Tomoko Nakamura

5.9k total citations
187 papers, 4.3k citations indexed

About

Tomoko Nakamura is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tomoko Nakamura has authored 187 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Reproductive Medicine, 38 papers in Molecular Biology and 34 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tomoko Nakamura's work include Ovarian function and disorders (28 papers), Reproductive Biology and Fertility (24 papers) and Endometriosis Research and Treatment (19 papers). Tomoko Nakamura is often cited by papers focused on Ovarian function and disorders (28 papers), Reproductive Biology and Fertility (24 papers) and Endometriosis Research and Treatment (19 papers). Tomoko Nakamura collaborates with scholars based in Japan, United States and New Zealand. Tomoko Nakamura's co-authors include Akira Iwase, Fumitaka Kikkawa, Maki Goto, Masaki Fukata, Shinya Kuroda, Kozo Kaibuchi, Satoko Osuka, Hisayuki Matsuo, Kensaku Mizuno and Yoshiharu Matsuura and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Tomoko Nakamura

176 papers receiving 4.2k citations

Peers

Tomoko Nakamura
Sham S. Kakar United States
M. Zabel Poland
Robert Morris United States
Belinda Willard United States
Tomoko Nakamura
Citations per year, relative to Tomoko Nakamura Tomoko Nakamura (= 1×) peers Tzu‐Hao Wang

Countries citing papers authored by Tomoko Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Nakamura. A scholar is included among the top collaborators of Tomoko Nakamura 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 Tomoko Nakamura. Tomoko Nakamura 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.
Yamada, Kiyotaka, Masami Ito, Mihoko Yoshida, et al.. (2025). Rubicon, a Key Molecule for Oxidative Stress-Mediated DNA Damage, in Ovarian Granulosa Cells. Antioxidants. 14(4). 470–470. 4 indexed citations
2.
Motooka, Yashiro, Tomoko Nakamura, Satoko Osuka, et al.. (2025). Susceptibility of Brca1(L63X/+) rat to ovarian reserve dissipation by chemotherapeutic agents to breast cancer. Cancer Science. 116(4). 1139–1152. 1 indexed citations
3.
Muraoka, Ayako, Akira Yokoi, Kosuke Yoshida, et al.. (2025). Serum-derived small extracellular vesicles as biomarkers for predicting pregnancy and delivery on assisted reproductive technology in patients with endometriosis. Frontiers in Endocrinology. 15. 1442684–1442684. 3 indexed citations
4.
Motooka, Yashiro, Yuki Maeda, Tomoko Nakamura, et al.. (2024). Brca2 (p.T1942fs/+) dissipates ovarian reserve in rats through oxidative stress in follicular granulosa cells. Free Radical Research. 58(2). 130–143. 2 indexed citations
5.
Osuka, Satoko, Kazuo Tsuzuki, Bayasula, et al.. (2024). Association between anti‐Müllerian hormone levels and polycystic ovary syndrome in a general cohort of young women in Japan. Reproductive Medicine and Biology. 23(1). e12615–e12615.
7.
Muraoka, Ayako, Satoko Osuka, Akira Yokoi, et al.. (2023). Serum miRNA as a predictive biomarker for ovarian reserve after endometrioma-cystectomy. Reproductive Biology. 24(1). 100821–100821. 1 indexed citations
8.
Osuka, Satoko, Shohei Iyoshi, Ayako Muraoka, et al.. (2023). Follicle development and its prediction in patients with primary ovarian insufficiency: Possible treatments and markers to maximize the ability to conceive with residual follicles. Reproductive Medicine and Biology. 22(1). e12556–e12556. 8 indexed citations
9.
Nakamura, Tomoko, Eiji Kobayashi, Hiroshi Hamana, et al.. (2022). Evaluation of chimeric antigen receptor of humanized rabbit‐derived T cell receptor‐like antibody. Cancer Science. 113(10). 3321–3329. 1 indexed citations
10.
Ozawa, Tatsuhiko, Eiji Kobayashi, Hiroshi Hamana, et al.. (2021). Rapid and efficient generation of T‐cell receptor‐like antibodies using chip‐based single‐cell analysis. European Journal of Immunology. 51(7). 1850–1853. 3 indexed citations
11.
Weis-Banke, Stine Emilie, Mads Lerdrup, Daniela Kleine‐Kohlbrecher, et al.. (2020). Mutant FOXL2C134W Hijacks SMAD4 and SMAD2/3 to Drive Adult Granulosa Cell Tumors. Cancer Research. 80(17). 3466–3479. 37 indexed citations
12.
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
13.
Nakamura, Tomoko, Satoko Osuka, Bayasula, et al.. (2019). Involvement of Transcription Factor 21 in the Pathogenesis of Fibrosis in Endometriosis. American Journal Of Pathology. 190(1). 145–157. 29 indexed citations
14.
Qin, Ying, Akira Iwase, Tomohiko Murase, et al.. (2018). Protective effects of mangafodipir against chemotherapy-induced ovarian damage in mice. Reproductive Biology and Endocrinology. 16(1). 106–106. 18 indexed citations
15.
Iwase, Akira, Satoko Osuka, Maki Goto, et al.. (2018). Clinical application of serum anti‐Müllerian hormone as an ovarian reserve marker: A review of recent studies. Journal of obstetrics and gynaecology research. 44(6). 998–1006. 36 indexed citations
16.
Iwase, Akira, Chiharu Ishida, Takashi Nagai, et al.. (2018). Upregulation of Fibroblast Growth Factors Caused by Heart and Neural Crest Derivatives Expressed 2 Suppression in Endometriotic Cells: A Possible Therapeutic Target in Endometriosis. Reproductive Sciences. 26(7). 979–987. 14 indexed citations
17.
Murase, Tomohiko, Akira Iwase, Kouji Komatsu, et al.. (2017). Follicle dynamics: visualization and analysis of follicle growth and maturation using murine ovarian tissue culture. Journal of Assisted Reproduction and Genetics. 35(2). 339–343. 11 indexed citations
18.
Hayashi, Atsushi, et al.. (2014). Observation of microcystic changes in the inner retina with adaptive optics fundus camera. Investigative Ophthalmology & Visual Science. 55(13). 2608–2608. 1 indexed citations
19.
Ohnishi, Hideo, et al.. (1993). THE INTERMITTENT CYCLICAL ETIDRONATE DISODIUM (EHDP) TREATMENT MAINTAINS THE MECHANICAL PROPERTY OF BONE IN OVARIECTOMIZED RATS. Journal of Bone and Mineral Research. 8. 276. 1 indexed citations
20.
Kawamura, Ikuo, Sueo Mukumoto, Toshitaka Manda, et al.. (1989). Antiestrogenic and antitumor effects of droloxifene in experimental breast carcinoma.. PubMed. 39(8). 889–93. 13 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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