Naoko Kikkawa

124 total papers · 3.2k total citations
68 papers, 2.7k citations indexed

About

Naoko Kikkawa is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Naoko Kikkawa has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 43 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Naoko Kikkawa's work include MicroRNA in disease regulation (39 papers), Cancer-related molecular mechanisms research (31 papers) and RNA modifications and cancer (26 papers). Naoko Kikkawa is often cited by papers focused on MicroRNA in disease regulation (39 papers), Cancer-related molecular mechanisms research (31 papers) and RNA modifications and cancer (26 papers). Naoko Kikkawa collaborates with scholars based in Japan and United States. Naoko Kikkawa's co-authors include Naohiko Seki, Toyoyuki Hanazawa, Yoshitaka Okamoto, Masayuki Nakagawa, Hideki Enokida, Takeshi Chiyomaru, Lisa Fujimura, Nijiro Nohata, Keiichi Koshizuka and Hirofumi Yoshino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Naoko Kikkawa

68 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Naoko Kikkawa 2.2k 2.0k 331 176 161 68 2.7k
Beiqin Yu 2.0k 0.9× 1.6k 0.8× 469 1.4× 264 1.5× 135 0.8× 64 2.7k
Shuichi Tatarano 2.0k 0.9× 1.8k 0.9× 219 0.7× 275 1.6× 92 0.6× 63 2.5k
Nijiro Nohata 3.1k 1.4× 2.6k 1.3× 397 1.2× 314 1.8× 195 1.2× 62 3.7k
Xiqiang Liu 1.9k 0.9× 1.6k 0.8× 527 1.6× 198 1.1× 101 0.6× 64 2.8k
Kazumori Kawakami 2.1k 1.0× 1.5k 0.8× 258 0.8× 186 1.1× 159 1.0× 50 2.7k
Sabrina Battista 2.0k 0.9× 1.2k 0.6× 447 1.4× 194 1.1× 182 1.1× 46 2.9k
Agnieszka Bronisz 2.5k 1.1× 1.7k 0.9× 533 1.6× 162 0.9× 111 0.7× 52 3.1k
Ryutaro Uchi 1.7k 0.8× 1.4k 0.7× 467 1.4× 222 1.3× 120 0.7× 62 2.3k
Zhaoqun Deng 3.1k 1.4× 2.4k 1.2× 261 0.8× 159 0.9× 92 0.6× 106 3.8k
Mario Acunzo 2.3k 1.0× 1.9k 1.0× 238 0.7× 160 0.9× 152 0.9× 48 2.8k

Countries citing papers authored by Naoko Kikkawa

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Kikkawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Kikkawa

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