Sakura Tomita

42 total papers · 552 total citations
35 papers, 410 citations indexed

About

Sakura Tomita is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Sakura Tomita has authored 35 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pathology and Forensic Medicine, 11 papers in Oncology and 10 papers in Genetics. Recurrent topics in Sakura Tomita's work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Viral-associated cancers and disorders (6 papers). Sakura Tomita is often cited by papers focused on Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Viral-associated cancers and disorders (6 papers). Sakura Tomita collaborates with scholars based in Japan, Spain and United Arab Emirates. Sakura Tomita's co-authors include Naoya Nakamura, Yara Yukie Kikuti, Joaquim Carreras, Haruka Ikoma, Masashi Miyaoka, Shinichiro Hiraiwa, Rifat Hamoudi, Atsushi Ito, Kiyoshi Ando and Giovanna Roncador and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Surgical Pathology and Modern Pathology.

In The Last Decade

Sakura Tomita

31 papers receiving 406 citations

Author Peers

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

Author Last Decade Papers Cites
Sakura Tomita 245 156 128 84 76 35 410
Barbara Jezeršek Novaković 183 0.7× 162 1.0× 98 0.8× 45 0.5× 87 1.1× 43 397
Tawatchai Pongpruttipan 280 1.1× 239 1.5× 127 1.0× 67 0.8× 37 0.5× 19 408
Tomoaki Akagi 206 0.8× 129 0.8× 131 1.0× 125 1.5× 58 0.8× 27 443
Noraidah Masir 204 0.8× 163 1.0× 76 0.6× 90 1.1× 101 1.3× 48 394
Naoki Kurita 121 0.5× 91 0.6× 140 1.1× 93 1.1× 74 1.0× 59 468
Man Nie 123 0.5× 196 1.3× 230 1.8× 100 1.2× 37 0.5× 25 470
Haiwen Huang 199 0.8× 227 1.5× 121 0.9× 156 1.9× 117 1.5× 44 485
Xiaohui Zhao 104 0.4× 124 0.8× 69 0.5× 82 1.0× 46 0.6× 34 430
Dariusz Woszczyk 76 0.3× 116 0.7× 96 0.8× 109 1.3× 98 1.3× 27 393
M Pfreundschuh 235 1.0× 219 1.4× 179 1.4× 68 0.8× 94 1.2× 34 493

Countries citing papers authored by Sakura Tomita

Since Specialization
Citations

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

Fields of papers citing papers by Sakura Tomita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakura Tomita

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