Mitsuko Tsubamoto

43 total papers · 1.4k total citations
36 papers, 971 citations indexed

About

Mitsuko Tsubamoto is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mitsuko Tsubamoto has authored 36 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Mitsuko Tsubamoto's work include Lung Cancer Diagnosis and Treatment (16 papers), Medical Imaging Techniques and Applications (11 papers) and Medical Imaging and Pathology Studies (10 papers). Mitsuko Tsubamoto is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Medical Imaging Techniques and Applications (11 papers) and Medical Imaging and Pathology Studies (10 papers). Mitsuko Tsubamoto collaborates with scholars based in Japan and Canada. Mitsuko Tsubamoto's co-authors include Noriyuki Tomiyama, Takeshi Johkoh, Osamu Honda, Hironobu Nakamura, Hiromitsu Sumikawa, Atsuo Inoue, Seiki Hamada, Masahiro Yanagawa, Keiko Kuriyama and Akinori Hata and has published in prestigious journals such as Scientific Reports, Radiology and American Journal of Roentgenology.

In The Last Decade

Mitsuko Tsubamoto

32 papers receiving 948 citations

Author Peers

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

Author						Papers	Cites
Mitsuko Tsubamoto	580	358	189	169	153	36	971
David S. Feigin	432 0.7×	224 0.6×	164 0.9×	166 1.0×	265 1.7×	32	1.0k
Jeanne B. Ackman	231 0.4×	399 1.1×	312 1.7×	131 0.8×	190 1.2×	50	869
Arfa Khan	366 0.6×	177 0.5×	105 0.6×	80 0.5×	231 1.5×	42	819
Naama Bogot	515 0.9×	550 1.5×	71 0.4×	60 0.4×	165 1.1×	49	1.0k
Mitsuhiro Koyama	649 1.1×	423 1.2×	121 0.6×	142 0.8×	184 1.2×	45	1.2k
Lucía Flors	328 0.6×	326 0.9×	115 0.6×	181 1.1×	520 3.4×	59	1.2k
Min Jae	440 0.8×	342 1.0×	88 0.5×	80 0.5×	128 0.8×	64	905
Reinhard Groell	271 0.5×	239 0.7×	88 0.5×	119 0.7×	234 1.5×	40	811
Andreas Helck	536 0.9×	500 1.4×	72 0.4×	190 1.1×	228 1.5×	55	1.1k
Joachim F. Seeger	193 0.3×	252 0.7×	258 1.4×	132 0.8×	231 1.5×	46	975

Countries citing papers authored by Mitsuko Tsubamoto

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuko Tsubamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuko Tsubamoto

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