Yukari Kondo

58 total papers · 804 total citations
38 papers, 675 citations indexed

About

Yukari Kondo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Yukari Kondo has authored 38 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Yukari Kondo's work include Neuropeptides and Animal Physiology (6 papers), Nerve injury and regeneration (5 papers) and Aldose Reductase and Taurine (4 papers). Yukari Kondo is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Nerve injury and regeneration (5 papers) and Aldose Reductase and Taurine (4 papers). Yukari Kondo collaborates with scholars based in Japan, United States and Türkiye. Yukari Kondo's co-authors include Ikuko Nagatsu, Toshiharu Nagatsu, Nobuyuki Karasawa, Shinobu Inagaki, Tadafumi Kato, Masami Yoshida, Maria Spatz, Takeshi Kato, Sadakazu Ejiri and Hidehiro Ozawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Neurochemistry.

In The Last Decade

Yukari Kondo

36 papers receiving 637 citations

Author Peers

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

Author Last Decade Papers Cites
Yukari Kondo 326 266 98 96 90 38 675
Hubert Eng 291 0.9× 246 0.9× 93 0.9× 109 1.1× 98 1.1× 16 749
Michael Sawchuk 305 0.9× 320 1.2× 93 0.9× 155 1.6× 86 1.0× 22 695
M. Manier 431 1.3× 296 1.1× 160 1.6× 100 1.0× 54 0.6× 19 717
Terence H. Williams 348 1.1× 274 1.0× 57 0.6× 126 1.3× 98 1.1× 36 727
Chang Man Ha 181 0.6× 343 1.3× 81 0.8× 140 1.5× 78 0.9× 40 729
Hidehiko Ochiai 301 0.9× 169 0.6× 106 1.1× 142 1.5× 74 0.8× 27 566
Oğuz Gözen 254 0.8× 380 1.4× 48 0.5× 119 1.2× 75 0.8× 27 709
Patricia Marshall 379 1.2× 385 1.4× 54 0.6× 81 0.8× 46 0.5× 24 791
Sehyoun Yoon 223 0.7× 300 1.1× 67 0.7× 99 1.0× 78 0.9× 29 666
David González‐Forero 430 1.3× 328 1.2× 146 1.5× 154 1.6× 104 1.2× 26 782

Countries citing papers authored by Yukari Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Yukari Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukari Kondo

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