Yu Kakimoto

878 total citations
41 papers, 498 citations indexed

About

Yu Kakimoto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Yu Kakimoto has authored 41 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Genetics. Recurrent topics in Yu Kakimoto's work include Molecular Biology Techniques and Applications (6 papers), MicroRNA in disease regulation (5 papers) and Genetic Syndromes and Imprinting (3 papers). Yu Kakimoto is often cited by papers focused on Molecular Biology Techniques and Applications (6 papers), MicroRNA in disease regulation (5 papers) and Genetic Syndromes and Imprinting (3 papers). Yu Kakimoto collaborates with scholars based in Japan, Malaysia and India. Yu Kakimoto's co-authors include Motoki Osawa, Eriko Ochiai, Hiroshi Kamiguchi, Masayuki Tanaka, Tatsuaki Tsuruyama, Fumiko Satoh, Keiji Tamaki, Hirokazu Kotani, Hitoshi Abiru and Noboru Kawabe and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and PEDIATRICS.

In The Last Decade

Yu Kakimoto

38 papers receiving 493 citations

Peers

Yu Kakimoto
Comparison fields: 5 of 95
  • Molecular Biology 231
  • Cancer Research 122
  • Cardiology and Cardiovascular Medicine 91
  • Radiology, Nuclear Medicine and Imaging 53
  • Epidemiology 46
Replace Shufeng Fan with:
Shufeng Fan China
Othon J. Mena United States
Anne White United States
Shin Hye Kim South Korea
María José Martínez Spain
Amy Zhou United States
Tomomi Maeda Japan
Rene Cortese United States
Yuhong Xie China
Patricia Morán Losada Germany
Shufeng Fan China View profile →
Citations per field, relative to Yu Kakimoto
Yu Kakimoto · 1×
Citations per year, relative to Yu Kakimoto
Yu Kakimoto · 1×

Countries citing papers authored by Yu Kakimoto

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kakimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Kakimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Kakimoto. A scholar is included among the top collaborators of Yu Kakimoto 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 Yu Kakimoto. Yu Kakimoto 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 0
2 1
3 1
4 1
5 3
6 0
7 11
8 1
9 1
10 8
11 3
12 3
13 64
14 2
15 15
16 38
17 8
18 43
19 9
20 7

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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