Yukiko Nasu‐Nishimura

906 citations
19 papers · 708 indexed · h-index 15
Topics
Cellular transport and secretion (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Wnt/β-catenin signaling in development and cancer (3 papers)

In The Last Decade

Yukiko Nasu‐Nishimura

19 papers receiving 707 citations

Peers

Yukiko Nasu‐Nishimura
Comparison fields: 5 of 68
  • Molecular Biology 540
  • Cellular and Molecular Neuroscience 206
  • Cell Biology 128
  • Genetics 95
  • Oncology 78
Replace Woo‐Joo Song with:
Woo‐Joo Song South Korea
María-Victoria Hinckelmann France
Li-Ying Yu Finland
Marie-Laure Volvert Belgium
Frank M. J. Jacobs Netherlands
Emi Ling United States
Kalina Dimova Germany
Joy S. Tea United States
Magali Gillard Belgium
Yukiko Nasu‐Nishimura relative to Woo‐Joo Song South Korea Woo‐Joo Song's profile →
Citations per field
00.5×2.7×
Woo‐Joo Song · 1×
Citations per year

Countries citing papers authored by Yukiko Nasu‐Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Nasu‐Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yukiko Nasu‐Nishimura. 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 Yukiko Nasu‐Nishimura. The network helps show where Yukiko Nasu‐Nishimura may publish in the future.

Co-authorship network of co-authors of Yukiko Nasu‐Nishimura

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 7
2 41
3 44
4 6
5 16
6 108
7 13
8 30
9 42
10 30
11 70
12 77
13 1
14 42
15 22
16 36
17 23
18 42
19 58

About Yukiko Nasu‐Nishimura

Yukiko Nasu‐Nishimura is a scholar working on Geriatrics and Gerontology, Cell Biology and Molecular Biology, having authored 19 papers that have together received 708 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (206 citations), Molecular Biology (540 citations) and Cell Biology (128 citations). Yukiko Nasu‐Nishimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Katherine W. Roche, Tetsu Akiyama, Marc Lussier, Ryo Koyama‐Nasu, John Isaac, Tomoki Todo, Yasushi Ino, Nobuhito Saito, Yasuyuki Morishita and Ken Matsuura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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