Junko Narukawa

25 total papers · 1.3k total citations
19 papers, 936 citations indexed

About

Junko Narukawa is a scholar working on Molecular Biology, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junko Narukawa has authored 19 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Insect Science and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junko Narukawa's work include Neurobiology and Insect Physiology Research (7 papers), Silk-based biomaterials and applications (6 papers) and Invertebrate Immune Response Mechanisms (5 papers). Junko Narukawa is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Silk-based biomaterials and applications (6 papers) and Invertebrate Immune Response Mechanisms (5 papers). Junko Narukawa collaborates with scholars based in Japan, United States and Thailand. Junko Narukawa's co-authors include Yutaka Banno, Kimiko Yamamoto, Kazuei Mita, Hideki Sezutsu, Keiko Kadono‐Okuda, Toshiki Tamura, Marian R. Goldsmith, Keiro Uchino, Yoshitaka Suetsugu and Isao Kobayashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Junko Narukawa

18 papers receiving 914 citations

Author Peers

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

Author Last Decade Papers Cites
Junko Narukawa 483 478 289 178 176 19 936
Masatoshi Iga 438 0.9× 432 0.9× 563 1.9× 94 0.5× 280 1.6× 27 925
Xiaofeng Zhou 421 0.9× 426 0.9× 713 2.5× 111 0.6× 402 2.3× 9 1.1k
Jeanette E. Natzle 603 1.2× 189 0.4× 440 1.5× 98 0.6× 226 1.3× 20 1.1k
Geoff Richards 616 1.3× 396 0.8× 755 2.6× 96 0.5× 369 2.1× 31 1.2k
Yoshitaka Suetsugu 400 0.8× 510 1.1× 272 0.9× 228 1.3× 259 1.5× 25 913
Andrew J. Andres 537 1.1× 184 0.4× 635 2.2× 70 0.4× 217 1.2× 19 1.0k
Mari Kamba 502 1.0× 268 0.6× 261 0.9× 61 0.3× 203 1.2× 10 831
Carol J. Chihara 416 0.9× 320 0.7× 601 2.1× 51 0.3× 348 2.0× 14 909
Tetsuya Ohtaki 224 0.5× 731 1.5× 720 2.5× 148 0.8× 373 2.1× 44 1.1k
Craig T. Woodard 401 0.8× 271 0.6× 713 2.5× 67 0.4× 282 1.6× 21 1.0k

Countries citing papers authored by Junko Narukawa

Since Specialization
Citations

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

Fields of papers citing papers by Junko Narukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Narukawa

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