Masashi Kudo

55 total papers · 557 total citations
37 papers, 392 citations indexed

About

Masashi Kudo is a scholar working on Oncology, Surgery and Hepatology. According to data from OpenAlex, Masashi Kudo has authored 37 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 13 papers in Surgery and 12 papers in Hepatology. Recurrent topics in Masashi Kudo's work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Liver Disease Diagnosis and Treatment (7 papers). Masashi Kudo is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Liver Disease Diagnosis and Treatment (7 papers). Masashi Kudo collaborates with scholars based in Japan, United States and Germany. Masashi Kudo's co-authors include Naoto Gotohda, Masaru Konishi, Shinichiro Takahashi, Motokazu Sugimoto, Yuichiro Kato, Yasunori Nishida, Yusuke Nakayama, Shin Kobayashi, Kojiro Michitaka and Takashi Kumada and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Masashi Kudo

34 papers receiving 384 citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Kudo 184 172 134 93 79 37 392
Simone Famularo 142 0.8× 191 1.1× 178 1.3× 91 1.0× 79 1.0× 52 399
Shirin Feshtali 144 0.8× 118 0.7× 81 0.6× 107 1.2× 31 0.4× 24 352
Yannan Bai 130 0.7× 193 1.1× 112 0.8× 93 1.0× 94 1.2× 34 411
Katerina Zakka 188 1.0× 27 0.2× 85 0.6× 74 0.8× 58 0.7× 36 365
Kwan N. Lau 81 0.4× 170 1.0× 190 1.4× 132 1.4× 87 1.1× 36 427
Jazan Omari 71 0.4× 122 0.7× 96 0.7× 54 0.6× 68 0.9× 55 345
Ryo Muranushi 199 1.1× 48 0.3× 99 0.7× 95 1.0× 52 0.7× 40 335
Tomoya Kanai 100 0.5× 74 0.4× 61 0.5× 106 1.1× 22 0.3× 27 405
Kenzo Wakasugi 131 0.7× 97 0.6× 193 1.4× 63 0.7× 146 1.8× 24 355
Michitaka Imai 54 0.3× 214 1.2× 101 0.8× 148 1.6× 68 0.9× 33 393

Countries citing papers authored by Masashi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Kudo

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