Apuã C.M. Paquola

About

Apuã C.M. Paquola is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Apuã C.M. Paquola has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Apuã C.M. Paquola’s work include Pluripotent Stem Cells Research (8 papers), Single-cell and spatial transcriptomics (5 papers) and CRISPR and Genetic Engineering (4 papers). Apuã C.M. Paquola is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Single-cell and spatial transcriptomics (5 papers) and CRISPR and Genetic Engineering (4 papers). Apuã C.M. Paquola collaborates with scholars based in United States, Brazil and Germany. Apuã C.M. Paquola's co-authors include Fred H. Gage, Jérôme Mertens, Alysson R. Muotri, Manching Ku, Jennifer A. Erwin, Joseph R. Herdy, Tomohisa Toda, Yongsung Kim, Jun Yao and Jürgen Winkler and has published in prestigious journals such as Nature, Neuron and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Apuã C.M. Paquola i

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Fields of papers citing papers by Apuã C.M. Paquola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Apuã C.M. Paquola. 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 Apuã C.M. Paquola. The network helps show where Apuã C.M. Paquola may publish in the future.

Countries citing papers authored by Apuã C.M. Paquola

Since Specialization

Citations

This map shows the geographic impact of Apuã C.M. Paquola'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 Apuã C.M. Paquola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apuã C.M. Paquola 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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