M.C. Riva

1.0k total citations
25 papers, 803 citations indexed

About

M.C. Riva is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, M.C. Riva has authored 25 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 4 papers in Environmental Chemistry. Recurrent topics in M.C. Riva's work include Environmental Toxicology and Ecotoxicology (12 papers), Environmental Chemistry and Analysis (4 papers) and Mercury impact and mitigation studies (4 papers). M.C. Riva is often cited by papers focused on Environmental Toxicology and Ecotoxicology (12 papers), Environmental Chemistry and Analysis (4 papers) and Mercury impact and mitigation studies (4 papers). M.C. Riva collaborates with scholars based in Spain, Portugal and United States. M.C. Riva's co-authors include Carlos Barata, Amadeu M.V.M. Soares, Donald J. Baird, António J.A. Nogueira, Joana Damásio, M. A. López, ‪Damià Barceló, Demetrio Raldúa, Joan O. Grimalt and David X. Soto and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

M.C. Riva

24 papers receiving 762 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.C. Riva Spain 13 574 413 123 86 75 25 803
Albania Grosso United Kingdom 6 365 0.6× 345 0.8× 132 1.1× 62 0.7× 102 1.4× 7 716
Adam Wightwick Australia 13 340 0.6× 396 1.0× 166 1.3× 80 0.9× 51 0.7× 19 748
Catarina Cruzeiro Portugal 24 616 1.1× 623 1.5× 92 0.7× 80 0.9× 79 1.1× 52 1.1k
L.‐T. Ou United States 16 310 0.5× 600 1.5× 257 2.1× 45 0.5× 65 0.9× 34 953
Lance J. Schuler United States 14 450 0.8× 413 1.0× 90 0.7× 81 0.9× 46 0.6× 21 634
Graham Whale United Kingdom 16 594 1.0× 371 0.9× 42 0.3× 49 0.6× 68 0.9× 33 971
van Vlaardingen Netherlands 13 575 1.0× 536 1.3× 46 0.4× 36 0.4× 104 1.4× 43 890
Marc Bonnard France 16 368 0.6× 300 0.7× 67 0.5× 65 0.8× 47 0.6× 26 656
John T. McCloskey United States 12 418 0.7× 259 0.6× 45 0.4× 48 0.6× 43 0.6× 14 632
Jacques J.M. Bedaux Netherlands 7 412 0.7× 313 0.8× 88 0.7× 67 0.8× 64 0.9× 10 620

Countries citing papers authored by M.C. Riva

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.C. Riva

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Riva. A scholar is included among the top collaborators of M.C. Riva 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 M.C. Riva. M.C. Riva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Riva, M.C., et al.. (2025). Potencial dos resíduos de Agave sisalana na produção de biocombustíveis de segunda geração: revisão sistemática. SHILAP Revista de lepidopterología. 9. e1686–e1686.
2.
Vigués, Núria, et al.. (2016). Paper-based chromatic toxicity bioassay by analysis of bacterial ferricyanide reduction. Analytica Chimica Acta. 910. 60–67. 15 indexed citations
3.
Barata, Carlos, et al.. (2013). Heavy metal content in oysters (Crassostrea gigas) cultured in the Ebro Delta in Catalonia, Spain. Environmental Monitoring and Assessment. 185(8). 6783–6792. 18 indexed citations
4.
Damásio, Joana, Alícia Navarro-Ortega, Romá Tauler, et al.. (2010). Identifying major pesticides affecting bivalve species exposed to agricultural pollution using multi-biomarker and multivariate methods. Ecotoxicology. 19(6). 1084–1094. 47 indexed citations
5.
6.
Barata, Carlos, et al.. (2008). A Daphnia magna feeding bioassay as a cost effective and ecological relevant sublethal toxicity test for Environmental Risk Assessment of toxic effluents. The Science of The Total Environment. 405(1-3). 78–86. 77 indexed citations
7.
Riva, M.C., et al.. (2007). Acute toxicity of leather processing effluents on vidrio fischeri and branchydanio rerio. Afinidad. 64(528). 182–188. 2 indexed citations
8.
Damásio, Joana, Lúcia Guilhermino, Amadeu M.V.M. Soares, M.C. Riva, & Carlos Barata. (2007). Biochemical mechanisms of resistance in Daphnia magna exposed to the insecticide fenitrothion. Chemosphere. 70(1). 74–82. 48 indexed citations
9.
Quirós, Laia, Benjamı́n Piña, Montserrat Solé, et al.. (2007). Environmental monitoring by gene expression biomarkers in Barbus graellsii: Laboratory and field studies. Chemosphere. 67(6). 1144–1154. 55 indexed citations
10.
Barata, Carlos, Joana Damásio, M. A. López, et al.. (2007). Combined use of biomarkers and in situ bioassays inDaphnia magnato monitor environmental hazards of pesticides in the field. Environmental Toxicology and Chemistry. 26(2). 370–379. 84 indexed citations
11.
Barata, Carlos, Donald J. Baird, António J.A. Nogueira, Amadeu M.V.M. Soares, & M.C. Riva. (2006). Toxicity of binary mixtures of metals and pyrethroid insecticides to Daphnia magna Straus. Implications for multi-substance risks assessment. Aquatic Toxicology. 78(1). 1–14. 183 indexed citations
12.
Riva, M.C., et al.. (2005). Cytotoxicity of Leather Processing Effluents on the RTG-2 Fish Cell Line. Bulletin of Environmental Contamination and Toxicology. 75(1). 34–41. 4 indexed citations
13.
Filali-Meknassi, Youssef, R. D. Tyagi, Rao Y. Surampalli, Carlos Barata, & M.C. Riva. (2003). Endocrine-Disrupting Compounds in Wastewater, Sludge-Treatment Processes, and Receiving Waters: Overview. Practice Periodical of Hazardous Toxic and Radioactive Waste Management. 8(1). 39–56. 47 indexed citations
14.
Riva, M.C., et al.. (2002). Organochlorine Pesticide Residue Concentrations in Shrimps, Sediments, and Surface Water from Bay of Ohuira, Topolobampo, Sinaloa, Mexico. Bulletin of Environmental Contamination and Toxicology. 68(4). 532–539. 27 indexed citations
15.
Torrades, Francesc, et al.. (2001). Removal of organic contaminants in bleached kraft effluents using heterogeneous photocatalysis and ozone. TAPPI Journal. 84(6). 63. 12 indexed citations
16.
Riva, M.C., et al.. (2000). Toxicity values for cationic surfactants. Tenside Surfactants Detergents. 37(5). 290–296. 6 indexed citations
17.
18.
Riva, M.C., et al.. (1994). Effect of components of the textile mothproofing process on three freshwater microalgae species. Bulletin of Environmental Contamination and Toxicology. 52(2). 292–7. 3 indexed citations
19.
Cegarra, José Carlos Conesa, et al.. (1994). Comparison of stabilisers for wool bleaching with hydrogen peroxide. Journal of the Society of Dyers and Colourists. 110(9). 308–310. 5 indexed citations
20.
Riva, M.C., R. Flos, Michele Crespi, & Juan Balasch. (1981). Lethal potassium dichromate and whitening (Blankophor) exposure of goldfish (carassius auratus): Chromium levels in gills. Comparative Biochemistry and Physiology Part C Comparative Pharmacology. 68(2). 161–165. 9 indexed citations

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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