Kazuki Kodo

89 total papers · 2.1k total citations
49 papers, 1.5k citations indexed

About

Kazuki Kodo is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kazuki Kodo has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Epidemiology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kazuki Kodo's work include Congenital heart defects research (15 papers), Congenital Heart Disease Studies (13 papers) and Adipose Tissue and Metabolism (6 papers). Kazuki Kodo is often cited by papers focused on Congenital heart defects research (15 papers), Congenital Heart Disease Studies (13 papers) and Adipose Tissue and Metabolism (6 papers). Kazuki Kodo collaborates with scholars based in Japan, United States and India. Kazuki Kodo's co-authors include Joseph C. Wu, Sang-Ging Ong, Won Hee Lee, Hiroyuki Yamagishi, Joseph Gold, Rumiko Matsuoka, Takao Takahashi, Antje Ebert, Devaveena Dey and Michiko Furutani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Kazuki Kodo

47 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Kazuki Kodo 1.1k 329 313 304 253 49 1.5k
Haruhiko Yamada 970 0.9× 263 0.8× 170 0.5× 232 0.8× 198 0.8× 64 2.1k
Jianyun Yan 1.2k 1.1× 396 1.2× 382 1.2× 264 0.9× 327 1.3× 50 2.1k
Nicholas F. Paoni 829 0.8× 297 0.9× 653 2.1× 255 0.8× 403 1.6× 34 2.0k
Daisuke Taura 967 0.9× 407 1.2× 239 0.8× 244 0.8× 86 0.3× 59 2.2k
Joo‐ri Kim‐Kaneyama 850 0.8× 287 0.9× 134 0.4× 186 0.6× 231 0.9× 44 1.8k
Toshiyuki Yamagishi 1.4k 1.3× 288 0.9× 520 1.7× 233 0.8× 132 0.5× 49 1.8k
Ofelia M. Martínez-Estrada 1.2k 1.1× 336 1.0× 262 0.8× 323 1.1× 201 0.8× 28 2.2k
Pierluigi Carullo 1.1k 1.0× 172 0.5× 533 1.7× 121 0.4× 409 1.6× 35 1.9k
Ian Evans 912 0.8× 235 0.7× 192 0.6× 116 0.4× 282 1.1× 52 1.8k
Atsushi Kosaki 1.3k 1.2× 711 2.2× 280 0.9× 160 0.5× 145 0.6× 48 2.3k

Countries citing papers authored by Kazuki Kodo

Since Specialization
Citations

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

Fields of papers citing papers by Kazuki Kodo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuki Kodo

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Kodo. A scholar is included among the top collaborators of Kazuki Kodo 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 Kazuki Kodo. Kazuki Kodo 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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2026