Naoe Goto

107 total papers · 1.6k total citations
66 papers, 1.2k citations indexed

About

Naoe Goto is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Naoe Goto has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pathology and Forensic Medicine, 22 papers in Oncology and 15 papers in Immunology. Recurrent topics in Naoe Goto's work include Lymphoma Diagnosis and Treatment (35 papers), Viral-associated cancers and disorders (12 papers) and Tryptophan and brain disorders (11 papers). Naoe Goto is often cited by papers focused on Lymphoma Diagnosis and Treatment (35 papers), Viral-associated cancers and disorders (12 papers) and Tryptophan and brain disorders (11 papers). Naoe Goto collaborates with scholars based in Japan, United States and Canada. Naoe Goto's co-authors include Hisashi Tsurumi, Hisataka Moriwaki, Tsuyoshi Takami, Nobuhiro Kanemura, Takeshi Hara, Senji Kasahara, Masahito Shimizu, Toshiki Yamada, Ichiro Yasuda and Michio Sawada and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Naoe Goto

65 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Naoe Goto 468 395 238 203 199 66 1.2k
Nobuhiro Kanemura 346 0.7× 328 0.8× 199 0.8× 139 0.7× 248 1.2× 69 1.0k
Senji Kasahara 423 0.9× 431 1.1× 260 1.1× 119 0.6× 170 0.9× 85 1.3k
Martin Krakauer 619 1.3× 300 0.8× 551 2.3× 119 0.6× 254 1.3× 48 1.4k
Susanne Pettersson 246 0.5× 327 0.8× 445 1.9× 94 0.5× 462 2.3× 62 1.5k
Giuseppe Passiu 213 0.5× 142 0.4× 362 1.5× 85 0.4× 224 1.1× 73 1.4k
Motoo Nomura 211 0.5× 854 2.2× 146 0.6× 433 2.1× 393 2.0× 75 1.5k
Ming Jiang 360 0.8× 402 1.0× 209 0.9× 135 0.7× 238 1.2× 66 1.1k
Kwi Young Kang 143 0.3× 108 0.3× 311 1.3× 144 0.7× 242 1.2× 66 1.3k
Atsushi Oyama 405 0.9× 314 0.8× 202 0.8× 166 0.8× 144 0.7× 73 1.0k
Theodoros Michelakos 73 0.2× 743 1.9× 227 1.0× 194 1.0× 200 1.0× 43 1.2k

Countries citing papers authored by Naoe Goto

Since Specialization
Citations

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

Fields of papers citing papers by Naoe Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoe Goto

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