Taisei Tsukada

30 total papers · 1.2k total citations
19 papers, 972 citations indexed

About

Taisei Tsukada is a scholar working on Urology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Taisei Tsukada has authored 19 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Urology, 7 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Taisei Tsukada's work include Urological Disorders and Treatments (6 papers), Urinary Bladder and Prostate Research (5 papers) and Cancer, Lipids, and Metabolism (2 papers). Taisei Tsukada is often cited by papers focused on Urological Disorders and Treatments (6 papers), Urinary Bladder and Prostate Research (5 papers) and Cancer, Lipids, and Metabolism (2 papers). Taisei Tsukada collaborates with scholars based in Japan, United States and Sweden. Taisei Tsukada's co-authors include Misako Watabe, Sadahiro Hosobe, Shigeru Hirota, Sucharita Bandyopadhyay, Kunio Miura, Sudha K. Pai, Kounosuke Watabe, Ken Saito, Megumi Iiizumi and Eiji Furuta and has published in prestigious journals such as Nature Medicine, Cancer Research and Oncogene.

In The Last Decade

Taisei Tsukada

19 papers receiving 964 citations

Author Peers

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

Author Last Decade Papers Cites
Taisei Tsukada 628 426 225 105 92 19 972
Jessica A. Beach 547 0.9× 325 0.8× 331 1.5× 112 1.1× 69 0.8× 21 896
Joo Heon Kim 745 1.2× 250 0.6× 203 0.9× 84 0.8× 57 0.6× 11 1.0k
Arusha Oloumi 694 1.1× 325 0.8× 248 1.1× 92 0.9× 87 0.9× 12 1.0k
Wendy Prime 661 1.1× 279 0.7× 362 1.6× 138 1.3× 98 1.1× 24 1.1k
Ming-Yang Wang 900 1.4× 532 1.2× 285 1.3× 86 0.8× 65 0.7× 20 1.2k
Dawid G. Nowak 944 1.5× 242 0.6× 164 0.7× 133 1.3× 49 0.5× 20 1.2k
Huiwen Yan 852 1.4× 541 1.3× 193 0.9× 91 0.9× 38 0.4× 24 1.2k
Yunxiao Meng 509 0.8× 339 0.8× 259 1.2× 97 0.9× 83 0.9× 32 907
Rajeev Mahimkar 462 0.7× 372 0.9× 323 1.4× 94 0.9× 49 0.5× 18 1.1k
Kai Doberstein 521 0.8× 249 0.6× 296 1.3× 115 1.1× 62 0.7× 26 1.1k

Countries citing papers authored by Taisei Tsukada

Since Specialization
Citations

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

Fields of papers citing papers by Taisei Tsukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taisei Tsukada

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