Daniel de la

24 papers and 415 indexed citations i.

About

Daniel de la is a scholar working on Plant Science, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Daniel de la has authored 24 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 8 papers in Atmospheric Science and 6 papers in Aerospace Engineering. Recurrent topics in Daniel de la’s work include Plant responses to elevated CO2 (9 papers), Atmospheric chemistry and aerosols (8 papers) and Turbomachinery Performance and Optimization (6 papers). Daniel de la is often cited by papers focused on Plant responses to elevated CO2 (9 papers), Atmospheric chemistry and aerosols (8 papers) and Turbomachinery Performance and Optimization (6 papers). Daniel de la collaborates with scholars based in Spain, United Kingdom and United States. Daniel de la's co-authors include J. Sanz, V. Bermejo, Beatriz Gimeno, S. Elvira, Ryan S. Wells, H. P. Hodson, Rosa Inclán, Agustı́n Rubio, Malcolm West and Peter Schuster and has published in prestigious journals such as Environmental Pollution, Atmospheric Environment and Journal of Cardiovascular Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Daniel de la i

Fields of papers citing papers by Daniel de la

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel de la. 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 Daniel de la. The network helps show where Daniel de la may publish in the future.

Countries citing papers authored by Daniel de la

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025