Tomoko Wakasa

124 total papers · 1.1k total citations
85 papers, 762 citations indexed

About

Tomoko Wakasa is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Tomoko Wakasa has authored 85 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 29 papers in Oncology and 20 papers in Epidemiology. Recurrent topics in Tomoko Wakasa's work include Neuroendocrine Tumor Research Advances (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Tomoko Wakasa is often cited by papers focused on Neuroendocrine Tumor Research Advances (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Tomoko Wakasa collaborates with scholars based in Japan, United States and China. Tomoko Wakasa's co-authors include Yukio Osaki, Tōru Kimura, Hiroki Nishikawa, Ryuichi Kita, Akira Arimoto, Kennichi Kakudo, Kenichi Wakasa, Yoshio Ohta, Yoshiki Mikami and Masayuki Shintaku and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and The American Journal of Surgical Pathology.

In The Last Decade

Tomoko Wakasa

78 papers receiving 749 citations

Author Peers

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

Author						Papers	Cites
Tomoko Wakasa	242	205	186	157	141	85	762
A Kondi-Pafiti	255 1.1×	245 1.2×	136 0.7×	142 0.9×	120 0.9×	76	861
Adele Busico	227 0.9×	348 1.7×	159 0.9×	206 1.3×	224 1.6×	48	773
Adina Croitoru	167 0.7×	303 1.5×	187 1.0×	124 0.8×	127 0.9×	73	768
Seung Yeon Ha	192 0.8×	298 1.5×	288 1.5×	211 1.3×	141 1.0×	82	853
Ji Hae Nahm	249 1.0×	174 0.8×	148 0.8×	170 1.1×	194 1.4×	51	774
T. M. Scheinin	223 0.9×	261 1.3×	105 0.6×	183 1.2×	106 0.8×	45	734
William L. Ho	128 0.5×	116 0.6×	115 0.6×	180 1.1×	262 1.9×	47	721
Lara Alessandrini	233 1.0×	282 1.4×	92 0.5×	199 1.3×	216 1.5×	69	818
Luis E. De Las Casas	136 0.6×	326 1.6×	98 0.5×	228 1.5×	197 1.4×	65	825
Takahiro Einama	231 1.0×	497 2.4×	93 0.5×	294 1.9×	189 1.3×	82	877

Countries citing papers authored by Tomoko Wakasa

Since Specialization

Citations

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

Fields of papers citing papers by Tomoko Wakasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Wakasa

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