Maya Suzuki

559 total citations
35 papers, 359 citations indexed

About

Maya Suzuki is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Maya Suzuki has authored 35 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Neurology. Recurrent topics in Maya Suzuki's work include Neuroblastoma Research and Treatments (6 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Maya Suzuki is often cited by papers focused on Neuroblastoma Research and Treatments (6 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Maya Suzuki collaborates with scholars based in Japan, United States and Netherlands. Maya Suzuki's co-authors include Nai‐Kong V. Cheung, Tomohiro Funakoshi, Hyman B. Muss, Tomohiro F. Nishijima, Suzanne L. Wolden, Kazuo Tamura, Hideki Origasa, Sadao Suzuki, Akihiro Yagi and Tatsuya Isomura and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Maya Suzuki

32 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Suzuki Japan 9 149 106 97 54 42 35 359
Holly Lindsay United States 11 55 0.4× 127 1.2× 46 0.5× 17 0.3× 58 1.4× 38 319
Xing Su China 13 41 0.3× 144 1.4× 36 0.4× 40 0.7× 41 1.0× 43 490
Laura Tudisco Italy 13 42 0.3× 134 1.3× 38 0.4× 47 0.9× 41 1.0× 18 331
Andrew Becker United States 9 199 1.3× 165 1.6× 21 0.2× 33 0.6× 109 2.6× 24 430
Sun Mi Kim South Korea 11 192 1.3× 211 2.0× 50 0.5× 28 0.5× 73 1.7× 22 521
Roshan Karki United States 10 84 0.6× 174 1.6× 17 0.2× 40 0.7× 40 1.0× 23 505
Wenyu Liu China 10 73 0.5× 110 1.0× 15 0.2× 30 0.6× 38 0.9× 37 310
Yue Qiu China 14 74 0.5× 175 1.7× 22 0.2× 145 2.7× 41 1.0× 32 511

Countries citing papers authored by Maya Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Maya Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Suzuki. A scholar is included among the top collaborators of Maya Suzuki 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 Maya Suzuki. Maya Suzuki 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.
Velds, Arno, Maya Suzuki, Shinichiro Akichika, et al.. (2025). Exploiting nanopore sequencing advances for tRNA sequencing of human cancer models. NAR Cancer. 7(4). zcaf044–zcaf044.
2.
Yamamoto, Shunsuke, Masafumi Sanefuji, Hirosuke Inoue, et al.. (2025). Parental occupational exposure to anticancer drugs and radiation: Risk of fetal loss and physical abnormalities in The Japan Environment and Children's Study. Early Human Development. 201. 106195–106195. 1 indexed citations
3.
4.
Yamamoto, Shunsuke, Masafumi Sanefuji, Maya Suzuki, et al.. (2023). Pediatric leukemia and maternal occupational exposure to anticancer drugs: the Japan Environment and Children’s Study. Blood. 143(4). 311–319. 4 indexed citations
5.
6.
Kawasaki, Yohei, et al.. (2023). CD98 EXPRESSION CAN BE A PREDICTIVE FACTOR OF RESISTANCE TO RADIOTHERAPY IN HEAD AND NECKSQUAMOUS CELL CARCINOMA. Polish Journal of Pathology. 74(2). 122–130. 1 indexed citations
7.
Suzuki, Maya, Satoshi Sakai, Yuki Bando, et al.. (2023). CCIVR2 facilitates comprehensive identification of both overlapping and non-overlapping antisense transcripts within specified regions. Scientific Reports. 13(1). 14807–14807. 1 indexed citations
8.
Ohhata, Tatsuya, Maya Suzuki, Satoshi Sakai, et al.. (2022). CCIVR facilitates comprehensive identification of cis-natural antisense transcripts with their structural characteristics and expression profiles. Scientific Reports. 12(1). 15525–15525. 4 indexed citations
9.
Kawasaki, Yohei, et al.. (2022). GPNMB-Positive Cells in Head and Neck Squamous Cell Carcinoma—Their Roles in Cancer Stemness, Therapy Resistance, and Metastasis. Pathology & Oncology Research. 28. 1610450–1610450. 8 indexed citations
10.
Suzuki, Maya, Masashi Ogawa, Wataru Shibata, et al.. (2022). First report of Mycobacterium virginiense-induced synovitis and tenosynovitis of flexor digitorum superficialis and profundus muscles in Japan. Journal of Infection and Chemotherapy. 29(4). 410–413. 2 indexed citations
11.
Arima, Mitsuru, Hirosuke Inoue, Shintaro Nakao, et al.. (2021). Study protocol for a multicentre, open-label, single-arm phase I/II trial to evaluate the safety and efficacy of ripasudil 0.4% eye drops for retinopathy of prematurity. BMJ Open. 11(7). e047003–e047003. 2 indexed citations
12.
Takeda, Masahide, Kazuhiro Sato, S. Sakamoto, et al.. (2019). An autopsy case of anaplastic lymphoma kinase-positive lung cancer exacerbated in a short period of time: a case report. Journal of Medical Case Reports. 13(1). 118–118. 1 indexed citations
13.
Friedman, Danielle Novetsky, Patrick Hilden, Chaya S. Moskowitz, et al.. (2016). Cardiovascular Risk Factors in Survivors of Childhood Hematopoietic Cell Transplantation Treated with Total Body Irradiation: A Longitudinal Analysis. Biology of Blood and Marrow Transplantation. 23(3). 475–482. 29 indexed citations
14.
Nishijima, Tomohiro F., Maya Suzuki, & Hyman B. Muss. (2016). A comparison of toxicity profiles between the lower and standard dose capecitabine in breast cancer: a systematic review and meta-analysis. Breast Cancer Research and Treatment. 156(2). 227–236. 20 indexed citations
15.
Isomura, Tatsuya, Sadao Suzuki, Hideki Origasa, et al.. (2016). Liver-related safety assessment of green tea extracts in humans: a systematic review of randomized controlled trials. European Journal of Clinical Nutrition. 70(11). 1221–1229. 38 indexed citations
16.
Suzuki, Maya, Kevin J. Curran, & Nai‐Kong V. Cheung. (2015). Chimeric antigen receptors and bispecific antibodies to retarget T cells in pediatric oncology. Pediatric Blood & Cancer. 62(8). 1326–1336. 9 indexed citations
17.
Suzuki, Maya & Nai‐Kong V. Cheung. (2015). Disialoganglioside GD2 as a therapeutic target for human diseases. Expert Opinion on Therapeutic Targets. 19(3). 349–362. 124 indexed citations
18.
Funakoshi, Tomohiro, Maya Suzuki, & Kazuo Tamura. (2014). Infectious complications in cancer patients treated with anti-EGFR monoclonal antibodies cetuximab and panitumumab: A systematic review and meta-analysis. Cancer Treatment Reviews. 40(10). 1221–1229. 19 indexed citations
19.
Funakoshi, Tomohiro, Maya Suzuki, & Hyman B. Muss. (2014). Infection risk in breast cancer patients treated with trastuzumab: a systematic review and meta-analysis. Breast Cancer Research and Treatment. 149(2). 321–330. 10 indexed citations
20.
Sakai, Hiromi, et al.. (2001). [Anesthetic management of a child with Klippel-Feil syndrome associated with severe scoliosis].. PubMed. 50(6). 645–7. 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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