Christina Maeda Takiya

220 papers and 5.1k indexed citations i.

About

Christina Maeda Takiya is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Christina Maeda Takiya has authored 220 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 47 papers in Surgery and 42 papers in Epidemiology. Recurrent topics in Christina Maeda Takiya’s work include Mesenchymal stem cell research (21 papers), Adenosine and Purinergic Signaling (14 papers) and Pituitary Gland Disorders and Treatments (12 papers). Christina Maeda Takiya is often cited by papers focused on Mesenchymal stem cell research (21 papers), Adenosine and Purinergic Signaling (14 papers) and Pituitary Gland Disorders and Treatments (12 papers). Christina Maeda Takiya collaborates with scholars based in Brazil, United States and Italy. Christina Maeda Takiya's co-authors include Radovan Borojević, Célio Geraldo Freire-de-Lima, Robson Coutinho‐Silva, George A. DosReis, Marise P. Nunes, Mônica R. Gadelha, Leonardo Vieira Neto, Celso Caruso‐Neves, Luiz Eurico Nasciutti and Gino Rigotti and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Christina Maeda Takiya i

Fields of papers citing papers by Christina Maeda Takiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Maeda Takiya. 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 Christina Maeda Takiya. The network helps show where Christina Maeda Takiya may publish in the future.

Countries citing papers authored by Christina Maeda Takiya

Since Specialization
Citations

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

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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