Masako Tsukamoto

58 total papers · 809 total citations
40 papers, 607 citations indexed

About

Masako Tsukamoto is a scholar working on Physiology, Immunology and Surgery. According to data from OpenAlex, Masako Tsukamoto has authored 40 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 8 papers in Immunology and 7 papers in Surgery. Recurrent topics in Masako Tsukamoto's work include Salivary Gland Disorders and Functions (5 papers), Platelet Disorders and Treatments (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). Masako Tsukamoto is often cited by papers focused on Salivary Gland Disorders and Functions (5 papers), Platelet Disorders and Treatments (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). Masako Tsukamoto collaborates with scholars based in Japan, United Kingdom and Armenia. Masako Tsukamoto's co-authors include Yuji Ikegaya, Norio Matsuki, Katsuya Suzuki, Maki Yamada, Nobuyoshi Nishiyama, Tsutomu Takeuchi, Tetsuo Nagano, Kazuya Kikuchi, Tomoya Hirano and Itaru Mita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

Masako Tsukamoto

36 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
Masako Tsukamoto	173	152	149	98	69	40	607
Chunhua Zeng	164 0.9×	34 0.2×	77 0.5×	48 0.5×	29 0.4×	66	690
Keigo Fujiwara	241 1.4×	109 0.7×	45 0.3×	85 0.9×	12 0.2×	43	674
Kiyokazu Kametani	196 1.1×	95 0.6×	26 0.2×	31 0.3×	21 0.3×	30	499
Carolyn Harris	189 1.1×	59 0.4×	28 0.2×	110 1.1×	83 1.2×	23	572
Junya Masuda	156 0.9×	64 0.4×	22 0.1×	69 0.7×	11 0.2×	21	508
Lara Macchioni	275 1.6×	54 0.4×	28 0.2×	66 0.7×	77 1.1×	35	684
Yunting Lin	286 1.7×	40 0.3×	34 0.2×	67 0.7×	37 0.5×	61	538
V. Stefanovich	160 0.9×	66 0.4×	36 0.2×	83 0.8×	13 0.2×	43	516
R. L. C. Cumming	293 1.7×	98 0.6×	62 0.4×	56 0.6×	23 0.3×	26	685
Rafael Sarrı́a	159 0.9×	144 0.9×	23 0.2×	109 1.1×	33 0.5×	26	524

Countries citing papers authored by Masako Tsukamoto

Since Specialization

Citations

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

Fields of papers citing papers by Masako Tsukamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Tsukamoto

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