Naomi Kudo

117 total papers · 3.5k total citations
76 papers, 2.8k citations indexed

About

Naomi Kudo is a scholar working on Molecular Biology, Physiology and Environmental Chemistry. According to data from OpenAlex, Naomi Kudo has authored 76 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 20 papers in Physiology and 15 papers in Environmental Chemistry. Recurrent topics in Naomi Kudo's work include Peroxisome Proliferator-Activated Receptors (28 papers), Per- and polyfluoroalkyl substances research (15 papers) and Liver Disease Diagnosis and Treatment (10 papers). Naomi Kudo is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (28 papers), Per- and polyfluoroalkyl substances research (15 papers) and Liver Disease Diagnosis and Treatment (10 papers). Naomi Kudo collaborates with scholars based in Japan, United Kingdom and Canada. Naomi Kudo's co-authors include Yoichi Kawashima, Amy Barr, Gary D. Lopaschuk, Masanori Katakura, Atsushi Mitsumoto, Snehal Desai, Rick L. Barr, Yasunori Sato, Érika Suzuki and Kazunori Katayama and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Chemosphere.

In The Last Decade

Naomi Kudo

73 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Naomi Kudo 1.4k 1.1k 962 443 340 76 2.8k
Xiongjie Shi 996 0.7× 1.7k 1.5× 838 0.9× 274 0.6× 293 0.9× 49 3.6k
Min Nian 604 0.4× 580 0.5× 429 0.4× 79 0.2× 240 0.7× 37 1.9k
Yoichi Kawashima 1.4k 1.0× 1.1k 1.0× 986 1.0× 318 0.7× 84 0.2× 107 3.0k
Ling Song 270 0.2× 1.3k 1.2× 838 0.9× 326 0.7× 122 0.4× 101 3.6k
B.Dean Nelson 643 0.5× 493 0.5× 2.3k 2.4× 717 1.6× 158 0.5× 121 3.8k
Jennifer J. Schlezinger 452 0.3× 1.7k 1.6× 872 0.9× 293 0.7× 72 0.2× 76 3.3k
Mikhail Y. Golovko 744 0.5× 529 0.5× 787 0.8× 605 1.4× 109 0.3× 75 2.8k
Gregory S. Travlos 568 0.4× 820 0.8× 468 0.5× 146 0.3× 77 0.2× 67 2.5k
Katsunobu Takenaka 390 0.3× 576 0.5× 639 0.7× 148 0.3× 60 0.2× 70 2.2k
Judith E. Schmid 1.2k 0.9× 1.5k 1.4× 536 0.6× 147 0.3× 123 0.4× 71 3.0k

Countries citing papers authored by Naomi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Kudo. A scholar is included among the top collaborators of Naomi Kudo 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 Naomi Kudo. Naomi Kudo 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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