Mitsutaka Takada

124 total papers · 1.7k total citations
92 papers, 1.3k citations indexed

About

Mitsutaka Takada is a scholar working on Cardiology and Cardiovascular Medicine, Toxicology and Pharmacology. According to data from OpenAlex, Mitsutaka Takada has authored 92 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 17 papers in Toxicology and 14 papers in Pharmacology. Recurrent topics in Mitsutaka Takada's work include Pharmacovigilance and Adverse Drug Reactions (15 papers), Antiplatelet Therapy and Cardiovascular Diseases (10 papers) and Pharmacy and Medical Practices (9 papers). Mitsutaka Takada is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (15 papers), Antiplatelet Therapy and Cardiovascular Diseases (10 papers) and Pharmacy and Medical Practices (9 papers). Mitsutaka Takada collaborates with scholars based in Japan, United States and Dominican Republic. Mitsutaka Takada's co-authors include Kouichi Hosomi, Mai Fujimoto, S. Yokoyama, N Masuda, Nobuhide Takifuji, Kazuhiko Nakagawa, S. Kudoh, Kunihiko Matsui, Masayuki Nishioka and Y Kusunoki and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Mitsutaka Takada

88 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Mitsutaka Takada 511 458 256 185 168 92 1.3k
Vanessa Rousseau 249 0.5× 196 0.4× 192 0.8× 167 0.9× 85 0.5× 103 1.4k
Francisco Batel Marques 321 0.6× 228 0.5× 138 0.5× 270 1.5× 67 0.4× 91 1.5k
Liberata Sportiello 232 0.5× 224 0.5× 144 0.6× 240 1.3× 146 0.9× 75 1.6k
Hasniza Zaman Huri 559 1.1× 194 0.4× 186 0.7× 55 0.3× 105 0.6× 90 1.6k
Xiangli Cui 642 1.3× 187 0.4× 277 1.1× 39 0.2× 175 1.0× 81 1.8k
Jinfang Xu 233 0.5× 245 0.5× 127 0.5× 132 0.7× 105 0.6× 75 1.2k
Tomomi Kimura 235 0.5× 134 0.3× 271 1.1× 111 0.6× 196 1.2× 91 1.5k
Francesco Rossi 215 0.4× 262 0.6× 103 0.4× 146 0.8× 140 0.8× 111 1.7k
Antonios Douros 252 0.5× 157 0.3× 199 0.8× 88 0.5× 325 1.9× 85 1.6k
Jean‐Luc Faillie 313 0.6× 173 0.4× 183 0.7× 209 1.1× 104 0.6× 60 1.5k

Countries citing papers authored by Mitsutaka Takada

Since Specialization
Citations

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

Fields of papers citing papers by Mitsutaka Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsutaka Takada

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