Yuko Matsubara

1.6k total citations
75 papers, 1.3k citations indexed

About

Yuko Matsubara is a scholar working on Molecular Biology, Genetics and Obstetrics and Gynecology. According to data from OpenAlex, Yuko Matsubara has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 29 papers in Genetics and 20 papers in Obstetrics and Gynecology. Recurrent topics in Yuko Matsubara's work include Animal Genetics and Reproduction (27 papers), CRISPR and Genetic Engineering (23 papers) and Pregnancy and preeclampsia studies (16 papers). Yuko Matsubara is often cited by papers focused on Animal Genetics and Reproduction (27 papers), CRISPR and Genetic Engineering (23 papers) and Pregnancy and preeclampsia studies (16 papers). Yuko Matsubara collaborates with scholars based in Japan, United States and Russia. Yuko Matsubara's co-authors include Keiichi Matsubara, Takahiro Tagami, Takashi Harumi, Takashi Higaki, Akihiro Nawa, Mitsuru Naito, Masaharu Ito, Takashi Kuwana, Hiroshi KAGAMI and Michiharu Sakurai and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Investigative Dermatology and Biology of Reproduction.

In The Last Decade

Yuko Matsubara

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuko Matsubara Japan 20 636 489 403 252 180 75 1.3k
Isabelle Pellerin France 21 780 1.2× 246 0.5× 281 0.7× 154 0.6× 140 0.8× 38 1.4k
Tommi Vaskivuo Finland 20 669 1.1× 528 1.1× 188 0.5× 131 0.5× 271 1.5× 26 1.7k
Sophie Brouillet France 20 345 0.5× 135 0.3× 301 0.7× 272 1.1× 229 1.3× 64 1.1k
Carolina J. Jorgez United States 21 1.2k 1.9× 548 1.1× 123 0.3× 165 0.7× 170 0.9× 45 2.1k
S.R. Glasser United States 19 377 0.6× 316 0.6× 228 0.6× 151 0.6× 438 2.4× 31 1.2k
Fabienne Le Provost France 22 730 1.1× 333 0.7× 90 0.2× 87 0.3× 107 0.6× 60 1.3k
Damayanti Chakraborty United States 19 477 0.8× 114 0.2× 532 1.3× 380 1.5× 416 2.3× 29 1.2k
L.C. Giudice United States 10 356 0.6× 205 0.4× 281 0.7× 89 0.4× 647 3.6× 13 1.3k
S W Tsao Hong Kong 23 732 1.2× 118 0.2× 114 0.3× 80 0.3× 225 1.3× 42 1.3k
Akiko Spindle United States 19 716 1.1× 275 0.6× 96 0.2× 189 0.8× 192 1.1× 34 1.3k

Countries citing papers authored by Yuko Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Matsubara

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Matsubara. A scholar is included among the top collaborators of Yuko Matsubara 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 Yuko Matsubara. Yuko Matsubara 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.
Adachi, Kyoichi, et al.. (2025). Effectiveness of Artificial Intelligence in Screening Esophagogastroduodenoscopy. Cureus. 17(3). e79935–e79935.
2.
Matsubara, Keiichi, et al.. (2023). The Influence of Nicotine on Trophoblast-Derived Exosomes in a Mouse Model of Pathogenic Preeclampsia. International Journal of Molecular Sciences. 24(13). 11126–11126. 1 indexed citations
3.
4.
Matsubara, Keiichi, Yuko Matsubara, Miki Mori, et al.. (2016). Immune activation during the implantation phase causes preeclampsia-like symptoms via the CD40–CD40 ligand pathway in pregnant mice. Hypertension Research. 39(6). 407–414. 9 indexed citations
5.
Matsubara, Yuko & Keiichi Matsubara. (2012). Estrogen and progesterone play pivotal roles in endothelial progenitor cell proliferation. Reproductive Biology and Endocrinology. 10(1). 2–2. 35 indexed citations
6.
Fujioka, Toru, Hiroki Tanaka, Hisashi Hashimoto, et al.. (2012). Concurrent chemoradiotherapy with nedaplatin in patients with stage IIA to IVA cervical carcinoma. Molecular and Clinical Oncology. 1(1). 165–170. 1 indexed citations
7.
Tonelli, Marco, Kiran Kumar Singarapu, Shin‐ichi Makino, et al.. (2011). Hydrogen exchange during cell-free incorporation of deuterated amino acids and an approach to its inhibition. Journal of Biomolecular NMR. 51(4). 467–476. 26 indexed citations
8.
Matsubara, Keiichi, et al.. (2010). Role of nitric oxide and reactive oxygen species in the pathogenesis of preeclampsia. Journal of obstetrics and gynaecology research. 36(2). 239–247. 115 indexed citations
9.
Beebe, Emily T., Shin‐ichi Makino, Akira Nozawa, et al.. (2010). Robotic large-scale application of wheat cell-free translation to structural studies including membrane proteins. New Biotechnology. 28(3). 239–249. 28 indexed citations
10.
Matsubara, Yuko, Keiichi Matsubara, Toru Fujioka, et al.. (2007). Diagnosis and treatment of Wunderlich syndrome. International Journal of Gynecology & Obstetrics. 99(2). 132–133.
11.
Tagami, Takahiro, Hiroshi KAGAMI, Yuko Matsubara, et al.. (2006). Differentiation of female primordial germ cells in the male testes of chicken (Gallus gallus domesticus). Molecular Reproduction and Development. 74(1). 68–75. 44 indexed citations
12.
Matsubara, Keiichi, et al.. (2006). Circulating Endothelial Progenitor Cells During Normal Pregnancy and Pre‐Eclampsia. American Journal of Reproductive Immunology. 56(2). 79–85. 51 indexed citations
13.
Naito, M., Akiko Sano, Takashi Harumi, Yuko Matsubara, & Takashi Kuwana. (2004). Migration of primordial germ cells isolated from embryonic blood into the gonads after transfer to stage X blastoderms and detection of germline chimaerism by PCR. British Poultry Science. 45(6). 762–768. 25 indexed citations
14.
Sano, Akiko, et al.. (2003). Introduction of exogenous DNA into gonads of chick embryos by lipofection and electroporation of stage X blastodermsin vivo. British Poultry Science. 44(1). 36–39. 11 indexed citations
15.
Tajima, Shingo, Akira Ishibashi, Yuko Matsubara, et al.. (2002). Type XVI Collagen is Expressed in Factor XIIIa+ Monocyte-Derived Dermal Dendrocytes and Constitutes a Potential Substrate for Factor XIIIa. Journal of Investigative Dermatology. 118(2). 267–274. 25 indexed citations
16.
Harumi, Takashi, K. Maruyama, Hiroshi KAGAMI, et al.. (2001). Cloning of porcine IGF1 receptor cDNA and detection of sequence polymorphisms using RT‐PCR. Animal Genetics. 32(6). 386–389. 4 indexed citations
17.
18.
KAGAMI, Hiroshi, Takahiro Tagami, Yuko Matsubara, et al.. (1997). The developmental origin of primordial germ cells and the transmission of the donor-derived gametes in mixed-sex germline chimeras to the offspring in the chicken. Molecular Reproduction and Development. 48(4). 501–510. 102 indexed citations
19.
Wakayama, Teruhiko, et al.. (1994). Development of early-stage embryos of the Japanese field vole, Microtus montebelli , in vivo and in vitro. Reproduction. 101(3). 663–666. 9 indexed citations
20.
Kamio, Yoshiyuki, et al.. (1993). Purification and Properties of Collagenase fromCytophagasp. L43-1 Strain. Bioscience Biotechnology and Biochemistry. 57(11). 1894–1898. 26 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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