoshimasa Nakazato, et al.. (2020). Prognostic impact of a tumor-infiltrating lymphocyte subtype in triple negative cancer of the breast. Breast Cancer. 27(5). 880–892. 27 indexed citations
3.
Kuroda, Hajime, et al.. (2020). CD68- and CD163-positive tumor-associated macrophages in triple negative cancer of the breast. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 477(6). 767–775. 66 indexed citations
4.
Watanabe, Junichiro, et al.. (2017). Brain metastasis in patients with metastatic breast cancer in the real world: a single-institution, retrospective review of 12-year follow-up. Breast Cancer Research and Treatment. 162(1). 169–179. 28 indexed citations
5.
Yamamoto, Kaname, et al.. (2017). MALDI mass spectrometry imaging of erlotinib administered in combination with bevacizumab in xenograft mice bearing B901L, EGFR-mutated NSCLC cells. Scientific Reports. 7(1). 16763–16763. 10 indexed citations
6.
Tsubata, Yukari, Mitsuhiro Hayashi, Ryosuke Tanino, et al.. (2017). Evaluation of the heterogeneous tissue distribution of erlotinib in lung cancer using matrix-assisted laser desorption ionization mass spectrometry imaging. Scientific Reports. 7(1). 12622–12622. 22 indexed citations
7.
Yamashita, Makiko, Shigehisa Kitano, Hiroaki Aikawa, et al.. (2016). A novel method for evaluating antibody-dependent cell-mediated cytotoxicity by flowcytometry using cryopreserved human peripheral blood mononuclear cells. Scientific Reports. 6(1). 19772–19772. 49 indexed citations
8.
Aikawa, Hiroaki, et al.. (2016). Visualizing spatial distribution of alectinib in murine brain using quantitative mass spectrometry imaging. Scientific Reports. 6(1). 23749–23749. 36 indexed citations
9.
Sueta, Aiko, Mitsuhiro Hayashi, Hirokazu Shimizu, et al.. (2016). Successful ethinylestradiol therapy for a metastatic breast cancer patient with heavily pre-treated with endocrine therapies. International Cancer Conference Journal. 5(3). 126–130. 4 indexed citations
10.
Hayashi, Mitsuhiro, Yutaka Yamamoto, Aiko Sueta, et al.. (2015). Associations Between Elastography Findings and Clinicopathological Factors in Breast Cancer. Medicine. 94(50). e2290–e2290. 16 indexed citations
11.
Yamamoto‐Ibusuki, Mutsuko, Yutaka Yamamoto, Saori Fujiwara, et al.. (2014). C6ORF97-ESR1 breast cancer susceptibility locus: influence on progression and survival in breast cancer patients. European Journal of Human Genetics. 23(7). 949–956. 23 indexed citations
12.
Nakamura, Takuya, Satoru Shinriki, Hirofumi Jono, et al.. (2014). Osteopontin‐integrin αvβ3 axis is crucial for 5‐fluorouracil resistance in oral squamous cell carcinoma. FEBS Letters. 589(2). 231–239. 15 indexed citations
13.
Sueta, Aiko, Yutaka Yamamoto, Mitsuhiro Hayashi, et al.. (2014). Clinical significance of pretherapeutic Ki67 as a predictive parameter for response to neoadjuvant chemotherapy in breast cancer; is it equally useful across tumor subtypes?. Surgery. 155(5). 927–935. 45 indexed citations
14.
Hayashi, Mitsuhiro, Yutaka Yamamoto, Noboru Takata, & Hirotaka Iwase. (2013). A case of synchronous bilateral breast cancer with different pathological responses to neoadjuvant chemotherapy with different biological character. SpringerPlus. 2(1). 272–272. 3 indexed citations
15.
Hayashi, Mitsuhiro, et al.. (2012). Spatial Dimensions of Expenditure Inequality and the Role of Education in Indonesia : An Analysis of the 2008-2010 Susenas Panel. RePEc: Research Papers in Economics. 2 indexed citations
16.
Nishimura, Reiki, Tomofumi Osako, Yasuhiro Okumura, et al.. (2010). Ki-67 as a prognostic marker according to breast cancer subtype and a predictor of recurrence time in primary breast cancer. Experimental and Therapeutic Medicine. 1(5). 747–754. 133 indexed citations
17.
Hayashi, Mitsuhiro, et al.. (2007). The relationship between FDG uptake in PET scans and biological behavior in breast cancer. Breast Cancer. 14(3). 260–268. 83 indexed citations
18.
Oyama, Tetsunari, et al.. (2007). The effects of fixation, processing and evaluation criteria on immunohistochemical detection of hormone receptors in breast cancer. Breast Cancer. 14(2). 182–188. 60 indexed citations
19.
Hayashi, Mitsuhiro, Goi Sakamoto, Futoshi Akiyama, Fujio Kasumi, & Katsuyoshi Hatakeyama. (2001). Is the UICC pathological node status system useful? comparison with the Japanese Breast Cancer Society pathological node status system. Journal of Surgical Oncology. 76(4). 255–260. 1 indexed citations
20.
Nakazawa, Koichi, et al.. (1998). [Usefulness of the intubating laryngeal mask airway for cases with predicted difficult intubation].. PubMed. 47(9). 1059–63. 2 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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