Junko Tsubaki

21 total papers · 1.2k total citations
17 papers, 892 citations indexed

About

Junko Tsubaki is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Junko Tsubaki has authored 17 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Junko Tsubaki's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Junko Tsubaki is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Junko Tsubaki collaborates with scholars based in Japan, United States and Argentina. Junko Tsubaki's co-authors include Ron G. Rosenfeld, Vivian Hwa, Youngman Oh, Ho-Seong Kim, Liliana Bezrodnik, Eric M. Kofoed, Juan J. Heinrich, Héctor Jasper, Katie A. Woods and Brian M. Little and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Junko Tsubaki

16 papers receiving 875 citations

Author Peers

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

Author						Papers	Cites
Junko Tsubaki	386	371	234	140	131	17	892
Robert M. White	448 1.2×	426 1.1×	184 0.8×	79 0.6×	82 0.6×	14	988
Brian M. Little	537 1.4×	334 0.9×	333 1.4×	176 1.3×	211 1.6×	15	1.1k
Mauro Rigato	430 1.1×	345 0.9×	88 0.4×	94 0.7×	216 1.6×	29	915
R A Norum	306 0.8×	348 0.9×	131 0.6×	78 0.6×	45 0.3×	12	853
Caroline Buckway	627 1.6×	323 0.9×	304 1.3×	134 1.0×	134 1.0×	16	890
Jun Lei	206 0.5×	352 0.9×	256 1.1×	76 0.5×	86 0.7×	16	986
Robert A. Norum	347 0.9×	384 1.0×	250 1.1×	70 0.5×	30 0.2×	16	886
Maria M. Zanone	174 0.5×	344 0.9×	225 1.0×	51 0.4×	168 1.3×	26	906
Cora Groffen	484 1.3×	358 1.0×	140 0.6×	35 0.3×	51 0.4×	16	766
Jeannig Berrou	176 0.5×	381 1.0×	51 0.2×	105 0.8×	203 1.5×	26	904

Countries citing papers authored by Junko Tsubaki

Since Specialization

Citations

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

Fields of papers citing papers by Junko Tsubaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Tsubaki

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