Ryusuke Murakami

3.1k total citations · 2 hit papers
78 papers, 2.3k citations indexed

About

Ryusuke Murakami is a scholar working on Reproductive Medicine, Oncology and Obstetrics and Gynecology. According to data from OpenAlex, Ryusuke Murakami has authored 78 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Reproductive Medicine, 27 papers in Oncology and 25 papers in Obstetrics and Gynecology. Recurrent topics in Ryusuke Murakami's work include Ovarian cancer diagnosis and treatment (28 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Ryusuke Murakami is often cited by papers focused on Ovarian cancer diagnosis and treatment (28 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Ryusuke Murakami collaborates with scholars based in Japan, United States and Egypt. Ryusuke Murakami's co-authors include Masaki Mandai, Junzo Hamanishi, Noriomi Matsumura, Ken Yamaguchi, Tsukasa Baba, Kaoru Abiko, Ikuo Konishi, Naoki Horikawa, Yumiko Yoshioka and Mana Taki and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ryusuke Murakami

69 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

IFN-γ from lymphocytes induces PD-L1 expression and promotes progression of ovarian cancer

2015 572 citations Kaoru Abiko, Noriomi Matsumura et al. British Journal of Cancer profile →
Tumor Immune Microenvironment during Epithelial–Mesenchymal Transition

2021 227 citations Mana Taki, Kaoru Abiko et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryusuke Murakami Japan	19	1.2k	952	606	450	393	78	2.3k
Kyle C. Strickland United States	20	957 0.8×	406 0.4×	485 0.8×	491 1.1×	343 0.9×	72	2.2k
Masafumi Koshiyama Japan	24	602 0.5×	400 0.4×	699 1.2×	883 2.0×	266 0.7×	81	2.0k
Juan J. Roman United States	23	728 0.6×	599 0.6×	568 0.9×	214 0.5×	191 0.5×	27	1.8k
Brian M. Nolen United States	21	577 0.5×	282 0.3×	547 0.9×	464 1.0×	364 0.9×	28	1.6k
Antonella Romanini Italy	23	788 0.6×	305 0.3×	436 0.7×	226 0.5×	171 0.4×	73	1.7k
Yuping Sun China	27	1.3k 1.1×	831 0.9×	818 1.3×	78 0.2×	413 1.1×	87	2.4k
S A Cannistra United States	11	644 0.5×	502 0.5×	816 1.3×	1.1k 2.3×	402 1.0×	11	2.4k
Hong Zheng China	13	569 0.5×	505 0.5×	632 1.0×	167 0.4×	179 0.5×	67	1.4k
A.G.J. van der Zee Netherlands	24	528 0.4×	210 0.2×	593 1.0×	434 1.0×	251 0.6×	53	1.6k

Countries citing papers authored by Ryusuke Murakami

Since Specialization

Citations

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

Fields of papers citing papers by Ryusuke Murakami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryusuke Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Ryusuke Murakami. A scholar is included among the top collaborators of Ryusuke Murakami 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 Ryusuke Murakami. Ryusuke Murakami 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

Yamanoi, Koji, Hisanori Matsumoto, Naoki Horikawa, et al.. (2025). Re-evaluating prognostic factors for cervical cancer with lymph node metastasis: a Japanese multicenter cohort study based on FIGO 2018. International Journal of Clinical Oncology. 30(3). 584–592. 3 indexed citations

Hamanishi, Junzo, Akihiko Ueda, Ryusuke Murakami, et al.. (2025). Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer. Cancer Immunology Immunotherapy. 74(3). 84–84. 1 indexed citations

Yamaguchi, Ken, Akihiko Ueda, Mana Taki, et al.. (2024). Electronic patient-reported outcomes as digital therapeutics for patients with cancer: a narrative review of current practices and future directions. International Journal of Clinical Oncology. 30(1). 1–16. 2 indexed citations

Yamaguchi, Ken, Koji Yamanoi, Shiro Takamatsu, et al.. (2024). YAP1 Suppression by ZDHHC7 Is Associated with Ferroptosis Resistance and Poor Prognosis in Ovarian Clear Cell Carcinoma. Molecular Cancer Therapeutics. 23(11). 1652–1665. 7 indexed citations

Murakami, Ryusuke, Akihiko Ueda, Mana Taki, et al.. (2024). A Deep Learning–Based Assessment Pipeline for Intraepithelial and Stromal Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Carcinoma. American Journal Of Pathology. 194(7). 1272–1284. 4 indexed citations

Yamanoi, Koji, Eijiro Nakamura, Shinji Ito, et al.. (2024). A stearate-rich diet and oleate restriction directly inhibit tumor growth via the unfolded protein response. Experimental & Molecular Medicine. 56(12). 2659–2672. 5 indexed citations

Yamaguchi, Ken, Sachiko Tanaka‐Mizuno, Mana Taki, et al.. (2024). Changes in Physical Activity Across Cancer Diagnosis and Treatment Based on Smartphone Step Count Data Linked to a Japanese Claims Database: Retrospective Cohort Study. JMIR Cancer. 11. e58093–e58093. 1 indexed citations

Nishimura, H, Tsukuru Amano, Yutaka Yoneoka, et al.. (2024). Comparison of postoperative adjuvant platinum-based chemotherapy and no further therapy after radical surgery in intermediate-risk early-stage cervical cancer. Journal of Gynecologic Oncology. 36(1). e2–e2.

Watanabe, Koichi, Nobuyuki Kakiuchi, Shiro Takamatsu, et al.. (2023). Abstract 128: Clonal expansion with driver mutations in normal human endometrium. Cancer Research. 83(7_Supplement). 128–128.

10.

Nakai, Hidekatsu, Tomoyuki Otani, Ryusuke Murakami, et al.. (2023). Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging. Journal of Gynecologic Oncology. 34(4). e47–e47. 7 indexed citations

11.

Konishi, Ikuo, Kaoru Abiko, Takuma Hayashi, et al.. (2022). Peritoneal dissemination of high-grade serous ovarian cancer: pivotal roles of chromosomal instability and epigenetic dynamics. Journal of Gynecologic Oncology. 33(5). e83–e83. 10 indexed citations

12.

Horikawa, Naoki, Kaoru Abiko, Noriomi Matsumura, et al.. (2020). Anti-VEGF therapy resistance in ovarian cancer is caused by GM-CSF-induced myeloid-derived suppressor cell recruitment. British Journal of Cancer. 122(6). 778–788. 72 indexed citations

13.

Watanabe, Koichi, Kaoru Abiko, Sachiko Minamiguchi, et al.. (2019). Aggressive adult granulosa cell tumor of the ovary without a FOXL2 mutation: A case report. Journal of obstetrics and gynaecology research. 45(7). 1404–1409. 4 indexed citations

14.

Miyamoto, Taito, Ryusuke Murakami, Kaoru Abiko, et al.. (2019). The efficacy of secondary cytoreductive surgery for recurrent ovarian, tubal, or peritoneal cancer in Tian-model low-risk patients. Journal of Gynecologic Oncology. 30(6). e100–e100. 10 indexed citations

15.

Nakamura, Ayano, Ken Yamaguchi, Sachiko Minamiguchi, et al.. (2018). Mucinous adenocarcinoma, gastric type of the uterine cervix: clinical features and HER2 amplification. Medical Molecular Morphology. 52(1). 52–59. 35 indexed citations

16.

Abiko, Kaoru, et al.. (2017). Case of rapidly progressing condylomatous squamous cell carcinoma of the uterine cervix associated with low‐risk human papillomavirus type 6. Journal of obstetrics and gynaecology research. 44(3). 583–587. 8 indexed citations

17.

Yamaguchi, Ken, Yasuhisa Kurata, Ryusuke Murakami, et al.. (2017). Unenhanced region on magnetic resonance imaging represents tumor progression in uterine carcinosarcoma. Journal of Gynecologic Oncology. 28(5). e62–e62. 4 indexed citations

18.

Kharma, Budiman, Tsukasa Baba, Noriomi Matsumura, et al.. (2014). STAT1 Drives Tumor Progression in Serous Papillary Endometrial Cancer. Cancer Research. 74(22). 6519–6530. 62 indexed citations

19.

Kawasaki, Kaoru, Eiji Kondoh, Yoshitsugu Chigusa, et al.. (2014). Reliable pre-eclampsia pathways based on multiple independent microarray data sets. Molecular Human Reproduction. 21(2). 217–224. 16 indexed citations

20.

Abiko, Kaoru, Masaki Mandai, Junzo Hamanishi, et al.. (2013). PD-L1 on Tumor Cells Is Induced in Ascites and Promotes Peritoneal Dissemination of Ovarian Cancer through CTL Dysfunction. Clinical Cancer Research. 19(6). 1363–1374. 187 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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