Fernando J. Pineda

32 papers and 1.9k indexed citations i.

About

Fernando J. Pineda is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Fernando J. Pineda has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Artificial Intelligence and 7 papers in Epidemiology. Recurrent topics in Fernando J. Pineda’s work include Neural Networks and Applications (9 papers), Neural dynamics and brain function (6 papers) and Mitochondrial Function and Pathology (5 papers). Fernando J. Pineda is often cited by papers focused on Neural Networks and Applications (9 papers), Neural dynamics and brain function (6 papers) and Mitochondrial Function and Pathology (5 papers). Fernando J. Pineda collaborates with scholars based in United States, Venezuela and Germany. Fernando J. Pineda's co-authors include J. Marie Hardwick, Sarah Berman, Plamen A. Demirev, Jeffrey S. Lin, Catherine Fenselau, Wen‐Chih Cheng, Bing Qi, Xinchen Teng, Elizabeth A. Jonas and J. Michael McCaffery and has published in prestigious journals such as Physical Review Letters, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Co-authorship network of co-authors of Fernando J. Pineda i

Fields of papers citing papers by Fernando J. Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando J. Pineda. 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 Fernando J. Pineda. The network helps show where Fernando J. Pineda may publish in the future.

Countries citing papers authored by Fernando J. Pineda

Since Specialization
Citations

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