Akira Kuroda

49 total papers · 1.6k total citations
26 papers, 1.2k citations indexed

About

Akira Kuroda is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Akira Kuroda has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 12 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in Akira Kuroda's work include Pancreatitis Pathology and Treatment (14 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Neuroendocrine Tumor Research Advances (5 papers). Akira Kuroda is often cited by papers focused on Pancreatitis Pathology and Treatment (14 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Neuroendocrine Tumor Research Advances (5 papers). Akira Kuroda collaborates with scholars based in Japan and Cambodia. Akira Kuroda's co-authors include Wataru Kimura, Yasuhiko Morioka, Hideo Nagai, Masanori Sugiyama, Tetsuichiro Muto, Yukiyoshi Esaki, Yutaka Atomi, Yutaka Atomi, Yoshiyuki Wada and Seiichi YAMAGATA and has published in prestigious journals such as Gastroenterology, Cancer and Annals of Surgery.

In The Last Decade

Akira Kuroda

24 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Akira Kuroda 945 781 404 243 116 26 1.2k
Anna Maria Bochicchio 995 1.1× 595 0.8× 182 0.5× 332 1.4× 119 1.0× 41 1.2k
Emmanuel Mitry 821 0.9× 303 0.4× 430 1.1× 202 0.8× 228 2.0× 22 1.2k
G. Kl�ppel 773 0.8× 729 0.9× 393 1.0× 95 0.4× 62 0.5× 28 1.1k
J. Le Borgne 634 0.7× 700 0.9× 232 0.6× 168 0.7× 43 0.4× 40 935
Nevra Dursun 533 0.6× 506 0.6× 239 0.6× 269 1.1× 87 0.8× 43 929
Paulus G. Schurr 942 1.0× 616 0.8× 270 0.7× 475 2.0× 156 1.3× 25 1.2k
Andrea Gardini 437 0.5× 537 0.7× 385 1.0× 282 1.2× 55 0.5× 40 1.3k
F. Cvitkovic 561 0.6× 424 0.5× 140 0.3× 324 1.3× 71 0.6× 28 948
Rebecca Lai 719 0.8× 669 0.9× 415 1.0× 314 1.3× 35 0.3× 30 988
H A Pitt 946 1.0× 662 0.8× 359 0.9× 510 2.1× 45 0.4× 14 1.1k

Countries citing papers authored by Akira Kuroda

Since Specialization
Citations

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

Fields of papers citing papers by Akira Kuroda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Kuroda

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