Naoki Kurihara

618 total citations
9 papers, 486 citations indexed

About

Naoki Kurihara is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Naoki Kurihara has authored 9 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Naoki Kurihara's work include Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (2 papers) and Influenza Virus Research Studies (2 papers). Naoki Kurihara is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (2 papers) and Influenza Virus Research Studies (2 papers). Naoki Kurihara collaborates with scholars based in Japan and United States. Naoki Kurihara's co-authors include Hiroshi Kido, Trong Quang Le, Mihiro Yano, Siye Wang, Youssouf Cissé, Junji Chida, Hiroshi Yamada, Atsushi Mori, Issei Imoto and Satoshi Ohashi and has published in prestigious journals such as FEBS Letters, The Journal of Infectious Diseases and IEEE Access.

In The Last Decade

Naoki Kurihara

8 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Naoki Kurihara	200	181	129	66	52	9	486
Johannes Lampe	186 0.9×	145 0.8×	85 0.7×	52 0.8×	77 1.5×	17	424
J. Robert Chang	201 1.0×	64 0.4×	130 1.0×	57 0.9×	30 0.6×	12	538
Fumitaka Sato	217 1.1×	90 0.5×	261 2.0×	64 1.0×	44 0.8×	40	714
Carson E. Moseley	181 0.9×	229 1.3×	448 3.5×	69 1.0×	49 0.9×	17	777
Yongwei Qin	237 1.2×	97 0.5×	169 1.3×	85 1.3×	33 0.6×	43	619
Zhilong Chen	182 0.9×	127 0.7×	78 0.6×	44 0.7×	26 0.5×	25	417
Anik St‐Denis	287 1.4×	133 0.7×	120 0.9×	38 0.6×	21 0.4×	10	509
Marco Boccitto	328 1.6×	69 0.4×	123 1.0×	51 0.8×	38 0.7×	13	572
Ellen L. Mercado	230 1.1×	104 0.6×	88 0.7×	19 0.3×	82 1.6×	4	480
Kenneth Cronin	313 1.6×	238 1.3×	147 1.1×	76 1.2×	142 2.7×	17	905

Countries citing papers authored by Naoki Kurihara

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Kurihara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kurihara

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kurihara. A scholar is included among the top collaborators of Naoki Kurihara 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 Naoki Kurihara. Naoki Kurihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Sakai, Keisuke, et al.. (2023). An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM. IEEE Access. 11. 111389–111401.

Wang, Siye, Trong Quang Le, Naoki Kurihara, et al.. (2010). Influenza Virus–Cytokine‐Protease Cycle in the Pathogenesis of Vascular Hyperpermeability in Severe Influenza. The Journal of Infectious Diseases. 202(7). 991–1001. 158 indexed citations

Koga, Keiko, Atsushi Mori, Satoshi Ohashi, et al.. (2006). ¹H MRS identifies lactate rise in the striatum of MPTP‐treated C57BL/6 mice. European Journal of Neuroscience. 23(4). 1077–1081. 37 indexed citations

Ohashi, Satoshi, Atsushi Mori, Naoki Kurihara, Yasuhide Mitsumoto, & Masami Nakai. (2006). Age-related severity of dopaminergic neurodegeneration to MPTP neurotoxicity causes motor dysfunction in C57BL/6 mice. Neuroscience Letters. 401(1-2). 183–187. 32 indexed citations

Matsuyama, Shogo, Nobutaka Doe, Naoki Kurihara, et al.. (2005). Spatial Learning of Mice Lacking a Neuron-Specific Epidermal Growth Factor Family Protein, NELL2. Journal of Pharmacological Sciences. 98(3). 239–243. 20 indexed citations

Yamada, Hiroshi, et al.. (2004). Mitochondrial targeting sequence of the influenza A virus PB1‐F2 protein and its function in mitochondria. FEBS Letters. 578(3). 331–336. 106 indexed citations

Yoshida, Mitsuaki A., et al.. (2000). Molecular Cytogenetic Analysis of 17 Renal Cancer Cell Lines: Increased Copy Number at 5q31‐33 in Cell Lines from Nonpapillary Carcinomas. Japanese Journal of Cancer Research. 91(2). 156–163. 23 indexed citations

Pimkhaokham, Atiphan, Yutaka Shimada, Naoki Kurihara, et al.. (2000). Nonrandom Chromosomal Imbalances in Esophageal Squamous Cell Carcinoma Cell Lines: Possible Involvement of the ATF3 and CENPF Genes in the 1q32 Amplicon. Japanese Journal of Cancer Research. 91(11). 1126–1133. 66 indexed citations

Kurihara, Naoki, et al.. (2000). CD44 is a potential target of amplification within the 11p13 amplicon detected in gastric cancer cell lines. Genes Chromosomes and Cancer. 29(4). 315–324. 44 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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