T. Tsukada

47 total papers · 1.3k total citations
30 papers, 1.1k citations indexed

About

T. Tsukada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Tsukada has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Tsukada's work include Neuroendocrine Tumor Research Advances (4 papers), Neuropeptides and Animal Physiology (4 papers) and Chemical Synthesis and Analysis (3 papers). T. Tsukada is often cited by papers focused on Neuroendocrine Tumor Research Advances (4 papers), Neuropeptides and Animal Physiology (4 papers) and Chemical Synthesis and Analysis (3 papers). T. Tsukada collaborates with scholars based in Japan, United States and Switzerland. T. Tsukada's co-authors include J. Stephen Fink, Richard H. Goodman, Gail Mandel, K. Yamada, Shin Yamamoto, Tomoki Naito, Kazuhiro Kozuka, Naganari Ohkura, Menno Verhave and Siegfried Kasper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

T. Tsukada

29 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
T. Tsukada	432	348	169	155	136	30	1.1k
Jiong Wu	520 1.2×	459 1.3×	251 1.5×	18 0.1×	39 0.3×	63	1.4k
An Vo	157 0.4×	207 0.6×	160 0.9×	89 0.6×	62 0.5×	60	1.0k
Tomoki Naito	446 1.0×	51 0.1×	179 1.1×	168 1.1×	62 0.5×	33	927
Jeffrey L. Fine	335 0.8×	169 0.5×	86 0.5×	11 0.1×	39 0.3×	45	1.0k
Hiromitsu Araki	704 1.6×	37 0.1×	31 0.2×	74 0.5×	183 1.3×	43	1.3k
Yousef Al‐Kofahi	246 0.6×	275 0.8×	380 2.2×	160 1.0×	45 0.3×	17	1.3k
Cody J. Smith	325 0.8×	385 1.1×	87 0.5×	72 0.5×	57 0.4×	46	1.4k
Kui Duan	659 1.5×	260 0.7×	56 0.3×	7 0.0×	47 0.3×	26	1.0k
Veerle Reumers	494 1.1×	399 1.1×	26 0.2×	41 0.3×	63 0.5×	33	1.2k
Marco Righi	374 0.9×	86 0.2×	33 0.2×	11 0.1×	322 2.4×	44	969

Countries citing papers authored by T. Tsukada

Since Specialization

Citations

This map shows the geographic impact of T. Tsukada'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 T. Tsukada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Tsukada more than expected).

Fields of papers citing papers by T. Tsukada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Tsukada

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