Tomoko Makabe

669 total citations
19 papers, 496 citations indexed

About

Tomoko Makabe is a scholar working on Reproductive Medicine, Immunology and Obstetrics and Gynecology. According to data from OpenAlex, Tomoko Makabe has authored 19 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Reproductive Medicine, 10 papers in Immunology and 9 papers in Obstetrics and Gynecology. Recurrent topics in Tomoko Makabe's work include Endometriosis Research and Treatment (15 papers), Reproductive System and Pregnancy (10 papers) and Uterine Myomas and Treatments (7 papers). Tomoko Makabe is often cited by papers focused on Endometriosis Research and Treatment (15 papers), Reproductive System and Pregnancy (10 papers) and Uterine Myomas and Treatments (7 papers). Tomoko Makabe collaborates with scholars based in Japan and Canada. Tomoko Makabe's co-authors include Kaori Koga, Yutaka Osuga, Tomoyuki Fujii, Gentaro Izumi, Masashi Takamura, Ayumi Taguchi, Yoko Urata, Tetsuya Hirata, Arisa Takeuchi and Miyuki Harada and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Social Forces.

In The Last Decade

Tomoko Makabe

19 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Makabe Japan 12 409 284 248 61 41 19 496
Constanze Banz Germany 6 221 0.5× 165 0.6× 113 0.5× 67 1.1× 25 0.6× 9 333
Parveen Parasar United States 7 463 1.1× 331 1.2× 204 0.8× 121 2.0× 11 0.3× 14 596
Nicola Tempest United Kingdom 3 310 0.8× 225 0.8× 161 0.6× 37 0.6× 11 0.3× 6 362
Noriko Kado Japan 7 563 1.4× 382 1.3× 287 1.2× 59 1.0× 18 0.4× 8 646
Sophie Rier Netherlands 3 233 0.6× 117 0.4× 124 0.5× 29 0.5× 8 0.2× 4 406
Elena Trukhacheva United States 6 380 0.9× 286 1.0× 243 1.0× 41 0.7× 5 0.1× 6 469
Patrick Vandekerckhove United Kingdom 11 354 0.9× 129 0.5× 103 0.4× 220 3.6× 4 0.1× 15 477
Ryan M. Marquardt United States 8 373 0.9× 248 0.9× 281 1.1× 63 1.0× 10 0.2× 15 475
Toshifumi Noguchi Japan 8 416 1.0× 301 1.1× 175 0.7× 54 0.9× 13 0.3× 11 548
Jichan Nie China 10 403 1.0× 336 1.2× 169 0.7× 43 0.7× 2 0.0× 21 471

Countries citing papers authored by Tomoko Makabe

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Makabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Makabe

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

All Works

19 of 19 papers shown
1.
Koga, Kaori, Keiichi Kumasawa, Ayumi Taguchi, et al.. (2022). Impact of Chronic Exposure to Endometriosis on Perinatal Outcomes: Establishment of a Mouse Model. Biomedicines. 10(10). 2627–2627. 3 indexed citations
2.
Koga, Kaori, Takehiro Hiraoka, Keiichi Kumasawa, et al.. (2022). Establishment of a novel mouse model of adenomyosis suitable for longitudinal and quantitative analysis and perinatal outcome studies. Scientific Reports. 12(1). 17515–17515. 4 indexed citations
3.
Matsumura, Takeshi, et al.. (2022). Clinical Benefit of Switching from Low-Dose to High-Dose Empagliflozin in Patients with Type 2 Diabetes. Diabetes Therapy. 13(9). 1621–1634. 3 indexed citations
4.
Koga, Kaori, Masashi Takamura, Gentaro Izumi, et al.. (2021). The roles of polymorphonuclear myeloid-derived suppressor cells in endometriosis. Journal of Reproductive Immunology. 148. 103371–103371. 8 indexed citations
5.
Makabe, Tomoko, Kaori Koga, Hiroshi Nagabukuro, et al.. (2020). Use of selective PGE2 receptor antagonists on human endometriotic stromal cells and peritoneal macrophages. Molecular Human Reproduction. 27(1). 10 indexed citations
6.
Takeuchi, Arisa, Kaori Koga, Takashi Matsumoto, et al.. (2020). The effects of tokishakuyakusan, a traditional Japanese medicine (kampo), ferulic acid and paeoniflorin, on human endometriotic stromal cells and peritoneal macrophages. Journal of Reproductive Immunology. 139. 103104–103104. 8 indexed citations
7.
Takeuchi, Arisa, Kaori Koga, Tomoko Makabe, et al.. (2019). Endometriosis Triggers Excessive Activation of Primordial Follicles via PI3K-PTEN-Akt-Foxo3 Pathway. The Journal of Clinical Endocrinology & Metabolism. 104(11). 5547–5554. 46 indexed citations
8.
Miyashita‐Ishiwata, Mariko, Kaori Koga, Arisa Takeuchi, et al.. (2018). Expression of Nerve Injury-Induced Protein1 (Ninj1) in Endometriosis. Reproductive Sciences. 26(8). 1105–1110. 12 indexed citations
9.
Izumi, Gentaro, Kaori Koga, Masashi Takamura, et al.. (2018). Involvement of immune cells in the pathogenesis of endometriosis. Journal of obstetrics and gynaecology research. 44(2). 191–198. 137 indexed citations
10.
Izumi, Gentaro, Kaori Koga, Masashi Takamura, et al.. (2016). Mannose receptor is highly expressed by peritoneal dendritic cells in endometriosis. Fertility and Sterility. 107(1). 167–173.e2. 36 indexed citations
11.
Makabe, Tomoko, Kaori Koga, Mariko Miyashita‐Ishiwata, et al.. (2016). Drospirenone reduces inflammatory cytokines, vascular endothelial growth factor (VEGF) and nerve growth factor (NGF) expression in human endometriotic stromal cells. Journal of Reproductive Immunology. 119. 44–48. 14 indexed citations
12.
Takeuchi, Arisa, Kaori Koga, Mariko Miyashita‐Ishiwata, et al.. (2016). Dienogest reduces proliferation, NGF expression and nerve fiber density in human adenomyosis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 207. 157–161. 18 indexed citations
13.
Haraguchi, Hirofumi, Kaori Koga, Masashi Takamura, et al.. (2016). Development of ovarian cancer after excision of endometrioma. Fertility and Sterility. 106(6). 1432–1437.e2. 23 indexed citations
14.
Miyashita‐Ishiwata, Mariko, Kaori Koga, Gentaro Izumi, et al.. (2016). Effects of 1,25-Dihydroxy Vitamin D3 on Endometriosis. The Journal of Clinical Endocrinology & Metabolism. 101(6). 2371–2379. 90 indexed citations
15.
Taguchi, Ayumi, Kaori Koga, Kei Kawana, et al.. (2016). Resveratrol Enhances Apoptosis in Endometriotic Stromal Cells. American Journal of Reproductive Immunology. 75(4). 486–492. 39 indexed citations
16.
Miyashita‐Ishiwata, Mariko, Kaori Koga, Gentaro Izumi, et al.. (2015). Drospirenone induces decidualization in human eutopic endometrial stromal cells and reduces DNA synthesis of human endometriotic stromal cells. Fertility and Sterility. 104(1). 217–224.e2. 11 indexed citations
17.
Makabe, Tomoko. (1998). The Canadian Sansei. University of Toronto Press eBooks. 11 indexed citations
18.
Makabe, Tomoko. (1981). The Theory of the Split Labor Market: A Comparison of the Japanese Experience in Brazil and Canada. Social Forces. 59(3). 786–786. 5 indexed citations
19.
Makabe, Tomoko. (1981). The Theory of the Split Labor Market: A Comparison of the Japanese Experience in Brazil and Canada. Social Forces. 59(3). 786–809. 18 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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