Mayu Koiwa

924 total citations
3 papers, 75 citations indexed

About

Mayu Koiwa is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Mayu Koiwa has authored 3 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Cancer Research and 1 paper in Molecular Biology. Recurrent topics in Mayu Koiwa's work include Cancer Cells and Metastasis (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). Mayu Koiwa is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). Mayu Koiwa collaborates with scholars based in Japan. Mayu Koiwa's co-authors include Takatsugu Ishimoto, Hideo Baba, Takahiko Akiyama, Tadahito Yasuda, Luke Bu, Tomoyuki Uchihara, Lingfeng Fu, Atsuko Yonemura, Yo‐ichi Yamashita and Daisuke Hashimoto and has published in prestigious journals such as Oncogene, Biomedicines and STAR Protocols.

In The Last Decade

Mayu Koiwa

3 papers receiving 75 citations

Peers

Mayu Koiwa
Atsuko Yonemura Japan
Timothy Hagan United States
S. Lindsey Davis United States
Julieta Grasselli Spain
Eric Bernstein United States
P. Hill Australia
Lingfei Wan China
Yingnan Yu Singapore
Natalie J. Kurganovs Australia
Troy Bloom United States
Atsuko Yonemura Japan
Mayu Koiwa
Citations per year, relative to Mayu Koiwa Mayu Koiwa (= 1×) peers Atsuko Yonemura

Countries citing papers authored by Mayu Koiwa

Since Specialization
Citations

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

Fields of papers citing papers by Mayu Koiwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayu Koiwa

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

All Works

3 of 3 papers shown
1.
Yasuda, Tadahito, Mayu Koiwa, Atsuko Yonemura, et al.. (2021). Protocol to establish cancer-associated fibroblasts from surgically resected tissues and generate senescent fibroblasts. STAR Protocols. 2(2). 100553–100553. 17 indexed citations
2.
Fu, Lingfeng, Luke Bu, Tadahito Yasuda, et al.. (2020). Gastric Cancer Stem Cells: Current Insights into the Immune Microenvironment and Therapeutic Targets. Biomedicines. 8(1). 7–7. 37 indexed citations
3.
Arima, Kota, Masaki Ohmuraya, Keisuke Miyake, et al.. (2018). Inhibition of 15-PGDH causes Kras-driven tumor expansion through prostaglandin E2-ALDH1 signaling in the pancreas. Oncogene. 38(8). 1211–1224. 21 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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2026