Akihiro Fujikawa

2.5k citations
44 papers · 1.9k indexed · h-index 27
Topics
Protein Tyrosine Phosphatases (20 papers)Galectins and Cancer Biology (10 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)
Partner nations
JapanUnited StatesQatar

In The Last Decade

Akihiro Fujikawa

43 papers receiving 1.9k citations

Peers

Akihiro Fujikawa
Comparison fields: 5 of 98
  • Molecular Biology 999
  • Immunology 463
  • Cell Biology 322
  • Surgery 286
  • Cellular and Molecular Neuroscience 271
Replace Sachiko Kamakura with:
Sachiko Kamakura Japan
A. D. Strosberg France
Serge Alonso France
David von Schack United States
Cheryl B. Bock United States
Dejan Lazarević Italy
Zhongzhen Nie United States
Valérie Montel France
Mako Narisawa‐Saito Japan
Yuanshu Dong United States
Akihiro Fujikawa relative to Sachiko Kamakura Japan Sachiko Kamakura's profile →
Citations per field
00.5×4.9×
Sachiko Kamakura · 1×
Citations per year

Countries citing papers authored by Akihiro Fujikawa

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Fujikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Fujikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Fujikawa. A scholar is included among the top collaborators of Akihiro Fujikawa 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 Akihiro Fujikawa. Akihiro Fujikawa 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 8
2 30
3 2
4 8
5 26
6 40
7 23
8 47
9 15
10 36
11 31
12
Quantification of retinal pigment epithelial phenotypic variation using laser scanning cytometry.
15
13 63
14 157
15 70
16 57
17 74
18 29
19 134
20 135

About Akihiro Fujikawa

Akihiro Fujikawa is a scholar working on Developmental Neuroscience, Immunology and Allergy and Cell Biology, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (20 papers), Galectins and Cancer Biology (10 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Immunology and Allergy (258 citations), Developmental Neuroscience (113 citations) and Immunology (463 citations). Akihiro Fujikawa has collaborated with scholars based in Japan, United States and Qatar. Frequent co-authors include Masaharu Noda, Ryoko Suzuki, Masahide Fukada, Kazuya Kuboyama, Eiji Watanabe, Hidetada Shimizu, Jeremy P.H. Chow, Masahito Matsumoto, Takafumi Shintani and Hiroyuki Kawachi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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