M. Ternero

1.6k total citations
41 papers, 1.4k citations indexed

About

M. Ternero is a scholar working on Analytical Chemistry, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, M. Ternero has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Analytical Chemistry, 13 papers in Pollution and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in M. Ternero's work include Analytical chemistry methods development (12 papers), Heavy metals in environment (12 papers) and Electrochemical Analysis and Applications (9 papers). M. Ternero is often cited by papers focused on Analytical chemistry methods development (12 papers), Heavy metals in environment (12 papers) and Electrochemical Analysis and Applications (9 papers). M. Ternero collaborates with scholars based in Spain, Argentina and Peru. M. Ternero's co-authors include A. Espinosa, Francisco J. Barragán de la Rosa, Juan Carlos Jiménez Sánchez, M. Callejón Mochón, J. C. Jiménez Sánchez, Esteban Alonso, Juan C. Jiménez‐Muñoz, Ignacio Gracia, Miguel Valcárcel and D. Pérez‐Bendito and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

M. Ternero

40 papers receiving 1.3k 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. Ternero Spain 15 630 559 314 193 181 41 1.4k
Bruce M. Thomson United States 23 708 1.1× 441 0.8× 516 1.6× 198 1.0× 177 1.0× 64 2.2k
M. Radojević United Kingdom 23 670 1.1× 513 0.9× 444 1.4× 388 2.0× 234 1.3× 50 2.1k
Oddvar Røyset Norway 17 882 1.4× 475 0.8× 185 0.6× 193 1.0× 124 0.7× 30 1.7k
Dragana Đorđević Serbia 24 1.1k 1.8× 612 1.1× 401 1.3× 239 1.2× 110 0.6× 90 1.9k
A. Espinosa Spain 14 536 0.9× 488 0.9× 209 0.7× 186 1.0× 193 1.1× 33 1.2k
Yu Yan China 22 914 1.5× 624 1.1× 197 0.6× 117 0.6× 224 1.2× 59 1.6k
Anna Rigol Spain 28 838 1.3× 698 1.2× 309 1.0× 264 1.4× 104 0.6× 77 2.6k
Feili Li China 25 952 1.5× 512 0.9× 387 1.2× 139 0.7× 130 0.7× 83 2.0k
Daniel Sánchez-Rodas Spain 30 913 1.4× 1.0k 1.8× 168 0.5× 150 0.8× 189 1.0× 75 2.3k
Abbas Esmaili‐Sari Iran 26 530 0.8× 927 1.7× 249 0.8× 74 0.4× 112 0.6× 65 1.7k

Countries citing papers authored by M. Ternero

Since Specialization
Citations

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

Fields of papers citing papers by M. Ternero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ternero

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ternero. A scholar is included among the top collaborators of M. Ternero 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. Ternero. M. Ternero 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.
Posada-Baquero, Rosa, Kirk T. Semple, M. Ternero, & J. J. Ortega Calvo. (2021). Determining the bioavailability of benzo(a)pyrene through standardized desorption extraction in a certified reference contaminated soil. The Science of The Total Environment. 803. 150025–150025. 15 indexed citations
2.
Ternero, M., et al.. (2016). Chemical analysis and nutritional assessment of trace elements in natural mineral waters bottled in Spain. Afinidad. 73(574). 102–118. 3 indexed citations
3.
Ternero, M., et al.. (2013). Caracterización hidroquímica del Valle de Tafí, provincia de Tucumán, República Argentina. 25(1). 9–20. 1 indexed citations
5.
Ternero, M., et al.. (2012). Caracterización fisicoquímica (parámetros generales y componentes mayoritarios) de las aguas minerales naturales envasadas de España. Afinidad. 69(559). 165–174. 1 indexed citations
6.
Ternero, M., et al.. (2011). Optimisation and assessment of an innovative high sensitivity 90-degree reflecting ICP-MS ion optics system for the validation of simultaneous determination of arsenic and selenium in water matrices. International Journal of Environmental & Analytical Chemistry. 91(5). 462–472. 4 indexed citations
7.
Espinosa, A., et al.. (2010). Assessment of the sequential principal component analysis chemometric tool to identify the soluble atmospheric pollutants in rainwater. Analytical and Bioanalytical Chemistry. 399(6). 2031–2041. 7 indexed citations
8.
Ternero, M., et al.. (2008). ACTIVIDAD ANTIHIPERTENSIVA Y ANTIOXIDANTE DEL EXTRACTO HIDROALCOHÓLICO ATOMIZADO DE MAÍZ MORADO (Zea mays L) EN RATAS. SHILAP Revista de lepidopterología. 5 indexed citations
9.
Ternero, M., et al.. (2007). Hidroquímica de la cuenca del río Calera, provincia de Tucumán, República Argentina. Estudios Geológicos. 63(1). 53–63. 1 indexed citations
10.
Maldonado, Luis, et al.. (2006). The effect of different propolis harvest methods on its lead contents determined by ET AAS and UV–visS. Journal of Hazardous Materials. 137(3). 1352–1356. 29 indexed citations
11.
Ternero, M., et al.. (2006). Chemical speciation of trace metals in fine airborne particles: advances in operational performance of a new sequential extraction scheme. International Journal of Environmental & Analytical Chemistry. 86(9). 641–651. 6 indexed citations
12.
Ternero, M., et al.. (2004). Physical speciation of arsenic, mercury, lead, cadmium and nickel in inhalable atmospheric particles. Analytica Chimica Acta. 524(1-2). 33–40. 53 indexed citations
13.
Alonso, Esteban, M. Callejón Mochón, J. C. Jiménez Sánchez, & M. Ternero. (2002). Heavy metal extractable forms in sludge from wastewater treatment plants. Chemosphere. 47(7). 765–775. 279 indexed citations
14.
Espinosa, A., et al.. (2002). Optimization of a Sequential Extraction Scheme for Speciation of Metals in Fine Urban Particles. Toxicological & Environmental Chemistry Reviews. 82(1-2). 59–73. 10 indexed citations
15.
Espinosa, A., M. Ternero, Francisco J. Barragán de la Rosa, & Juan Carlos Jiménez Sánchez. (2001). Size distribution of metals in urban aerosols in Seville (Spain). Atmospheric Environment. 35(14). 2595–2601. 139 indexed citations
16.
Rosa, Francisco J. Barragán de la, et al.. (1991). Determination of Sulphide in Sewage Effluents Using a New Spectrophotometric Method. International Journal of Environmental & Analytical Chemistry. 43(2-3). 91–101.
17.
Ternero, M., et al.. (1986). A Study of the Atmospheric Lead Pollution in Seville, Spain. Influence of Meteorology and Traffic, and Relationship with other Traffic-Generated Pollutants. International Journal of Environmental & Analytical Chemistry. 24(4). 283–295. 6 indexed citations
19.
Ternero, M., D. Pérez‐Bendito, & Miguel Valcárcel. (1981). Semiautomatic indirect titration of alkaline-earth ions with catalytic endpoint indication. Microchemical Journal. 26(1). 61–67. 5 indexed citations
20.
Ternero, M., et al.. (1980). A new kinetic method for the determination of magnesium and its application to natural waters. Microchemical Journal. 25(1). 102–110. 7 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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