Taira Kuroda

56 total papers · 445 total citations
20 papers, 242 citations indexed

About

Taira Kuroda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Taira Kuroda has authored 20 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Taira Kuroda's work include Pancreatitis Pathology and Treatment (9 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Gallbladder and Bile Duct Disorders (7 papers). Taira Kuroda is often cited by papers focused on Pancreatitis Pathology and Treatment (9 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Gallbladder and Bile Duct Disorders (7 papers). Taira Kuroda collaborates with scholars based in Japan. Taira Kuroda's co-authors include Teru Kumagi, Mitsuhito Koizumi, Yoichi Hiasa, Tomoyuki Yokota, Masashi Hirooka, Yoshiki Imamura, Kazuhide Higuchi, Nobuaki Azemoto, Takeshi Ogura and Mamoru Takenaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Mayo Clinic Proceedings.

In The Last Decade

Taira Kuroda

18 papers receiving 239 citations

Author Peers

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

Author						Papers	Cites
Taira Kuroda	166	148	127	65	16	20	242
G Tucci	208 1.3×	113 0.8×	81 0.6×	53 0.8×	14 0.9×	18	312
G.J. Brodmerkel	184 1.1×	122 0.8×	114 0.9×	31 0.5×	6 0.4×	27	301
J V Lever	130 0.8×	135 0.9×	65 0.5×	35 0.5×	9 0.6×	14	307
Amir Ben Yehuda	161 1.0×	144 1.0×	72 0.6×	56 0.9×	20 1.3×	21	289
Chrysovalantis Vergadis	120 0.7×	53 0.4×	76 0.6×	53 0.8×	26 1.6×	28	227
Masaya Shinbo	237 1.4×	119 0.8×	154 1.2×	33 0.5×	16 1.0×	22	309
Marco Cavallaro	155 0.9×	70 0.5×	97 0.8×	39 0.6×	5 0.3×	16	239
So Young Bae	222 1.3×	116 0.8×	212 1.7×	45 0.7×	21 1.3×	21	308
Joshua S. Jolissaint	188 1.1×	122 0.8×	77 0.6×	21 0.3×	14 0.9×	28	266
Francisco Igea	167 1.0×	59 0.4×	55 0.4×	47 0.7×	18 1.1×	19	256

Countries citing papers authored by Taira Kuroda

Since Specialization

Citations

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

Fields of papers citing papers by Taira Kuroda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taira Kuroda

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