Mayumi Isokane

581 total citations
9 papers, 430 citations indexed

About

Mayumi Isokane is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Mayumi Isokane has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Mayumi Isokane's work include Microtubule and mitosis dynamics (4 papers), Genomics and Chromatin Dynamics (2 papers) and Nuclear Structure and Function (2 papers). Mayumi Isokane is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Genomics and Chromatin Dynamics (2 papers) and Nuclear Structure and Function (2 papers). Mayumi Isokane collaborates with scholars based in Germany, Japan and Netherlands. Mayumi Isokane's co-authors include Jan Ellenberg, Robert Mahen, Jutta Bulkescher, Balca R. Mardin, Christian Conrad, Malte Wachsmuth, Rainer Pepperkok, Shigeki Higashiyama, Masachika Shudou and Miki Hieda and has published in prestigious journals such as The Journal of Cell Biology, Nature Biotechnology and PLoS ONE.

In The Last Decade

Mayumi Isokane

9 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mayumi Isokane Germany	7	327	138	77	57	55	9	430
Lidija Pestic‐Dragovich United States	7	375 1.1×	143 1.0×	90 1.2×	34 0.6×	19 0.3×	8	558
Émilie Louvet France	16	551 1.7×	100 0.7×	199 2.6×	41 0.7×	30 0.5×	23	805
Georgia Xouri Germany	10	401 1.2×	118 0.9×	149 1.9×	31 0.5×	19 0.3×	10	539
Mohan Malleshaiah Canada	11	629 1.9×	205 1.5×	77 1.0×	59 1.0×	38 0.7×	19	771
Yoshiya Yonekubo United States	7	451 1.4×	124 0.9×	162 2.1×	18 0.3×	17 0.3×	7	589
Adam B. Johnston United States	9	225 0.7×	233 1.7×	40 0.5×	40 0.7×	57 1.0×	9	448
Youngdong Yoo United States	10	512 1.6×	297 2.2×	90 1.2×	41 0.7×	17 0.3×	10	719
Liusheng He United States	11	558 1.7×	59 0.4×	111 1.4×	40 0.7×	71 1.3×	12	707
Jonathan P. DiNitto United States	10	476 1.5×	296 2.1×	40 0.5×	36 0.6×	11 0.2×	12	662
Jackie Cheng United States	6	285 0.9×	242 1.8×	40 0.5×	29 0.5×	26 0.5×	11	458

Countries citing papers authored by Mayumi Isokane

Since Specialization

Citations

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

Fields of papers citing papers by Mayumi Isokane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Isokane

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Isokane, Mayumi, Thomas Walter, Robert Mahen, et al.. (2016). ARHGEF17 is an essential spindle assembly checkpoint factor that targets Mps1 to kinetochores. The Journal of Cell Biology. 212(6). 647–659. 17 indexed citations

2.

Wachsmuth, Malte, Christian Conrad, Jutta Bulkescher, et al.. (2015). High-throughput fluorescence correlation spectroscopy enables analysis of proteome dynamics in living cells. Nature Biotechnology. 33(4). 384–389. 114 indexed citations

3.

Mardin, Balca R., Alexandros P. Drainas, Sebastian M. Waszak, et al.. (2015). A cell‐based model system links chromothripsis with hyperploidy. Molecular Systems Biology. 11(9). 828–828. 92 indexed citations

4.

Mardin, Balca R., et al.. (2013). EGF-Induced Centrosome Separation Promotes Mitotic Progression and Cell Survival. Developmental Cell. 25(3). 229–240. 57 indexed citations

5.

Widlund, Per O., Silvano Piazza, Débora Rosa Bublik, et al.. (2012). GTSE1 Is a Microtubule Plus-End Tracking Protein That Regulates EB1-Dependent Cell Migration. PLoS ONE. 7(12). e51259–e51259. 48 indexed citations

6.

Hieda, Miki, Mayumi Isokane, Michiko Koizumi, et al.. (2008). Membrane-anchored growth factor, HB-EGF, on the cell surface targeted to the inner nuclear membrane. The Journal of Cell Biology. 180(4). 763–769. 66 indexed citations

7.

Isokane, Mayumi, Miki Hieda, Satoshi Hirakawa, et al.. (2008). Plasma-membrane-anchored growth factor pro-amphiregulin binds A-type lamin and regulates global transcription. Journal of Cell Science. 121(21). 3608–3618. 34 indexed citations

8.

Isokane, Mayumi, et al.. (2006). Surface osteosarcoma: 2 case reports. American Journal of Otolaryngology. 27(5). 349–352. 1 indexed citations

9.

Sumida, Tomoki, et al.. (2005). A Case of Peripheral Facial Palsy after Sagittal Splitting Ramus Osteotomy. 18(1). 114–117. 1 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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