Maiko Kobayashi

75 total papers · 2.8k total citations
50 papers, 2.2k citations indexed

About

Maiko Kobayashi is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Immunology. According to data from OpenAlex, Maiko Kobayashi has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Health, Toxicology and Mutagenesis and 8 papers in Immunology. Recurrent topics in Maiko Kobayashi's work include Pesticide Exposure and Toxicity (8 papers), Urban Green Space and Health (6 papers) and Immune Cell Function and Interaction (6 papers). Maiko Kobayashi is often cited by papers focused on Pesticide Exposure and Toxicity (8 papers), Urban Green Space and Health (6 papers) and Immune Cell Function and Interaction (6 papers). Maiko Kobayashi collaborates with scholars based in Japan, United States and Canada. Maiko Kobayashi's co-authors include Tomoyuki Kawada, Takahide Kagawa, Yoshifumi Miyazaki, Masao Katsumata, Shigeyoshi Kumeda, Takashi Miura, Michiko Imai, Harumi Ikei, Chorong Song and Tetsuya Ohira and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Agricultural and Food Chemistry and Journal of Investigative Dermatology.

In The Last Decade

Maiko Kobayashi

48 papers receiving 2.1k citations

Hit Papers

A forest bathing trip inc... 2008 2026 2014 2020 2008 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Maiko Kobayashi 1.3k 332 240 210 191 50 2.2k
Masao Katsumata 908 0.7× 228 0.7× 173 0.7× 173 0.8× 149 0.8× 58 1.8k
Sara Warber 1.3k 1.0× 846 2.5× 446 1.9× 36 0.2× 236 1.2× 62 3.0k
Sanae Fukuda 336 0.3× 140 0.4× 196 0.8× 110 0.5× 75 0.4× 63 2.2k
Nancy Fiedler 876 0.7× 463 1.4× 120 0.5× 244 1.2× 121 0.6× 100 2.7k
Francisco R. Nieto 528 0.4× 161 0.5× 74 0.3× 65 0.3× 178 0.9× 40 2.3k
Peter Wallner 825 0.7× 193 0.6× 51 0.2× 52 0.2× 218 1.1× 75 1.7k
Genxiang Mao 379 0.3× 177 0.5× 52 0.2× 36 0.2× 73 0.4× 97 2.9k
Douglas Hanes 239 0.2× 69 0.2× 111 0.5× 49 0.2× 131 0.7× 70 1.6k
Lester D. Grant 1.1k 0.8× 76 0.2× 316 1.3× 52 0.2× 139 0.7× 56 2.8k
Hirofumi Inagaki 247 0.2× 114 0.3× 78 0.3× 35 0.2× 65 0.3× 56 2.1k

Countries citing papers authored by Maiko Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Kobayashi

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