Dakai Mu

1.7k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Dakai Mu is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Dakai Mu has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cognitive Neuroscience. Recurrent topics in Dakai Mu's work include Virus-based gene therapy research (5 papers), Extracellular vesicles in disease (4 papers) and RNA Interference and Gene Delivery (3 papers). Dakai Mu is often cited by papers focused on Virus-based gene therapy research (5 papers), Extracellular vesicles in disease (4 papers) and RNA Interference and Gene Delivery (3 papers). Dakai Mu collaborates with scholars based in United States, France and Malaysia. Dakai Mu's co-authors include Casey A. Maguire, Bence György, Xandra O. Breakefield, Zachary Fitzpatrick, Yuanyu Hu, Bradley T. Hyman, Yan Sun, Wa Xian, Elisabeth M. Zielonka and Rania Dagher and has published in prestigious journals such as Cell, Biomaterials and Scientific Reports.

In The Last Decade

Dakai Mu

11 papers receiving 1.2k citations

Hit Papers

Distal Airway Stem Cells Yield Alveoli In Vitro and durin... 2011 2026 2016 2021 2011 100 200 300 400

Peers

Dakai Mu
Comparison fields: 5 of 88
  • Molecular Biology 796
  • Pulmonary and Respiratory Medicine 298
  • Genetics 260
  • Surgery 204
  • Cancer Research 180
Replace Huansheng Xu with:
Huansheng Xu United States
Rieko Ajima Japan
Diana C. Blaydon United Kingdom
Bishwanath Chatterjee United States
Tatiana Rokhlina United States
Zsuzsanna Bebök United States
Caroline Rooryck France
Kiyoshi Misawa Japan
Oréda Boussadia Germany
Sunny Y. Wong United States
Huansheng Xu United States View profile →
Citations per field, relative to Dakai Mu
Dakai Mu · 1×
Citations per year, relative to Dakai Mu
Dakai Mu · 1×

Countries citing papers authored by Dakai Mu

Since Specialization
Citations

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

Fields of papers citing papers by Dakai Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dakai Mu

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 23
3 128
4 182
5 44
6 93
7 50
8 162
9 3
10 1
11 128
12
Distal Airway Stem Cells Yield Alveoli In Vitro and during Lung Regeneration following H1N1 Influenza Infection breakdown →
422

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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