Mima Shikanai

752 total citations
14 papers, 579 citations indexed

About

Mima Shikanai is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Mima Shikanai has authored 14 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cell Biology and 3 papers in Surgery. Recurrent topics in Mima Shikanai's work include Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (4 papers) and Pancreatic function and diabetes (3 papers). Mima Shikanai is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (4 papers) and Pancreatic function and diabetes (3 papers). Mima Shikanai collaborates with scholars based in Japan and United States. Mima Shikanai's co-authors include Takeshi Kawauchi, Kazunori Nakajima, Yo-ichi Nabeshima, Mikio Hoshino, Kaori Chihama, Katsutoshi Sekine, Ken‐ichiro Kubo, Kenji Tomita, Yoichi Kosodo and Michisuke Yuzaki and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Mima Shikanai

13 papers receiving 575 citations

Peers

Mima Shikanai
Comparison fields: 5 of 63
  • Molecular Biology 358
  • Cell Biology 280
  • Cellular and Molecular Neuroscience 176
  • Developmental Neuroscience 137
  • Genetics 68
Replace Kaori Chihama with:
Kaori Chihama Japan
Janna Merte United States
David R. Castañeda-Castellanos United States
Kenneth R. Myers United States
Fiona M. Smart United States
Anjana Nityanandam United States
Masahide Fukada Japan
Wolfgang Wagner Germany
José Wojnacki Argentina
Elise Peyre Belgium
Kaori Chihama Japan View profile →
Citations per field, relative to Mima Shikanai
Mima Shikanai · 1×
Citations per year, relative to Mima Shikanai
Mima Shikanai · 1×

Countries citing papers authored by Mima Shikanai

Since Specialization
Citations

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

Fields of papers citing papers by Mima Shikanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mima Shikanai

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 9
2 32
3 20
4 3
5 24
6 43
7 39
8 29
9 33
10 64
11 0
12 259
13 22
14 2

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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2026