Hideko Yamauchi

4.7k total citations
144 papers, 2.9k citations indexed

About

Hideko Yamauchi is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Hideko Yamauchi has authored 144 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Oncology, 57 papers in Cancer Research and 37 papers in Pathology and Forensic Medicine. Recurrent topics in Hideko Yamauchi's work include Breast Cancer Treatment Studies (53 papers), Breast Lesions and Carcinomas (35 papers) and HER2/EGFR in Cancer Research (25 papers). Hideko Yamauchi is often cited by papers focused on Breast Cancer Treatment Studies (53 papers), Breast Lesions and Carcinomas (35 papers) and HER2/EGFR in Cancer Research (25 papers). Hideko Yamauchi collaborates with scholars based in Japan, United States and United Kingdom. Hideko Yamauchi's co-authors include Daniel F. Hayes, Vered Stearns, Seigo Nakamura, Naoki Hayashi, Hiroshi Yagata, Koyu Suzuki, Naoto T. Ueno, Atsushi Yoshida, Hiroko Tsunoda and Savitri Krishnamurthy and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Hideko Yamauchi

141 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideko Yamauchi Japan 26 1.5k 1.1k 558 528 505 144 2.9k
Florian Fitzal Austria 32 1.5k 1.0× 1.4k 1.3× 361 0.6× 570 1.1× 412 0.8× 148 3.0k
Silvana Martino Italy 31 1.6k 1.1× 1.2k 1.1× 781 1.4× 712 1.3× 443 0.9× 72 4.6k
Stefania Gori Italy 30 2.0k 1.4× 694 0.6× 680 1.2× 299 0.6× 389 0.8× 180 3.5k
Luís Teixeira France 28 1.1k 0.7× 451 0.4× 604 1.1× 526 1.0× 336 0.7× 93 3.3k
Kadri Altundağ Türkiye 30 2.5k 1.7× 748 0.7× 717 1.3× 339 0.6× 361 0.7× 251 3.9k
Anne O’Neill United States 30 1.8k 1.2× 979 0.9× 505 0.9× 225 0.4× 211 0.4× 89 3.5k
Gregory D. Ayers United States 30 1.2k 0.8× 441 0.4× 674 1.2× 695 1.3× 394 0.8× 88 3.8k
Jungnam Joo South Korea 35 1.2k 0.8× 539 0.5× 698 1.3× 584 1.1× 234 0.5× 188 4.0k
Gary N. Schwartz United States 29 1.3k 0.8× 1.2k 1.1× 944 1.7× 470 0.9× 283 0.6× 89 3.7k
Larissa A. Korde United States 27 1.7k 1.2× 1.0k 1.0× 764 1.4× 681 1.3× 378 0.7× 81 3.7k

Countries citing papers authored by Hideko Yamauchi

Since Specialization
Citations

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

Fields of papers citing papers by Hideko Yamauchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideko Yamauchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideko Yamauchi. A scholar is included among the top collaborators of Hideko Yamauchi 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 Hideko Yamauchi. Hideko Yamauchi 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.
2.
Yamauchi, Hideko, et al.. (2023). Physical Activity and Mammographic Density in Japanese Women. Cancer Epidemiology Biomarkers & Prevention. 33(3). 365–370. 2 indexed citations
3.
Tanabe, Masahiko, et al.. (2023). Post-traumatic growth and cancer-related communication among adolescents having mothers with breast cancer. Supportive Care in Cancer. 31(7). 446–446. 1 indexed citations
4.
Kanomata, Naoki, et al.. (2023). Clinicopathological and ultrasound characteristics of breast cancer in BRCA1 and BRCA2 mutation carriers. Journal of Medical Ultrasonics. 50(2). 213–220. 1 indexed citations
5.
Yamauchi, Hideko, Masakazu Toi, Shin Takayama, et al.. (2023). Adjuvant olaparib in the subset of patients from Japan with BRCA1- or BRCA2-mutated high-risk early breast cancer from the phase 3 OlympiA trial. Breast Cancer. 30(4). 596–605. 5 indexed citations
6.
Sugishita, Yodo, Manabu Futamura, Tatsuro Furui, et al.. (2023). Oncofertility‐related psycho‐educational therapy for young adult patients with breast cancer and their partners: Randomized controlled trial. Cancer. 129(16). 2568–2580. 8 indexed citations
7.
Yoshida, Atsushi, Osamu Takahashi, Junko Takei, et al.. (2023). Prognostic effect of subsequent childbirth after the diagnosis of breast cancer using propensity score matching analysis. Breast Cancer. 30(3). 354–363. 1 indexed citations
8.
9.
Ikegami, Masachika, Shinji Kohsaka, Takeshi Hirose, et al.. (2021). MicroSEC filters sequence errors for formalin-fixed and paraffin-embedded samples. Communications Biology. 4(1). 1396–1396. 5 indexed citations
10.
Bianchini, Giampaolo, Michiko Ando, Daiki Kobayashi, et al.. (2019). Predictive and prognostic value of stromal tumour-infiltrating lymphocytes before and after neoadjuvant therapy in triple negative and HER2-positive breast cancer. European Journal of Cancer. 118. 41–48. 59 indexed citations
11.
Tsunoda, Hiroko, Hiroshi Yagata, Naoki Hayashi, et al.. (2017). Discrepancies Between Pathological Tumor Responses and Estimations of Complete Response by Magnetic Resonance Imaging After Neoadjuvant Chemotherapy Differ by Breast Cancer Subtype. Clinical Breast Cancer. 18(2). 128–134. 16 indexed citations
12.
Iwase, Madoka, et al.. (2016). Overcalling low-risk findings: grouped amorphous calcifications found at screening mammography associated with minimal cancer risk. Breast Cancer. 24(4). 579–584. 10 indexed citations
13.
Kitano, Atsuko, Hideko Yamauchi, Takashi Hosaka, et al.. (2015). Psychological impact of breast cancer screening in Japan. International Journal of Clinical Oncology. 20(6). 1110–1116. 13 indexed citations
14.
Kawasaki, Tomonori, Kunio Mochizuki, Hideko Yamauchi, et al.. (2012). Neuroendocrine cells associated with neuroendocrine carcinoma of the breast: nature and significance. Journal of Clinical Pathology. 65(8). 699–703. 12 indexed citations
15.
Hayashi, Naoki, Naoki Niikura, Hideko Yamauchi, Seigo Nakamura, & Naoto T. Ueno. (2012). Adding hormonal therapy to chemotherapy and trastuzumab improves prognosis in patients with hormone receptor-positive and human epidermal growth factor receptor 2-positive primary breast cancer. Breast Cancer Research and Treatment. 137(2). 523–531. 25 indexed citations
16.
Robertson, Fredika M., Melissa L. Bondy, Wei Yang, et al.. (2010). Inflammatory Breast Cancer: The Disease, the Biology, the Treatment. CA A Cancer Journal for Clinicians. 60(6). 351–375. 257 indexed citations
17.
Takanishi, Danny, et al.. (2008). Peripheral Blood Hematocrit in Critically Ill Surgical Patients: An Imprecise Surrogate of True Red Blood Cell Volume. Anesthesia & Analgesia. 106(6). 1808–1812. 12 indexed citations
18.
Hayes, Daniel F., Hideko Yamauchi, Gloria Broadwater, et al.. (2001). Circulating HER-2/erbB-2/c-neu (HER-2) extracellular domain as a prognostic factor in patients with metastatic breast cancer: Cancer and Leukemia Group B Study 8662.. PubMed. 7(9). 2703–11. 75 indexed citations
19.
Yamauchi, Hideko, Vered Stearns, & Daniel F. Hayes. (2001). The role of c-erbB-2 as a predictive factor in breast cancer. Breast Cancer. 8(3). 171–183. 23 indexed citations
20.

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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