Mitsutoshi Nakamura

730 total citations
31 papers, 506 citations indexed

About

Mitsutoshi Nakamura is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Mitsutoshi Nakamura has authored 31 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Mitsutoshi Nakamura's work include Cellular Mechanics and Interactions (12 papers), Developmental Biology and Gene Regulation (10 papers) and Cellular transport and secretion (5 papers). Mitsutoshi Nakamura is often cited by papers focused on Cellular Mechanics and Interactions (12 papers), Developmental Biology and Gene Regulation (10 papers) and Cellular transport and secretion (5 papers). Mitsutoshi Nakamura collaborates with scholars based in United States, Japan and South Africa. Mitsutoshi Nakamura's co-authors include Susan M. Parkhurst, Jeffrey M. Verboon, Kenji Matsuno, Ryo Hatori, Naotaka Nakazawa, Kiichiro Taniguchi, Reo Maeda, Takashi Okumura, Shunya Hozumi and Tadashi Ando and has published in prestigious journals such as Science, The Journal of Cell Biology and Development.

In The Last Decade

Mitsutoshi Nakamura

30 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsutoshi Nakamura United States 12 297 204 62 53 46 31 506
Ryo Hatori Japan 11 310 1.0× 179 0.9× 74 1.2× 51 1.0× 60 1.3× 15 457
Naotaka Nakazawa Japan 14 309 1.0× 347 1.7× 64 1.0× 111 2.1× 48 1.0× 20 612
Shunya Hozumi Japan 11 396 1.3× 212 1.0× 78 1.3× 46 0.9× 84 1.8× 17 599
Gaëlle Lebreton France 9 199 0.7× 118 0.6× 69 1.1× 26 0.5× 31 0.7× 13 324
Delphine Cérézo France 12 337 1.1× 219 1.1× 123 2.0× 23 0.4× 57 1.2× 16 593
Brian Jenkins United States 8 500 1.7× 175 0.9× 50 0.8× 34 0.6× 85 1.8× 9 666
Nishit Srivastava United States 11 327 1.1× 182 0.9× 38 0.6× 70 1.3× 122 2.7× 13 633
Ippei Kotera Japan 12 569 1.9× 90 0.4× 138 2.2× 60 1.1× 49 1.1× 14 843
Shoshana Posy United States 8 538 1.8× 265 1.3× 116 1.9× 35 0.7× 26 0.6× 8 758
Constantina Bakolitsa United States 9 358 1.2× 386 1.9× 65 1.0× 47 0.9× 32 0.7× 10 712

Countries citing papers authored by Mitsutoshi Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Mitsutoshi Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsutoshi Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsutoshi Nakamura. A scholar is included among the top collaborators of Mitsutoshi Nakamura 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 Mitsutoshi Nakamura. Mitsutoshi Nakamura 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.
Nakamura, Mitsutoshi & Susan M. Parkhurst. (2024). Calcium influx rapidly establishes distinct spatial recruitments of Annexins to cell wounds. Genetics. 227(4). 1 indexed citations
2.
Nakamura, Mitsutoshi & Susan M. Parkhurst. (2024). Septin complexes: Ahead of the curve. Cytoskeleton. 82(4). 229–233.
3.
Nakamura, Mitsutoshi, et al.. (2023). Centralspindlin proteins Pavarotti and Tumbleweed along with WASH regulate nuclear envelope budding. The Journal of Cell Biology. 222(8). 1 indexed citations
4.
Nakamura, Mitsutoshi, et al.. (2023). Coordinated efforts of different actin filament populations are needed for optimal cell wound repair. Molecular Biology of the Cell. 34(3). ar15–ar15. 8 indexed citations
5.
Nakamura, Mitsutoshi, et al.. (2023). Bending actin filaments: twists of fate. PubMed. 12. 7–7. 2 indexed citations
6.
Lai, Yi‐Ting, Takeshi Sasamura, Junpei Kuroda, et al.. (2023). The Drosophila AWP1 ortholog Doctor No regulates JAK/STAT signaling for left–right asymmetry in the gut by promoting receptor endocytosis. Development. 150(6). 4 indexed citations
7.
Nakamura, Mitsutoshi, et al.. (2022). Wrangling Actin Assemblies: Actin Ring Dynamics during Cell Wound Repair. Cells. 11(18). 2777–2777. 10 indexed citations
8.
Shin, Dong Sun, Mitsutoshi Nakamura, Yoshitaka Morishita, et al.. (2021). Collective nuclear behavior shapes bilateral nuclear symmetry for subsequent left-right asymmetric morphogenesis in Drosophila. Development. 148(18). 2 indexed citations
9.
Verboon, Jeffrey M., et al.. (2020). Drosophila Wash and the Wash regulatory complex function in nuclear envelope budding. Journal of Cell Science. 133(13). 7 indexed citations
10.
Nakamura, Mitsutoshi, et al.. (2020). The kinesin-like protein Pavarotti functions noncanonically to regulate actin dynamics. The Journal of Cell Biology. 219(9). 12 indexed citations
11.
Nakamura, Mitsutoshi, et al.. (2020). Autocrine insulin pathway signaling regulates actin dynamics in cell wound repair. PLoS Genetics. 16(12). e1009186–e1009186. 8 indexed citations
12.
Verboon, Jeffrey M., Mitsutoshi Nakamura, Nour J. Abdulhay, et al.. (2020). Infantile Myelofibrosis and Myeloproliferation with CDC42Dysfunction. Journal of Clinical Immunology. 40(4). 554–566. 20 indexed citations
13.
Ishibashi, T., Ryo Hatori, Reo Maeda, et al.. (2019). E and ID proteins regulate cell chirality and left–right asymmetric development in Drosophila. Genes to Cells. 24(3). 214–230. 9 indexed citations
14.
Li‐Kroeger, David, Shinya Yamamoto, Mitsutoshi Nakamura, et al.. (2019). Maternal almondex, a neurogenic gene, is required for proper subcellular Notch distribution in early Drosophila embryogenesis. Development Growth & Differentiation. 62(1). 80–93. 4 indexed citations
15.
Nakamura, Mitsutoshi, Jeffrey M. Verboon, & Susan M. Parkhurst. (2017). Prepatterning by RhoGEFs governs Rho GTPase spatiotemporal dynamics during wound repair. The Journal of Cell Biology. 216(12). 3959–3969. 42 indexed citations
16.
Okumura, Takashi, Takeshi Sasamura, Shunya Hozumi, et al.. (2015). Class I Myosins Have Overlapping and Specialized Functions in Left-Right Asymmetric Development inDrosophila. Genetics. 199(4). 1183–1199. 16 indexed citations
17.
Nakamura, Mitsutoshi, Takeshi Muguruma, Naotaka Nakazawa, et al.. (2012). Reduced cell number in the hindgut epithelium disrupts hindgut left–right asymmetry in a mutant of pebble, encoding a RhoGEF, in Drosophila embryos. Mechanisms of Development. 130(2-3). 169–180. 13 indexed citations
18.
Nakamura, Mitsutoshi, Eiwa Ishida, Egbert Oosterwijk, et al.. (2001). Aberrations of the p14ARF and p16INK4a Genes in Renal Cell Carcinomas. Japanese Journal of Cancer Research. 92(12). 1293–1299. 22 indexed citations
19.
Konishi, Noboru, Mitsutoshi Nakamura, Toshihide Tsuzuki, et al.. (1998). Drug resistance and apoptosis in ENU-induced rat brain tumors treated with anti-cancer drugs. Journal of Neuro-Oncology. 36(2). 105–112. 12 indexed citations
20.
Nakamura, Mitsutoshi, Noboru Konishi, Hiroyuki Nakase, et al.. (1998). Frequent alterations of cell-cycle regulators in astrocytic tumors as detected by molecular genetic and immunohistochemical analyses. Brain Tumor Pathology. 15(2). 83–88. 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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