Takashi Okada

6.9k total citations
213 papers, 5.3k citations indexed

About

Takashi Okada is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Takashi Okada has authored 213 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 86 papers in Genetics and 25 papers in Genetics. Recurrent topics in Takashi Okada's work include Virus-based gene therapy research (78 papers), RNA Interference and Gene Delivery (35 papers) and Muscle Physiology and Disorders (27 papers). Takashi Okada is often cited by papers focused on Virus-based gene therapy research (78 papers), RNA Interference and Gene Delivery (35 papers) and Muscle Physiology and Disorders (27 papers). Takashi Okada collaborates with scholars based in Japan, United States and United Kingdom. Takashi Okada's co-authors include Keiya Ozawa, Hiroaki Mizukami, Akihiro Kume, Shin’ichi Takeda, Yuko Nitahara‐Kasahara, Yutaka Hanazono, Masashi Urabe, Makoto Tachibana, Ryosuke Uchibori and Shin‐ichi Muramatsu and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Takashi Okada

205 papers receiving 5.2k citations

Peers

Takashi Okada
Comparison fields: 5 of 133
  • Molecular Biology 2.9k
  • Genetics 1.4k
  • Cellular and Molecular Neuroscience 895
  • Genetics 805
  • Immunology 557
Noriko Miyake Japan
Baoli Yang United States
Lin Gao China
Klaus Addicks Germany
Warren G. Tourtellotte United States
Miguel Lafarga Spain
Joséphine Nalbantoglu Canada
Dennis E. Bulman Canada
Roberto Ravazzolo Italy
Rashmi Kothary Canada
Noriko Miyake Japan View profile →
Citations per field, relative to Takashi Okada
Takashi Okada · 1×
Citations per year, relative to Takashi Okada
Takashi Okada · 1×

Countries citing papers authored by Takashi Okada

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Okada. A scholar is included among the top collaborators of Takashi Okada 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 Takashi Okada. Takashi Okada 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
# Work Indexed citations
1 2
2 8
3 1
4 0
5 3
6 0
7 10
8 3
9 15
10 7
11 10
12 45
13 61
14 69
15 97
16
Characteristic Ligand Substructures to Dopamine Receptors
1
17 61
18 10
19
Finding Discrimination Rules Using the Cascade Model
1
20
Sum of Squares Decomposition for Categorical Data
4

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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