Takuma Morishima

50 total papers · 900 total citations
33 papers, 711 citations indexed

About

Takuma Morishima is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Takuma Morishima has authored 33 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Complementary and alternative medicine, 15 papers in Cardiology and Cardiovascular Medicine and 14 papers in Physiology. Recurrent topics in Takuma Morishima's work include Cardiovascular and exercise physiology (20 papers), Cardiovascular Health and Disease Prevention (14 papers) and Adipose Tissue and Metabolism (8 papers). Takuma Morishima is often cited by papers focused on Cardiovascular and exercise physiology (20 papers), Cardiovascular Health and Disease Prevention (14 papers) and Adipose Tissue and Metabolism (8 papers). Takuma Morishima collaborates with scholars based in Japan, United States and Germany. Takuma Morishima's co-authors include Kazushige Goto, Jaume Padilla, Robert M. Restaino, Lauren K. Walsh, Paul J. Fadel, Eisuke Ochi, Jill A. Kanaley, Yosuke Tsuchiya, Jennifer R. Vranish and Luis A. Martinez‐Lemus and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Takuma Morishima

30 papers receiving 696 citations

Author Peers

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

Author Last Decade Papers Cites
Takuma Morishima 351 335 307 140 87 33 711
Anne R. Crecelius 316 0.9× 589 1.8× 473 1.5× 138 1.0× 54 0.6× 46 867
B. J. Freund 387 1.1× 292 0.9× 285 0.9× 122 0.9× 154 1.8× 38 862
W. C. Adams 332 0.9× 153 0.5× 158 0.5× 175 1.3× 122 1.4× 35 857
Alain Duvallet 260 0.7× 139 0.4× 244 0.8× 265 1.9× 55 0.6× 18 747
Rebecca L. Scalzo 337 1.0× 133 0.4× 158 0.5× 65 0.5× 53 0.6× 35 735
Stefanie Keiser 288 0.8× 205 0.6× 203 0.7× 278 2.0× 130 1.5× 24 756
K. P. Davy 241 0.7× 370 1.1× 326 1.1× 36 0.3× 33 0.4× 26 723
Sajad Ahmadizad 320 0.9× 178 0.5× 289 0.9× 43 0.3× 167 1.9× 62 831
Rafael Reyes 289 0.8× 264 0.8× 210 0.7× 39 0.3× 70 0.8× 16 642
Heidi A. Kluess 174 0.5× 384 1.1× 309 1.0× 41 0.3× 50 0.6× 40 649

Countries citing papers authored by Takuma Morishima

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Morishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Morishima

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