Shinya Oda

32 total papers · 554 total citations
17 papers, 452 citations indexed

About

Shinya Oda is a scholar working on Epidemiology, Oncology and Genetics. According to data from OpenAlex, Shinya Oda has authored 17 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Shinya Oda's work include Herpesvirus Infections and Treatments (4 papers), HER2/EGFR in Cancer Research (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Shinya Oda is often cited by papers focused on Herpesvirus Infections and Treatments (4 papers), HER2/EGFR in Cancer Research (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Shinya Oda collaborates with scholars based in Japan and Switzerland. Shinya Oda's co-authors include Shinji Ohno, Shinichi Tsutsui, Yoichi Hachitanda, Shigeru Murakami, Yoshihiko Maehara, Jun Arii, Akihisa Kato, Naoto Koyanagi, Yasushi Kawaguchi and Yoshihiro Kakeji and has published in prestigious journals such as Journal of Virology, International Journal of Cancer and Breast Cancer Research and Treatment.

In The Last Decade

Shinya Oda

15 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Shinya Oda	245	170	121	86	74	17	452
Manuel Muñoz	287 1.2×	172 1.0×	140 1.2×	61 0.7×	70 0.9×	15	499
H Pujol	176 0.7×	172 1.0×	59 0.5×	91 1.1×	58 0.8×	15	433
Jill Freeman	118 0.5×	104 0.6×	97 0.8×	105 1.2×	33 0.4×	15	495
Chieh Lan	142 0.6×	124 0.7×	128 1.1×	98 1.1×	31 0.4×	17	517
Marianna L. Ianzano	210 0.9×	217 1.3×	62 0.5×	107 1.2×	55 0.7×	19	497
Adam D. Swick	175 0.7×	174 1.0×	67 0.6×	84 1.0×	96 1.3×	23	504
Giovanella Bc	206 0.8×	188 1.1×	37 0.3×	40 0.5×	39 0.5×	12	420
Nicholas Au	144 0.6×	156 0.9×	46 0.4×	142 1.7×	63 0.9×	15	412
Kavita Desai	143 0.6×	159 0.9×	100 0.8×	46 0.5×	23 0.3×	22	458
Shiou‐Fu Lin	98 0.4×	150 0.9×	93 0.8×	178 2.1×	54 0.7×	26	520

Countries citing papers authored by Shinya Oda

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Oda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Oda

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