Naoko Imanaka

9 total papers · 1.7k total citations
5 papers, 642 citations indexed

About

Naoko Imanaka is a scholar working on Molecular Biology, Epidemiology and Rheumatology. According to data from OpenAlex, Naoko Imanaka has authored 5 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Rheumatology. Recurrent topics in Naoko Imanaka's work include Systemic Lupus Erythematosus Research (2 papers), Hepatitis C virus research (2 papers) and Hepatitis B Virus Studies (1 paper). Naoko Imanaka is often cited by papers focused on Systemic Lupus Erythematosus Research (2 papers), Hepatitis C virus research (2 papers) and Hepatitis B Virus Studies (1 paper). Naoko Imanaka collaborates with scholars based in United States, Australia and Belgium. Naoko Imanaka's co-authors include Charles M. Rice, John W. Schoggins, Alexander Ploß, Marcus Dorner, Damian J. Junk, Mark W. Jackson, HyeonJoo Cheon, Paul J. Hertzog, Elise Holvey-Bates and Samuel C. Forster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The EMBO Journal.

In The Last Decade

Naoko Imanaka

5 papers receiving 638 citations

Hit Papers

IFNβ-dependent increases ... 2013 2026 2017 2021 2013 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Naoko Imanaka 294 265 181 121 120 5 642
Kelechi Chikere 336 1.1× 246 0.9× 60 0.3× 185 1.5× 162 1.4× 9 731
Adrijana Stefanovic 437 1.5× 318 1.2× 73 0.4× 121 1.0× 144 1.2× 5 664
Steve C. Ding 476 1.6× 432 1.6× 72 0.4× 120 1.0× 125 1.0× 10 764
Albert C. Huang 338 1.1× 198 0.7× 95 0.5× 83 0.7× 76 0.6× 6 576
Kate M. Franz 416 1.4× 232 0.9× 66 0.4× 194 1.6× 94 0.8× 8 604
Rebecca J. Nusbaum 339 1.2× 237 0.9× 68 0.4× 214 1.8× 207 1.7× 13 744
Christian Blank 482 1.6× 148 0.6× 94 0.5× 87 0.7× 93 0.8× 8 709
Jiann-Kae Luo 413 1.4× 271 1.0× 185 1.0× 49 0.4× 105 0.9× 7 627
Aurélie Bisiaux 460 1.6× 249 0.9× 91 0.5× 139 1.1× 192 1.6× 8 788
PH Krammer 382 1.3× 420 1.6× 103 0.6× 69 0.6× 144 1.2× 6 772

Countries citing papers authored by Naoko Imanaka

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Imanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Imanaka

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