Rika Morishita

3.0k citations
76 papers · 2.5k indexed · h-index 30
Topics
Protein Kinase Regulation and GTPase Signaling (18 papers)Receptor Mechanisms and Signaling (9 papers)Cell Adhesion Molecules Research (9 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Rika Morishita

76 papers receiving 2.4k citations

Peers

Rika Morishita
Comparison fields: 5 of 105
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 709
  • Cell Biology 511
  • Genetics 272
  • Physiology 251
Replace Seung Kwak with:
Seung Kwak United States
Koh‐ichi Nagata Japan
Ursula Boschert United States
Richard C. Johnson United States
Andrea Menegon Italy
Marjo Salminen Finland
Manfred W. Kilimann Germany
Konstantin Ichtchenko United States
Eugene P. Brandon United States
Hideo Taniura Japan
Rika Morishita relative to Seung Kwak United States Seung Kwak's profile →
Citations per field
00.5×1.6×
Seung Kwak · 1×
Citations per year

Countries citing papers authored by Rika Morishita

Since Specialization
Citations

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

Fields of papers citing papers by Rika Morishita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Morishita

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Morishita. A scholar is included among the top collaborators of Rika Morishita 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 Rika Morishita. Rika Morishita 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
#WorkIndexed citations
1 7
2 12
3 11
4 52
5 7
6 15
7 14
8 60
9 48
10 23
11 19
12 12
13 33
14 12
15 72
16 10
17 7
18 38
19 47
20 18

About Rika Morishita

Rika Morishita is a scholar working on Immunology and Allergy, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (18 papers), Receptor Mechanisms and Signaling (9 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Developmental Neuroscience (178 citations), Cellular and Molecular Neuroscience (709 citations) and Cell Biology (511 citations). Rika Morishita has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tomiko Asano, Hidenori Ito, Koh‐ichi Nagata, Kanefusa Kato, Ikuko Iwamoto, Yutaka Inaguma, Taku Asano, Keisuke Kato, Kanefusa Kato and Sachiyo Goto. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

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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