Chika Yamashiro

768 total citations
9 papers, 503 citations indexed

About

Chika Yamashiro is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Chika Yamashiro has authored 9 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 1 paper in Reproductive Medicine. Recurrent topics in Chika Yamashiro's work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (3 papers). Chika Yamashiro is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (3 papers). Chika Yamashiro collaborates with scholars based in Japan, United States and Germany. Chika Yamashiro's co-authors include Mitinori Saitou, Yukihiro Yabuta, Takuya Yamamoto, Tomonori Nakamura, Yusuke Murase, Yoji Kojima, Yukiko Ishikura, Shihori Yokobayashi, Kotaro Sasaki and Ikuhiro Okamoto and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Chika Yamashiro

9 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chika Yamashiro Japan 8 419 236 135 122 26 9 503
Mikiko Tokoro Japan 13 348 0.8× 217 0.9× 96 0.7× 75 0.6× 17 0.7× 31 471
Melissa A. Cooney Australia 13 290 0.7× 250 1.1× 186 1.4× 86 0.7× 10 0.4× 17 420
Mika Katayama United States 10 204 0.5× 313 1.3× 112 0.8× 186 1.5× 16 0.6× 11 399
Suo‐Feng Ma China 10 200 0.5× 281 1.2× 94 0.7× 137 1.1× 22 0.8× 11 346
P. Fisher United Kingdom 7 253 0.6× 232 1.0× 131 1.0× 52 0.4× 12 0.5× 12 349
Mingming Xie China 2 218 0.5× 144 0.6× 71 0.5× 111 0.9× 18 0.7× 5 295
Joanne E. I. Gittens Canada 6 450 1.1× 389 1.6× 79 0.6× 228 1.9× 19 0.7× 6 632
Ilaria Stanghellini Italy 9 269 0.6× 94 0.4× 53 0.4× 60 0.5× 24 0.9× 15 400
Lora J. Hagemann New Zealand 9 265 0.6× 320 1.4× 200 1.5× 167 1.4× 19 0.7× 16 531
R. Behr Germany 9 256 0.6× 90 0.4× 118 0.9× 121 1.0× 33 1.3× 10 347

Countries citing papers authored by Chika Yamashiro

Since Specialization
Citations

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

Fields of papers citing papers by Chika Yamashiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chika Yamashiro

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

All Works

9 of 9 papers shown
1.
Murase, Yusuke, Yukihiro Yabuta, Masahiro Nagano, et al.. (2024). In vitro reconstitution of epigenetic reprogramming in the human germ line. Nature. 631(8019). 170–178. 28 indexed citations
2.
Kojima, Yoji, Chika Yamashiro, Yusuke Murase, et al.. (2021). GATA transcription factors, SOX17 and TFAP2C, drive the human germ-cell specification program. Life Science Alliance. 4(5). e202000974–e202000974. 45 indexed citations
3.
Ishikura, Yukiko, Hiroshi Ohta, Takuya Sato, et al.. (2021). In vitro reconstitution of the whole male germ-cell development from mouse pluripotent stem cells. Cell stem cell. 28(12). 2167–2179.e9. 103 indexed citations
4.
Murase, Yusuke, Yukihiro Yabuta, Hiroshi Ohta, et al.. (2020). Long‐term expansion with germline potential of human primordial germ cell‐like cells in vitro. The EMBO Journal. 39(21). 431–439. 44 indexed citations
5.
Yamashiro, Chika, Kotaro Sasaki, Shihori Yokobayashi, Yoji Kojima, & Mitinori Saitou. (2020). Generation of human oogonia from induced pluripotent stem cells in culture. Nature Protocols. 15(4). 1560–1583. 45 indexed citations
6.
Yamashiro, Chika, Kotaro Sasaki, Yukihiro Yabuta, et al.. (2019). Generation of Human Oogonia From Induced Pluripotent Stem Cells In Vitro. Obstetrical & Gynecological Survey. 74(3). 158–159. 2 indexed citations
7.
Yamashiro, Chika, Kotaro Sasaki, Yukihiro Yabuta, et al.. (2018). Generation of human oogonia from induced pluripotent stem cells in vitro. Science. 362(6412). 356–360. 211 indexed citations
8.
Mitani, Tadahiro, Yukihiro Yabuta, Hiroshi Ohta, et al.. (2017). Principles for the regulation of multiple developmental pathways by a versatile transcriptional factor, BLIMP1. Nucleic Acids Research. 45(21). 12152–12169. 9 indexed citations
9.
Yamashiro, Chika, Takayuki Hirota, Kazuki Kurimoto, et al.. (2016). Persistent Requirement and Alteration of the Key Targets of PRDM1 During Primordial Germ Cell Development in Mice1. Biology of Reproduction. 94(1). 7–7. 16 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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