Hiroaki Kajiyama

13.8k total citations · 1 hit paper
423 papers, 10.3k citations indexed

About

Hiroaki Kajiyama is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Hiroaki Kajiyama has authored 423 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Reproductive Medicine, 122 papers in Obstetrics and Gynecology and 95 papers in Oncology. Recurrent topics in Hiroaki Kajiyama's work include Ovarian cancer diagnosis and treatment (126 papers), Endometrial and Cervical Cancer Treatments (77 papers) and Plasma Applications and Diagnostics (42 papers). Hiroaki Kajiyama is often cited by papers focused on Ovarian cancer diagnosis and treatment (126 papers), Endometrial and Cervical Cancer Treatments (77 papers) and Plasma Applications and Diagnostics (42 papers). Hiroaki Kajiyama collaborates with scholars based in Japan, Sweden and Australia. Hiroaki Kajiyama's co-authors include Fumitaka Kikkawa, Kiyosumi Shibata, Kazuhiko Ino, Hiromasa Tanaka, Masaru Hori, Kae Nakamura, Akihiro Nawa, Masaaki Mizuno, Mikio Terauchi and Shigehiko Mizutani and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Hiroaki Kajiyama

407 papers receiving 10.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Fusobacterium infection facilitates the development of endometriosis through the phenotypic transition of endometrial fibroblasts

2023 97 citations Ayako Muraoka, Miho Suzuki et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroaki Kajiyama Japan	50	3.2k	2.4k	2.4k	2.1k	1.4k	423	10.3k
Fumitaka Kikkawa Japan	60	4.5k 1.4×	2.4k 1.0×	3.1k 1.3×	4.1k 2.0×	1.8k 1.3×	552	15.4k
Gordon C. Jayson United Kingdom	56	4.7k 1.5×	2.5k 1.0×	4.1k 1.7×	4.1k 2.0×	2.1k 1.5×	257	14.0k
Kim Pettersson Finland	58	3.4k 1.1×	1.2k 0.5×	956 0.4×	1.3k 0.6×	905 0.6×	291	10.9k
Ulf‐Håkan Stenman Finland	70	5.5k 1.7×	915 0.4×	4.1k 1.7×	2.6k 1.3×	2.4k 1.7×	608	20.1k
Daniel W. Chan United States	50	4.1k 1.3×	614 0.3×	1.1k 0.5×	502 0.2×	1.4k 1.0×	161	9.4k
Tzu‐Chen Yen Taiwan	66	2.8k 0.9×	3.7k 1.5×	2.4k 1.0×	705 0.3×	1.0k 0.7×	348	14.3k
Kenji Tamura Japan	51	3.5k 1.1×	1.7k 0.7×	6.5k 2.7×	349 0.2×	2.5k 1.8×	387	11.9k
Janice A. Nagy United States	59	7.9k 2.5×	1.5k 0.6×	3.0k 1.2×	499 0.2×	3.0k 2.1×	132	14.5k
Sunghoon Kim South Korea	47	2.8k 0.9×	443 0.2×	2.0k 0.8×	1.8k 0.8×	1.9k 1.4×	405	9.0k
Michael Höckel Germany	48	4.0k 1.2×	2.0k 0.8×	2.6k 1.1×	747 0.4×	5.7k 4.1×	189	12.8k

Countries citing papers authored by Hiroaki Kajiyama

Since Specialization

Citations

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

Fields of papers citing papers by Hiroaki Kajiyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Kajiyama

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

Yoshida, Kosuke, Akira Yokoi, Masato Yoshihara, et al.. (2025). Exploring drug resistance via intercellular crosstalk using spatial transcriptomics in high-grade serous ovarian carcinoma. npj Precision Oncology. 9(1). 345–345.

Uno, Kaname, Yoshihiro Koya, Masato Yoshihara, et al.. (2024). Chondroitin Sulfate Proteoglycan 4 Provides New Treatment Approach to Preventing Peritoneal Dissemination in Ovarian Cancer. International Journal of Molecular Sciences. 25(3). 1626–1626. 3 indexed citations

Yang, Peng, Miho Suzuki, Keiko Shinjo, et al.. (2024). Long noncoding RNATUG1 promotes cisplatin resistance in ovarian cancer via upregulation of DNA polymerase eta. Cancer Science. 115(6). 1910–1923. 6 indexed citations

Yokoi, Akira, Eri Watanabe, Kosuke Yoshida, et al.. (2024). Real‐world data of poly (ADP‐ribose) polymerase inhibitor response in Japanese patients with ovarian cancer. Cancer Medicine. 13(7). e7149–e7149. 1 indexed citations

Yokoi, Akira, Kaname Uno, Kosuke Yoshida, et al.. (2023). Small Extracellular Vesicles from adipose-derived stem cells suppress cell proliferation by delivering the let-7 family of microRNAs in ovarian cancer. Biochemical and Biophysical Research Communications. 680. 211–219. 6 indexed citations

Muraoka, Ayako, Miho Suzuki, Tomonari Hamaguchi, et al.. (2023). Fusobacterium infection facilitates the development of endometriosis through the phenotypic transition of endometrial fibroblasts. Science Translational Medicine. 15(700). eadd1531–eadd1531. 97 indexed citations breakdown →

Ukai, Mayu, Shiro Suzuki, Masato Yoshihara, et al.. (2021). Adjuvant taxane plus platinum chemotherapy for stage I ovarian clear cell carcinoma with complete surgical staging: are more than three cycles necessary?. International Journal of Clinical Oncology. 27(3). 609–618. 2 indexed citations

Kajiyama, Hiroaki, Shiro Suzuki, Nobuhisa Yoshikawa, et al.. (2020). The impact of systematic retroperitoneal lymphadenectomy on long-term oncologic outcome of women with advanced ovarian clear-cell carcinoma. Journal of Gynecologic Oncology. 31(4). e47–e47. 9 indexed citations

Yoshihara, Masato, Yoshihiko Yamakita, Hiroaki Kajiyama, et al.. (2020). Filopodia play an important role in the trans-mesothelial migration of ovarian cancer cells. Experimental Cell Research. 392(2). 112011–112011. 18 indexed citations

10.

Hayashi, Shotaro, Tomoko Nakamura, Yashiro Motooka, et al.. (2020). Novel ovarian endometriosis model causes infertility via iron-mediated oxidative stress in mice. Redox Biology. 37. 101726–101726. 67 indexed citations

11.

Yoshihara, Masato, Hiroaki Kajiyama, Satoshi Tamauchi, et al.. (2019). Prognostic factors and effects of fertility-sparing surgery in women of reproductive age with ovarian clear-cell carcinoma: a propensity score analysis. Journal of Gynecologic Oncology. 30(6). e102–e102. 24 indexed citations

12.

Kajiyama, Hiroaki, Shiro Suzuki, Masato Yoshihara, et al.. (2018). Endometriosis and cancer. Free Radical Biology and Medicine. 133. 186–192. 104 indexed citations

13.

Tanaka, Hiromasa, Masaaki Mizuno, Kenji Ishikawa, et al.. (2015). Responses of cells in plasma-activated medium. Bulletin of the American Physical Society. 1 indexed citations

14.

Kajiyama, Hiroaki, et al.. (2014). Expression of the miR200 Family of microRNAs in Mesothelial Cells Suppresses the Dissemination of Ovarian Cancer Cells. Molecular Cancer Therapeutics. 13(8). 2081–2091. 28 indexed citations

15.

Yuan, Hong, Hiroaki Kajiyama, Satoko Ito, et al.. (2013). ALX1 Induces Snail Expression to Promote Epithelial-to-Mesenchymal Transition and Invasion of Ovarian Cancer Cells. Cancer Research. 73(5). 1581–1590. 59 indexed citations

16.

Mitsui, Hiroko, Kiyosumi Shibata, Shiro Suzuki, et al.. (2011). Functional interaction between peritoneal mesothelial cells and stem cells of ovarian yolk sac tumor (SC-OYST) in peritoneal dissemination. Gynecologic Oncology. 124(2). 303–310. 18 indexed citations

17.

Ino, Kazuhiko, Kiyosumi Shibata, Hiroaki Kajiyama, et al.. (2006). Angiotensin II type 1 receptor expression in ovarian cancer and its correlation with tumour angiogenesis and patient survival. British Journal of Cancer. 94(4). 552–560. 106 indexed citations

18.

Kondo, Chihiro, Kiyosumi Shibata, Mikio Terauchi, et al.. (2005). A novel role for placental leucine aminopeptidase (P-LAP) as a determinant of chemoresistance in endometrial carcinoma cells. International Journal of Cancer. 118(6). 1390–1394. 35 indexed citations

19.

Shibata, Kiyosumi, Fumitaka Kikkawa, Chihiro Kondo, et al.. (2004). Placental leucine aminopeptidase (P-LAP) expression is associated with chemosensitivity in human endometrial carcinoma. Gynecologic Oncology. 95(2). 307–313. 7 indexed citations

20.

Kikkawa, Fumitaka, Kiyosumi Shibata, Tsukasa Suzuki, et al.. (2003). Signal Pathway Involved in Increased Expression of Neutral Endopeptidase 24.11 by Gonadotropin Releasing Hormone in Choriocarcinoma Cells. Placenta. 25(2-3). 176–183. 10 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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