Mina Kojima

854 total citations
10 papers, 534 citations indexed

About

Mina Kojima is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Mina Kojima has authored 10 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Epidemiology. Recurrent topics in Mina Kojima's work include Pluripotent Stem Cells Research (3 papers), DNA Repair Mechanisms (3 papers) and CRISPR and Genetic Engineering (2 papers). Mina Kojima is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), DNA Repair Mechanisms (3 papers) and CRISPR and Genetic Engineering (2 papers). Mina Kojima collaborates with scholars based in United States and Japan. Mina Kojima's co-authors include Dirk G. de Rooij, David C. Page, Hilary A. Coller, Johanna M. S. Lemons, James R. Valcourt, Alexander K. Godfrey, Y. Q. Shirleen Soh, Maria M. Mikedis, Katherine A. Romer and Aster Legesse-Miller and has published in prestigious journals such as Nature Communications, Molecular Cell and Nature Reviews Genetics.

In The Last Decade

Mina Kojima

10 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mina Kojima United States	8	398	114	84	59	52	10	534
Mehdi Alikhani Iran	13	283 0.7×	53 0.5×	79 0.9×	68 1.2×	84 1.6×	35	545
Yujiao Dang China	9	562 1.4×	175 1.5×	189 2.3×	37 0.6×	16 0.3×	11	710
Karen Fancher United States	7	563 1.4×	54 0.5×	197 2.3×	151 2.6×	54 1.0×	8	698
Huaqin Sun China	13	329 0.8×	160 1.4×	65 0.8×	126 2.1×	99 1.9×	46	616
Gloryn Chia United States	10	612 1.5×	43 0.4×	99 1.2×	107 1.8×	32 0.6×	14	695
Wolfgang Bielke Germany	12	518 1.3×	97 0.9×	48 0.6×	95 1.6×	10 0.2×	20	707
Minna‐Liisa Änkö Australia	15	876 2.2×	226 2.0×	23 0.3×	56 0.9×	25 0.5×	27	1.0k
Patrícia Diniz Portugal	10	428 1.1×	59 0.5×	95 1.1×	98 1.7×	14 0.3×	19	736
Zhuojuan Luo China	16	871 2.2×	121 1.1×	32 0.4×	129 2.2×	58 1.1×	32	1.0k
Xukun Lu China	16	629 1.6×	93 0.8×	196 2.3×	123 2.1×	22 0.4×	27	771

Countries citing papers authored by Mina Kojima

Since Specialization

Citations

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

Fields of papers citing papers by Mina Kojima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Kojima

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

All Works

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10 of 10 papers shown

1.

Boswell, Curtis W., Caroline Hoppe, Alice Sherrard, et al.. (2025). Genetically encoded affinity reagents are a toolkit for visualizing and manipulating endogenous protein function in vivo. Nature Communications. 16(1). 5503–5503. 1 indexed citations

2.

Kojima, Mina, Caroline Hoppe, & Antonio J. Giráldez. (2024). The maternal-to-zygotic transition: reprogramming of the cytoplasm and nucleus. Nature Reviews Genetics. 26(4). 245–267. 9 indexed citations

3.

Kojima, Mina, et al.. (2022). The landscape of pioneer factor activity reveals the mechanisms of chromatin reprogramming and genome activation. Molecular Cell. 82(5). 986–1002.e9. 50 indexed citations

4.

Kojima, Mina, Dirk G. de Rooij, & David C. Page. (2019). Amplification of a broad transcriptional program by a common factor triggers the meiotic cell cycle in mice. eLife. 8. 88 indexed citations

5.

Romer, Katherine A., Dirk G. de Rooij, Mina Kojima, & David C. Page. (2018). Isolating mitotic and meiotic germ cells from male mice by developmental synchronization, staging, and sorting. Developmental Biology. 443(1). 19–34. 28 indexed citations

6.

Soh, Y. Q. Shirleen, Maria M. Mikedis, Mina Kojima, et al.. (2017). Meioc maintains an extended meiotic prophase I in mice. PLoS Genetics. 13(4). e1006704–e1006704. 97 indexed citations

7.

Valcourt, James R., et al.. (2012). Staying alive. Cell Cycle. 11(9). 1680–1696. 173 indexed citations

8.

Legesse-Miller, Aster, Elizabeth L. Johnson, Johanna M. S. Lemons, et al.. (2012). A microRNA network regulates proliferative timing and extracellular matrix synthesis during cellular quiescence in fibroblasts. Genome biology. 13(12). R121–R121. 57 indexed citations

9.

Kanazawa, Y., et al.. (1996). 2‐Deoxy‐2‐Fluoro‐d‐Glucose as a Functional Probe for NMR: The Unique Metabolism Beyond Its 6‐Phosphate. Journal of Neurochemistry. 66(5). 2113–2120. 24 indexed citations

10.

Imai, Yuzuru, et al.. (1974). Development and regeneration of the thymus: the epithelial origin of the lymphocytes in the thymus of the mouse and chick.. PubMed. 15(6). 475–96. 7 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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