David Correa‐Galeote

48 total papers · 1.0k total citations
38 papers, 789 citations indexed

About

David Correa‐Galeote is a scholar working on Pollution, Molecular Biology and Ecology. According to data from OpenAlex, David Correa‐Galeote has authored 38 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 9 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in David Correa‐Galeote's work include Wastewater Treatment and Nitrogen Removal (9 papers), Microbial Community Ecology and Physiology (8 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). David Correa‐Galeote is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (9 papers), Microbial Community Ecology and Physiology (8 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). David Correa‐Galeote collaborates with scholars based in Spain, Chile and Cuba. David Correa‐Galeote's co-authors include Eulogio J. Bedmar, Antonio Castellano‐Hinojosa, Germán Tortosa, Jesús González, Anuska Mosquera‐Corral, Izargi Vega‐Mas, J. M. Estavillo, Carmen González‐Murua, B. Rodelas and S. Menéndez and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

David Correa‐Galeote

37 papers receiving 780 citations

Author Peers

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

Author Last Decade Papers Cites
David Correa‐Galeote 286 256 190 171 118 38 789
F. Blanco 341 1.2× 216 0.8× 206 1.1× 158 0.9× 83 0.7× 24 871
Merja H. Kontro 255 0.9× 180 0.7× 204 1.1× 143 0.8× 115 1.0× 31 762
Qiongli Bao 314 1.1× 260 1.0× 167 0.9× 118 0.7× 70 0.6× 26 796
Naling Bai 269 0.9× 211 0.8× 197 1.0× 172 1.0× 148 1.3× 42 856
Qiaogang Yu 334 1.2× 247 1.0× 371 2.0× 128 0.7× 68 0.6× 43 882
Jianrong Fu 281 1.0× 144 0.6× 197 1.0× 141 0.8× 77 0.7× 34 677
Jean Le Petit 152 0.5× 356 1.4× 250 1.3× 94 0.5× 78 0.7× 26 832
Kankan Zhao 225 0.8× 155 0.6× 120 0.6× 302 1.8× 184 1.6× 35 748
Zhenjie Du 249 0.9× 300 1.2× 205 1.1× 57 0.3× 64 0.5× 37 825
Tingqiang Li 368 1.3× 307 1.2× 198 1.0× 130 0.8× 48 0.4× 21 771

Countries citing papers authored by David Correa‐Galeote

Since Specialization
Citations

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

Fields of papers citing papers by David Correa‐Galeote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Correa‐Galeote. 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 David Correa‐Galeote. The network helps show where David Correa‐Galeote may publish in the future.

Co-authorship network of co-authors of David Correa‐Galeote

This figure shows the co-authorship network connecting the top 25 collaborators of David Correa‐Galeote. A scholar is included among the top collaborators of David Correa‐Galeote 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 David Correa‐Galeote. David Correa‐Galeote 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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