Naoko Inoshima

911 total citations
8 papers, 508 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 508 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 Immunotherapy and Immune Responses (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). Naoko Inoshima is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). Naoko Inoshima collaborates with scholars based in Japan, Australia and China. Naoko Inoshima's co-authors include Juliane Bubeck Wardenburg, Ichiro Inoshima, Karen M. Frank, Georgia Wilke, Michael E. Powers, Yang Wang, Takahiro Minami, Koichi Takayama, Yoichi Nakanishi 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 499 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Naoko Inoshima Japan	6	247	226	145	78	65	8	508
Philipe Gobeil United Kingdom	7	133 0.5×	196 0.9×	121 0.8×	124 1.6×	22 0.3×	9	496
Christian Blank Germany	7	87 0.4×	148 0.7×	481 3.3×	93 1.2×	94 1.4×	8	709
Pramod Giri United States	11	252 1.0×	348 1.5×	286 2.0×	180 2.3×	27 0.4×	14	679
Nicole Meissner United States	17	148 0.6×	127 0.6×	294 2.0×	250 3.2×	55 0.8×	28	709
Allison W. Roberts United States	8	113 0.5×	276 1.2×	340 2.3×	109 1.4×	58 0.9×	11	699
Roland Tschismarov Austria	14	242 1.0×	303 1.3×	225 1.6×	103 1.3×	59 0.9×	16	667
Vera A. Tang Canada	13	75 0.3×	252 1.1×	186 1.3×	109 1.4×	85 1.3×	25	575
Martin L. Koser United States	12	123 0.5×	379 1.7×	67 0.5×	112 1.4×	24 0.4×	17	608
Christopher Sample United States	10	82 0.3×	148 0.7×	110 0.8×	90 1.2×	19 0.3×	17	369
Huabin Tian China	11	200 0.8×	347 1.5×	379 2.6×	152 1.9×	48 0.7×	14	678

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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8 of 8 papers shown

Inoshima, Ichiro, Naoko Inoshima, Georgia Wilke, et al.. (2011). A Staphylococcus aureus Pore-Forming Toxin Subverts the Activity of ADAM10 to Cause Lethal Infection. PubMed Central. 325 indexed citations

Inoshima, Ichiro, et al.. (2011). A Staphylococcus aureus pore-forming toxin subverts the activity of ADAM10 to cause lethal infection in mice. Nature Medicine. 17(10). 1310–1314. 15 indexed citations

Kitasato, Yasuhiko, Tomoaki Hoshino, Naoko Inoshima, et al.. (2009). Comparison of Aspergillus galactomannan antigen testing with a new cut‐off index and Aspergillus precipitating antibody testing for the diagnosis of chronic pulmonary aspergillosis. Respirology. 14(5). 701–708. 63 indexed citations

Ni, Jian, Koichi Takayama, Naoko Inoshima, et al.. (2008). Adenovirus-mediated inhibitor kappaB gene transfer improves the chemosensitivity to anticancer drugs in human lung cancer in vitro and in vivo.. PubMed. 28(2A). 601–8. 5 indexed citations

Ni, Jian, Koichi Takayama, Naoko Inoshima, et al.. (2005). Gene transfer of inhibitor kappaB in human lung cancer cell line NCI-H460 inhibits tumorigenesis and angiogenesis in vivo.. PubMed. 25(1A). 69–77. 9 indexed citations

Hara, Nobuyuki, Koichi Takano, & Naoko Inoshima. (2002). [Epidemiological trends in lung cancer in Japan].. PubMed. 60 Suppl 5. 29–34. 1 indexed citations

Inoshima, Naoko, Yoichi Nakanishi, Takahiro Minami, et al.. (2002). The influence of dendritic cell infiltration and vascular endothelial growth factor expression on the prognosis of non-small cell lung cancer.. PubMed. 8(11). 3480–6. 87 indexed citations

Inoshima, Naoko, et al.. (2001). Inverse correlation between the expression of vascular endothelial growth factor and infiltration of dendritic cells and their influence on the prognosis of non-small cell lung cancer. European Journal of Cancer. 37. S119–S119. 3 indexed citations

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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