T. TAKADA

119 total papers · 988 total citations
44 papers, 804 citations indexed

About

T. TAKADA is a scholar working on Organic Chemistry, Materials Chemistry and Inorganic Chemistry. According to data from OpenAlex, T. TAKADA has authored 44 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Organic Chemistry, 10 papers in Materials Chemistry and 7 papers in Inorganic Chemistry. Recurrent topics in T. TAKADA's work include Oxidative Organic Chemistry Reactions (6 papers), Fluorine in Organic Chemistry (5 papers) and Chemical Synthesis and Reactions (4 papers). T. TAKADA is often cited by papers focused on Oxidative Organic Chemistry Reactions (6 papers), Fluorine in Organic Chemistry (5 papers) and Chemical Synthesis and Reactions (4 papers). T. TAKADA collaborates with scholars based in Japan, United States and Taiwan. T. TAKADA's co-authors include Hirofumi Tohma, J. Huot, Etsuo Akiba, Muneyoshi Yamada, Seiji Kasahara, Kohji Omata, Toshikazu Hirao, Shoko Yamazaki, Hidehiro Sakurai and J. D. Mackenzie and has published in prestigious journals such as Angewandte Chemie International Edition, Applied Physics Letters and Macromolecules.

In The Last Decade

T. TAKADA

43 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
T. TAKADA 378 366 160 109 92 44 804
Juan M. Asensio 405 1.1× 329 0.9× 225 1.4× 65 0.6× 150 1.6× 30 898
N.Ya. Turova 500 1.3× 251 0.7× 159 1.0× 164 1.5× 253 2.8× 48 777
Juan Padilla 459 1.2× 185 0.5× 123 0.8× 80 0.7× 119 1.3× 43 858
Meng Zhou 186 0.5× 445 1.2× 63 0.4× 80 0.7× 220 2.4× 30 844
Julen Munárriz 258 0.7× 376 1.0× 69 0.4× 184 1.7× 177 1.9× 50 832
Katsutoshi Yasufuku 193 0.5× 550 1.5× 60 0.4× 75 0.7× 320 3.5× 42 946
P. P. Semyannikov 424 1.1× 270 0.7× 75 0.5× 212 1.9× 104 1.1× 56 713
Niladri Maity 482 1.3× 280 0.8× 157 1.0× 170 1.6× 148 1.6× 35 843
Ivan Yu. Chernyshov 263 0.7× 234 0.6× 87 0.5× 164 1.5× 293 3.2× 36 852
Edwin A. Baquero 248 0.7× 392 1.1× 55 0.3× 153 1.4× 167 1.8× 33 719

Countries citing papers authored by T. TAKADA

Since Specialization
Citations

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

Fields of papers citing papers by T. TAKADA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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