Sara Gallego

28 total papers · 553 total citations
18 papers, 387 citations indexed

About

Sara Gallego is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sara Gallego has authored 18 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 8 papers in Health, Toxicology and Mutagenesis and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sara Gallego's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Microbial bioremediation and biosurfactants (4 papers). Sara Gallego is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Microbial bioremediation and biosurfactants (4 papers). Sara Gallego collaborates with scholars based in France, Spain and Germany. Sara Gallego's co-authors include Joaquim Vila, Magdalena Grifoll, Fabrice Martin‐Laurent, J. J. Ortega Calvo, Manuel Cantos, J. M. Nieto, Nicola Montemurro, Sandra Pérez, Dirk Springael and Philip Breugelmans and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and The Science of The Total Environment.

In The Last Decade

Sara Gallego

17 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Sara Gallego	265	113	111	70	52	18	387
Haim B. Gunner	198 0.7×	91 0.8×	90 0.8×	65 0.9×	82 1.6×	28	391
Chenshuo Lin	168 0.6×	68 0.6×	101 0.9×	46 0.7×	44 0.8×	20	389
Martina Di Lenola	269 1.0×	69 0.6×	88 0.8×	40 0.6×	65 1.3×	17	416
Paula Martinez Lavanchy	240 0.9×	120 1.1×	58 0.5×	89 1.3×	22 0.4×	17	401
Sha Li	154 0.6×	75 0.7×	97 0.9×	57 0.8×	55 1.1×	25	379
Yuanyuan Shen	227 0.9×	70 0.6×	123 1.1×	33 0.5×	105 2.0×	19	367
Qiang Chen	141 0.5×	106 0.9×	62 0.6×	51 0.7×	72 1.4×	19	351
Longkai Qiao	195 0.7×	92 0.8×	98 0.9×	37 0.5×	32 0.6×	11	349
Sofia Nikolaki	237 0.9×	73 0.6×	79 0.7×	54 0.8×	90 1.7×	9	397
Chiara Pesciaroli	150 0.6×	108 1.0×	44 0.4×	89 1.3×	53 1.0×	19	376

Countries citing papers authored by Sara Gallego

Since Specialization

Citations

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

Fields of papers citing papers by Sara Gallego

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Gallego. 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 Sara Gallego. The network helps show where Sara Gallego may publish in the future.

Co-authorship network of co-authors of Sara Gallego

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Gallego. A scholar is included among the top collaborators of Sara Gallego 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 Sara Gallego. Sara Gallego 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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