Takeshi Maruyama

5.0k citations
84 papers · 2.9k indexed · 1 hit paper · h-index 25
Topics
Reconstructive Surgery and Microvascular Techniques (8 papers)Head and Neck Cancer Studies (7 papers)Cellular Mechanics and Interactions (5 papers)

In The Last Decade

Takeshi Maruyama

80 papers receiving 2.8k citations

Hit Papers

Increasing the efficiency of precise genome editing with ...20152026201820222015250500750

Peers

Takeshi Maruyama
Comparison fields: 5 of 128
  • Molecular Biology 1.8k
  • Cell Biology 497
  • Genetics 386
  • Epidemiology 278
  • Neurology 263
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Xi Shi China
Dmitry Guschin United States
Shondra M. Pruett‐Miller United States
Raymond J. Monnat United States
Katherine Donovan United States
George E. Katibah United States
Xianming Mo China
Weihong Xu United States
Mazhar Adli United States
Takeshi Maruyama relative to Xi Shi China Xi Shi's profile →
Citations per field
00.5×5.2×
Xi Shi · 1×
Citations per year

Countries citing papers authored by Takeshi Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Maruyama. A scholar is included among the top collaborators of Takeshi Maruyama 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 Takeshi Maruyama. Takeshi Maruyama 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 0
2 8
3 31
4 23
5 130
6 71
7
Increasing the efficiency of precise genome editing with CRISPR-Cas9 by inhibition of nonhomologous end joining
17
8 33
9 8
10 36
11 2
12 31
13 8
14 47
15 0
16 15
17 7
18 1
19 5
20
A Relation between the Shape of High Frequency Heating Coil and the Temperature Distribution of Specimen in Thermal Fatigue Test
1

About Takeshi Maruyama

Takeshi Maruyama is a scholar working on Otorhinolaryngology, Cell Biology and Insect Science, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (8 papers), Head and Neck Cancer Studies (7 papers) and Cellular Mechanics and Interactions (5 papers). The work is most often cited by research in Aging (121 citations), Business and International Management (89 citations) and Cell Biology (497 citations). Takeshi Maruyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hidde L. Ploegh, Stephanie K. Dougan, Angelina M. Bilate, Matthias C. Truttmann, Jessica R. Ingram, Hidenori Ichijo, Hideki Nishitoh, Hisae Kadowaki, Atsushi Matsuzawa and Kohsuke Takeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

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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