Takuya Kobayashi

190 total papers · 3.3k total citations
100 papers, 2.6k citations indexed

About

Takuya Kobayashi is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Surgery. According to data from OpenAlex, Takuya Kobayashi has authored 100 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 12 papers in Surgery. Recurrent topics in Takuya Kobayashi's work include Semiconductor materials and devices (10 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Dental Implant Techniques and Outcomes (5 papers). Takuya Kobayashi is often cited by papers focused on Semiconductor materials and devices (10 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Dental Implant Techniques and Outcomes (5 papers). Takuya Kobayashi collaborates with scholars based in Japan, United States and United Kingdom. Takuya Kobayashi's co-authors include Kazuichi Maruyama, Junichi Koike, Masato Suzuki, Hiroyuki Watanabe, Kenji Higashi, Toshiji Mukai, Julia Lobotsky, Charles W. Lloyd, Hikaru Kobayashi and Asuha and has published in prestigious journals such as Circulation, Blood and Applied Physics Letters.

In The Last Decade

Takuya Kobayashi

93 papers receiving 2.6k citations

Hit Papers

The activity of non-basal... 2003 2026 2010 2018 2003 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takuya Kobayashi 1.4k 1.4k 821 353 288 100 2.6k
Yoshihiro Terada 509 0.4× 1.0k 0.8× 1.0k 1.2× 339 1.0× 214 0.7× 188 3.1k
Wei Guo 970 0.7× 2.4k 1.8× 1.5k 1.8× 807 2.3× 373 1.3× 157 3.1k
T. Inoue 534 0.4× 2.8k 2.1× 2.4k 2.9× 284 0.8× 1.4k 5.0× 252 4.8k
Zhang‐Zhi Shi 2.0k 1.4× 1.8k 1.3× 1.6k 2.0× 390 1.1× 213 0.7× 123 2.8k
Qingfen Li 382 0.3× 441 0.3× 572 0.7× 78 0.2× 181 0.6× 107 2.1k
Tōru Noguchi 264 0.2× 500 0.4× 782 1.0× 81 0.2× 304 1.1× 147 2.3k
Yang Ju 320 0.2× 570 0.4× 698 0.9× 102 0.3× 422 1.5× 235 3.9k
Gaétan Laroche 1.4k 1.0× 281 0.2× 772 0.9× 83 0.2× 301 1.0× 185 4.7k
Yi‐Xian Qin 1.1k 0.8× 666 0.5× 895 1.1× 49 0.1× 179 0.6× 153 5.1k
Shun Xu 748 0.5× 965 0.7× 1000 1.2× 246 0.7× 218 0.8× 82 2.1k

Countries citing papers authored by Takuya Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Kobayashi

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

All Works

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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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