Norio Itokawa

258 total papers · 3.9k total citations
53 papers, 514 citations indexed

About

Norio Itokawa is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Norio Itokawa has authored 53 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 35 papers in Hepatology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Norio Itokawa's work include Liver Disease Diagnosis and Treatment (31 papers), Hepatitis C virus research (22 papers) and Hepatitis B Virus Studies (12 papers). Norio Itokawa is often cited by papers focused on Liver Disease Diagnosis and Treatment (31 papers), Hepatitis C virus research (22 papers) and Hepatitis B Virus Studies (12 papers). Norio Itokawa collaborates with scholars based in Japan, United States and South Korea. Norio Itokawa's co-authors include Masanori Atsukawa, Chisa Kondo, Akihito Tsubota, Katsuhiko Iwakiri, Taeang Arai, Tomomi Okubo, Yūji Yoshida, Noritomo Shimada, Katsuhisa Nakatsuka and Choitsu Sakamoto and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Norio Itokawa

49 papers receiving 509 citations

Author Peers

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

Author Last Decade Papers Cites
Norio Itokawa 332 286 82 74 69 53 514
Chisa Kondo 332 1.0× 286 1.0× 69 0.8× 82 1.1× 67 1.0× 45 482
Giovanni Galati 283 0.9× 163 0.6× 87 1.1× 49 0.7× 99 1.4× 43 504
Michihiko Shibata 251 0.8× 129 0.5× 92 1.1× 94 1.3× 141 2.0× 61 518
Tsutomu Tamai 266 0.8× 169 0.6× 60 0.7× 61 0.8× 94 1.4× 37 503
Siddharth Sood 385 1.2× 291 1.0× 154 1.9× 42 0.6× 72 1.0× 42 567
S.G. Hübscher 327 1.0× 250 0.9× 211 2.6× 95 1.3× 93 1.3× 27 584
Delphine Weil 352 1.1× 369 1.3× 133 1.6× 48 0.6× 42 0.6× 36 557
Jen‐Jung Pan 331 1.0× 229 0.8× 168 2.0× 64 0.9× 108 1.6× 37 586
Clémence M. Canivet 387 1.2× 187 0.7× 89 1.1× 52 0.7× 114 1.7× 37 537
Han Ah Lee 427 1.3× 353 1.2× 53 0.6× 47 0.6× 95 1.4× 46 549

Countries citing papers authored by Norio Itokawa

Since Specialization
Citations

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

Fields of papers citing papers by Norio Itokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Itokawa

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