Hideaki Ogata

839 total citations
63 papers, 661 citations indexed

About

Hideaki Ogata is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Hideaki Ogata has authored 63 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Oncology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Hideaki Ogata's work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (6 papers) and Cancer and Skin Lesions (6 papers). Hideaki Ogata is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (6 papers) and Cancer and Skin Lesions (6 papers). Hideaki Ogata collaborates with scholars based in Japan and United States. Hideaki Ogata's co-authors include Naomi Nagai, Daniel K. Podolsky, Masafumi Kinoshita, Nao Nagai, Harumi Takahashi, Ho‐Leung Fung, A. Kamiya, Akira Ejima, Mamoru Watanabe and Hijiri Takeuchi and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Hideaki Ogata

59 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Ogata Japan 13 200 164 112 92 77 63 661
Patricia Schroeder United States 18 261 1.3× 153 0.9× 105 0.9× 29 0.3× 59 0.8× 35 867
Sarah Allegra Italy 16 131 0.7× 119 0.7× 48 0.4× 59 0.6× 60 0.8× 59 801
Thomas Papoian United States 14 428 2.1× 108 0.7× 44 0.4× 55 0.6× 49 0.6× 20 954
Nadia Z. Mikhael Canada 14 155 0.8× 184 1.1× 166 1.5× 44 0.5× 102 1.3× 28 781
Joseph L. Skibba United States 21 298 1.5× 165 1.0× 98 0.9× 125 1.4× 75 1.0× 34 892
Patrizia Bonelli Italy 16 517 2.6× 158 1.0× 114 1.0× 65 0.7× 67 0.9× 54 1.0k
J. H. Beijnen Netherlands 17 320 1.6× 295 1.8× 43 0.4× 37 0.4× 40 0.5× 40 797
Salah‐Dine Chibout Switzerland 18 352 1.8× 138 0.8× 64 0.6× 106 1.2× 52 0.7× 40 1.1k
Satoshi Tanaka Japan 19 548 2.7× 127 0.8× 57 0.5× 104 1.1× 60 0.8× 61 1.3k

Countries citing papers authored by Hideaki Ogata

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Ogata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Ogata

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Ogata. A scholar is included among the top collaborators of Hideaki Ogata 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 Hideaki Ogata. Hideaki Ogata 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.
Honma, Naoko, Hideaki Ogata, Akimitsu Yamada, et al.. (2024). Clinicopathological importance of Bcl‐2 and p53 in postmenopausal triple‐negative breast carcinoma and association with age. Pathology International. 74(10). 574–582.
2.
Wakayama, Megumi, et al.. (2021). Immunohistochemical Analysis of Toll-Like Receptors, MyD88, and TRIF in Human Papillary Thyroid Carcinoma and Anaplastic Thyroid Carcinoma. Journal of Thyroid Research. 2021. 1–12. 3 indexed citations
3.
Ichinoe, Masaaki, Tetuo Mikami, Nobuyuki Yanagisawa, et al.. (2020). Prognostic values of L-type amino acid transporter 1 and CD98hc expression in breast cancer. Journal of Clinical Pathology. 74(9). 589–595. 12 indexed citations
4.
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
5.
Ogata, Hideaki, Naoko Honma, Miho Yoshida, et al.. (2018). Sonographic visualization of nipple blood flow can help differentiate Paget disease from benign eczematous nipple lesions. PLoS ONE. 13(5). e0197156–e0197156. 5 indexed citations
6.
Ogata, Hideaki, et al.. (2017). Presence of Autoantibodies against Ras-like GTPases in Serum in Stage I/II Breast Cancer. 3(4). 125–130. 4 indexed citations
7.
Saito, Fumi, et al.. (2017). Streptococcal toxic-shock syndrome due to Streptococcus dysgalactiae subspecies equisimilis in breast cancer-related lymphedema: a case report. Journal of Medical Case Reports. 11(1). 191–191. 5 indexed citations
8.
Shimada, Hideaki, et al.. (2016). Serum p53 Antibody is a Useful Biomarker for Long-Term Monitoring of Breast Cancer : Report of a Recurrent Case After Surgery. 2(1). 22–25. 1 indexed citations
9.
Ogata, Hideaki, Yoshihiro Kikuchi, Kazuhiko Natori, et al.. (2015). Liver Metastasis of a Triple-Negative Breast Cancer and Complete Remission for 5 Years After Treatment With Combined Bevacizumab/Paclitaxel/Carboplatin. Medicine. 94(42). e1756–e1756. 8 indexed citations
10.
Ogata, Hideaki, Kenichi Maruyama, Fumi Saito, et al.. (2013). Contrast-enhanced ultrasound findings with Sonazoid for evaluation of neoadjuvant chemotherapy for breast cancer. Choonpa Igaku. 40(2). 167–174. 3 indexed citations
11.
Ogata, Hideaki, et al.. (2012). [Remarkable improvement in a patient with metastatic and locally advanced HER2-positive breast cancer treated with trastuzumab plus vinorelbine].. PubMed. 39(3). 445–9. 1 indexed citations
12.
13.
Kobayashi, Kensuke, Hideaki Ogata, Masaaki Morikawa, et al.. (2002). Distribution and partial characterisation of IgG Fc binding protein in various mucin producing cells and body fluids. Gut. 51(2). 169–176. 87 indexed citations
14.
Nagai, Nao, et al.. (1998). Improved high-performance liquid chromatographic analysis of teniposide in human plasma. Journal of Chromatography B Biomedical Sciences and Applications. 709(2). 315–319. 6 indexed citations
15.
16.
Takahashi, Harumi, et al.. (1993). Dosing rate-dependent relationship between propranolol plasma concentration and beta-blockade.. Journal of Pharmacology and Experimental Therapeutics. 265(2). 681–689. 5 indexed citations
17.
Umezu, Yuichi, et al.. (1992). Histochemical and Immunological Analyses of Differentiating Skeletal Muscle Fibers of the Postnatal Rat. Cells Tissues Organs. 143(1). 1–6. 9 indexed citations
18.
Takahashi, Harumi, et al.. (1990). Plasma protein binding of propranolol enantiomers as a major determinant of their stereoselective tissue distribution in rats.. Journal of Pharmacology and Experimental Therapeutics. 252(1). 272–278. 28 indexed citations
19.
Murakami, Manabu, Yukio Koizumi, T Aizawa, et al.. (1988). Improvement of Immunologic Abnormalities Associated with Hyperthyroidism of Graves' Disease during Methimazole Treatment. Hormone and Metabolic Research. 20(4). 235–238. 2 indexed citations
20.
Ogata, Hideaki. (1986). Correlations of essential amino acid patterns between the dietary protein and the blood, hepatopancreas, or skeletal muscle in carp [Cyprinus carpio]. Bulletin of the Japanese Society of Scientific Fisheries. 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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