Naoko Inoshima

17 total papers · 909 total citations
8 papers, 503 citations indexed

About

Naoko Inoshima is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Naoko Inoshima has authored 8 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Naoko Inoshima's work include NF-κB Signaling Pathways (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Naoko Inoshima is often cited by papers focused on NF-κB Signaling Pathways (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Naoko Inoshima collaborates with scholars based in Japan, United States and China. Naoko Inoshima's co-authors include Georgia Wilke, Ichiro Inoshima, Juliane Bubeck Wardenburg, Karen M. Frank, Yang Wang, Michael E. Powers, Yoichi Nakanishi, Takahiro Minami, Koichi Takayama and Nobuyuki Hara and has published in prestigious journals such as Nature Medicine, European Journal of Cancer and Respirology.

In The Last Decade

Naoko Inoshima

8 papers receiving 494 citations

Author Peers

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

Author						Papers	Cites
Naoko Inoshima	242	226	145	76	65	8	503
Kipyegon Kitur	123 0.5×	319 1.4×	218 1.5×	74 1.0×	28 0.4×	7	497
Sarah Wachtel	144 0.6×	382 1.7×	219 1.5×	87 1.1×	19 0.3×	8	600
Ryan G. Gaudet	131 0.5×	184 0.8×	232 1.6×	95 1.3×	33 0.5×	11	561
Peter M. Broglie	154 0.6×	370 1.6×	264 1.8×	62 0.8×	29 0.4×	8	617
Sheila S. Reilly	143 0.6×	199 0.9×	91 0.6×	163 2.1×	34 0.5×	14	568
Katrina B. Mar	187 0.8×	201 0.9×	217 1.5×	118 1.6×	43 0.7×	14	506
Philipe Gobeil	131 0.5×	195 0.9×	121 0.8×	123 1.6×	22 0.3×	9	494
Shariq M. Usmani	106 0.4×	153 0.7×	254 1.8×	108 1.4×	103 1.6×	17	613
Laurene S. Cheung	197 0.8×	254 1.1×	298 2.1×	110 1.4×	106 1.6×	14	584
Alison Coady	101 0.4×	350 1.5×	105 0.7×	131 1.7×	38 0.6×	17	597

Countries citing papers authored by Naoko Inoshima

Since Specialization

Citations

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

Fields of papers citing papers by Naoko Inoshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Inoshima

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