Seishiro Naito

59 total papers · 678 total citations
45 papers, 550 citations indexed

About

Seishiro Naito is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Seishiro Naito has authored 45 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Molecular Biology. Recurrent topics in Seishiro Naito's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (12 papers) and Immune Response and Inflammation (7 papers). Seishiro Naito is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Immunotherapy and Immune Responses (12 papers) and Immune Response and Inflammation (7 papers). Seishiro Naito collaborates with scholars based in Japan, Netherlands and Germany. Seishiro Naito's co-authors include Tetsuya Uchida, Katsutoshi Komuro, Kazunari Yamaguchi, Maiko Taneichi, Masahito Mori, Isao Hamaguchi, Takuo Mizukami, Yoshio Nakano, Jun‐ichi Maeyama and Masaki Ochiai and has published in prestigious journals such as Blood, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Seishiro Naito

45 papers receiving 540 citations

Author Peers

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

Author						Papers	Cites
Seishiro Naito	278	183	113	76	75	45	550
Aleksandra Inić‐Kanada	169 0.6×	115 0.6×	72 0.6×	30 0.4×	20 0.3×	53	526
Mathea Allansmith	238 0.9×	62 0.3×	71 0.6×	82 1.1×	42 0.6×	26	604
Tamaki Sumi	201 0.7×	119 0.7×	22 0.2×	111 1.5×	43 0.6×	45	579
Claudia M. Trujillo‐Vargas	229 0.8×	105 0.6×	42 0.4×	54 0.7×	62 0.8×	31	574
Sonya Cyr	169 0.6×	79 0.4×	159 1.4×	107 1.4×	123 1.6×	30	484
C. Pan	243 0.9×	111 0.6×	96 0.8×	43 0.6×	31 0.4×	41	612
D.M. Moran	63 0.2×	123 0.7×	53 0.5×	190 2.5×	99 1.3×	33	467
Sybil M. McAleese	102 0.4×	179 1.0×	39 0.3×	127 1.7×	133 1.8×	22	519
R. W. Ferraresi	210 0.8×	118 0.6×	59 0.5×	37 0.5×	23 0.3×	27	502
Mrinmoy Das	317 1.1×	119 0.7×	80 0.7×	60 0.8×	30 0.4×	27	616

Countries citing papers authored by Seishiro Naito

Since Specialization

Citations

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

Fields of papers citing papers by Seishiro Naito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seishiro Naito

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