Mai Yamada

898 total citations
47 papers, 688 citations indexed

About

Mai Yamada is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, Mai Yamada has authored 47 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Mai Yamada's work include Cancer Genomics and Diagnostics (7 papers), Breast Cancer Treatment Studies (7 papers) and BRCA gene mutations in cancer (6 papers). Mai Yamada is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Breast Cancer Treatment Studies (7 papers) and BRCA gene mutations in cancer (6 papers). Mai Yamada collaborates with scholars based in Japan, Ireland and Philippines. Mai Yamada's co-authors include Makoto Kubo, Masaya Kai, Naoki Sadamori, Sadako Nakamura, Mariko Nakamura, Tsuneyuki Oku, Yoshinao Oda, Hitomi Mori, Kentaro Murakami and Satoshi Sasaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Mai Yamada

42 papers receiving 660 citations

Peers

Mai Yamada

ONCOL

IMMUN

Adrien Rossary France

Vladimír Semecký Czechia

İlhan Onaran Türkiye

Majid Ghayour‐Mobarhan Iran

Alexandra C. Budinsky Austria

Ursula White United States

Ilangovan Ramachandran India

Fen Zhou China

Afshan Siddiq Pakistan

Vijay Kumar Singh India

Adrien Rossary France

Mai Yamada

192 ×0.9

ONCOL

311 ×2.1

202 ×1.5

IMMUN

174 ×1.5

121 ×1.2

Citations per year, relative to Mai Yamada Mai Yamada (= 1×) peers Adrien Rossary

Countries citing papers authored by Mai Yamada

Since Specialization

Citations

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

Fields of papers citing papers by Mai Yamada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Yamada. A scholar is included among the top collaborators of Mai Yamada 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 Mai Yamada. Mai Yamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tabata, Miyuki, et al.. (2024). Influence of surface roughness on the response time of iridium oxide pH sensors. Sensors and Actuators B Chemical. 422. 136647–136647. 3 indexed citations

Sakai, Kazuko, Takafumi Morisaki, Mai Yamada, et al.. (2024). TP53 and/or BRCA1 Mutations Based on CtDNA Analysis as Prognostic Biomarkers for Primary Triple-Negative Breast Cancer. Cancers. 16(6). 1184–1184. 9 indexed citations

Watanabe, Yusuke, Takafumi Morisaki, Mai Yamada, et al.. (2024). Beckwith–Wiedemann syndrome with juvenile fibrous nodules and lobular breast tumors: a case report and review of the literature. SHILAP Revista de lepidopterología. 10(1). 69–69.

Kai, Masaya, Mai Yamada, Tomofumi Osako, et al.. (2023). Granzyme B Expression in the Tumor Microenvironment as a Prognostic Biomarker for Patients with Triple-Negative Breast Cancer. Cancers. 15(18). 4456–4456. 9 indexed citations

Kai, Masaya, Makoto Kubo, Takafumi Morisaki, et al.. (2022). A novel germline mutation of TP53 with breast cancer diagnosed as Li–Fraumeni syndrome. SHILAP Revista de lepidopterología. 8(1). 197–197.

Kubo, Makoto, et al.. (2022). CCND1 Copy Number Variation in Circulating Tumor DNA from Luminal B Breast Cancer Patients. Anticancer Research. 42(8). 4071–4077. 8 indexed citations

Kubo, Makoto, et al.. (2022). Genetic medicine is accelerating in Japan. Breast Cancer. 29(4). 659–665. 7 indexed citations

Kubo, Makoto, Masahiko Taniguchi, Mai Yamada, et al.. (2021). Current Status and Problems of Breast Cancer Treatment with Schizophrenia. Clinical Breast Cancer. 22(4). e399–e406. 11 indexed citations

Kubo, Makoto, Masaya Kai, Hitomi Mori, et al.. (2020). Microsatellite instability in Japanese female patients with triple-negative breast cancer. Breast Cancer. 27(3). 490–498. 18 indexed citations

10.

Mori, Hitomi, Makoto Kubo, Masaya Kai, et al.. (2019). T-bet+ lymphocytes infiltration as an independent better prognostic indicator for triple-negative breast cancer. Breast Cancer Research and Treatment. 176(3). 569–577. 23 indexed citations

11.

Mori, Hitomi, et al.. (2018). Efficacy and Safety of Bi-weekly Pegfilgrastim for Dose-dense Chemotherapy-induced Neutropenia in Breast Cancer Patients. Anticancer Research. 38(7). 4381–4386. 2 indexed citations

12.

Mori, Hitomi, Makoto Kubo, Masaya Kai, et al.. (2018). BRCAness Combined With a Family History of Cancer Is Associated With a Poor Prognosis for Breast Cancer Patients With a High Risk of BRCA Mutations. Clinical Breast Cancer. 18(5). e1217–e1227. 8 indexed citations

13.

Yamada, Mai, Tamihiro Kawakami, Kohei Takashima, et al.. (2017). P1_183 Establishment of Anti-rat phosphatidylserine/prothrombin monoclonal antibodies and a Thrombotic rat model induced by Intravenous injection of the Antibody. Lara D. Veeken. 56(suppl_3). iii102–iii103. 5 indexed citations

14.

Yamada, Mai, et al.. (2017). Pure Amorphagnosia without Tactile Object Agnosia. Case Reports in Neurology. 9(1). 62–68. 5 indexed citations

15.

Yamada, Mai, Tamihiro Kawakami, Kohei Takashima, et al.. (2016). Establishment of a rat model of thrombosis induced by intravenous injection of anti-phosphatidylserine–prothrombin complex antibody. Lara D. Veeken. 56(6). kew477–kew477. 7 indexed citations

16.

Miyoshi, Arina, Mai Yamada, Haruki Shida, et al.. (2016). Circulating Neutrophil Extracellular Trap Levels in Well-Controlled Type 2 Diabetes and Pathway Involved in Their Formation Induced by High-Dose Glucose. Pathobiology. 83(5). 243–251. 46 indexed citations

17.

Yamashita, Toshinari, Takashi Fujita, Hironori Hayashi, et al.. (2011). Detection of parasternal metastatic lymph nodes by sentinel lymph node methods in a patient with recurrence in the conserved breast. Breast Cancer. 21(2). 246–248. 5 indexed citations

18.

Yamada, Mai, Satoshi Sasaki, Kentaro Murakami, et al.. (2010). Estimation of Trans Fatty Acid Intake in Japanese Adults Using 16-Day Diet Records Based on a Food Composition Database Developed for the Japanese Population. Journal of Epidemiology. 20(2). 119–127. 26 indexed citations

19.

Yamada, Mai, Satoshi Sasaki, Kentaro Murakami, et al.. (2009). Estimation of caffeine intake in Japanese adults using 16 d weighed diet records based on a food composition database newly developed for Japanese populations. Public Health Nutrition. 13(5). 663–672. 40 indexed citations

20.

Yamada, Mai, Kentaro Murakami, Satoshi Sasaki, Yoshiko Takahashi, & Hitomi Okubo. (2008). Soft Drink Intake Is Associated with Diet Quality Even among Young Japanese Women with Low Soft Drink Intake. Journal of the American Dietetic Association. 108(12). 1997–2004. 34 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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