María G. Rivas

717 total citations
36 papers, 569 citations indexed

About

María G. Rivas is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Plant Science. According to data from OpenAlex, María G. Rivas has authored 36 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in María G. Rivas's work include Metalloenzymes and iron-sulfur proteins (17 papers), Metal-Catalyzed Oxygenation Mechanisms (7 papers) and Microbial Fuel Cells and Bioremediation (6 papers). María G. Rivas is often cited by papers focused on Metalloenzymes and iron-sulfur proteins (17 papers), Metal-Catalyzed Oxygenation Mechanisms (7 papers) and Microbial Fuel Cells and Bioremediation (6 papers). María G. Rivas collaborates with scholars based in Argentina, Portugal and France. María G. Rivas's co-authors include Isabel Moura, Carlos D. Brondino, José J. G. Moura, Pablo J. González, Cristiano Mota, José Luís Capelo, A.M. Gennaro, Nuno M. F. S. A. Cerqueira, Maria João Romão and R. Rial‐Otero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accounts of Chemical Research and The Journal of Physical Chemistry B.

In The Last Decade

María G. Rivas

34 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María G. Rivas Argentina 14 238 183 138 59 59 36 569
Jorge Lampreia Portugal 13 113 0.5× 166 0.9× 66 0.5× 71 1.2× 16 0.3× 20 401
Frank O. Bryant United States 11 232 1.0× 404 2.2× 110 0.8× 54 0.9× 39 0.7× 12 747
Cristiano Mota Portugal 11 229 1.0× 175 1.0× 77 0.6× 37 0.6× 46 0.8× 20 434
G. A. Ashby United Kingdom 11 217 0.9× 262 1.4× 70 0.5× 40 0.7× 9 0.2× 12 644
James J. Kiddle United States 17 43 0.2× 219 1.2× 59 0.4× 23 0.4× 37 0.6× 32 915
Vincenzo De Felice Italy 21 200 0.8× 74 0.4× 388 2.8× 39 0.7× 29 0.5× 63 1.2k
Kandasamy G. Moodley South Africa 13 147 0.6× 94 0.5× 162 1.2× 11 0.2× 27 0.5× 36 607
Kayunta Johnson‐Winters United States 15 246 1.0× 228 1.2× 199 1.4× 11 0.2× 26 0.4× 25 598
Han Gao China 17 65 0.3× 113 0.6× 122 0.9× 9 0.2× 35 0.6× 38 891
Joyce E. Morningstar United States 12 349 1.5× 234 1.3× 234 1.7× 60 1.0× 10 0.2× 13 634

Countries citing papers authored by María G. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by María G. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María G. Rivas. 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 María G. Rivas. The network helps show where María G. Rivas may publish in the future.

Co-authorship network of co-authors of María G. Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of María G. Rivas. A scholar is included among the top collaborators of María G. Rivas 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 María G. Rivas. María G. Rivas 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
2.
González, Pablo J., et al.. (2024). Replacement of the essential catalytic aspartate with serine leads to an active form of copper-containing nitrite reductase from the denitrifier Sinorhizobium meliloti 2011. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1873(2). 141062–141062.
3.
Stanfill, Stephen B., Stephen S. Hecht, Andreas C. Joerger, et al.. (2023). From cultivation to cancer: formation of N -nitrosamines and other carcinogens in smokeless tobacco and their mutagenic implications. Critical Reviews in Toxicology. 53(10). 658–701. 13 indexed citations
4.
5.
González, Pablo J., et al.. (2021). Electron transfer pathways and spin–spin interactions in Mo- and Cu-containing oxidoreductases. Coordination Chemistry Reviews. 449. 214202–214202. 5 indexed citations
7.
Rivas, María G., et al.. (2020). Studying Electron Transfer Pathways in Oxidoreductases. 1(2). 6–23. 1 indexed citations
9.
Otrelo-Cardoso, Ana Rita, Rashmi Ravindran Nair, M.A.S. Correia, et al.. (2017). Highly selective tungstate transporter protein TupA from Desulfovibrio alaskensis G20. Scientific Reports. 7(1). 5798–5798. 10 indexed citations
10.
Rivas, María G., et al.. (2015). The homopentameric chlorite dismutase from Magnetospirillum sp.. Journal of Inorganic Biochemistry. 151. 1–9. 13 indexed citations
11.
Neuman, Nicolás I., et al.. (2014). Pseudoazurin from Sinorhizobium meliloti as an electron donor to copper-containing nitrite reductase: influence of the redox partner on the reduction potentials of the enzyme copper centers. JBIC Journal of Biological Inorganic Chemistry. 19(6). 913–921. 16 indexed citations
12.
Mota, Cristiano, María G. Rivas, Carlos D. Brondino, et al.. (2011). The mechanism of formate oxidation by metal-dependent formate dehydrogenases. JBIC Journal of Biological Inorganic Chemistry. 16(8). 1255–1268. 71 indexed citations
13.
Rivas, María G., et al.. (2011). Nitrate reduction associated with respiration in Sinorhizobium meliloti 2011 is performed by a membrane-bound molybdoenzyme. BioMetals. 24(5). 891–902. 4 indexed citations
14.
Rivas, María G., Marta S. P. Carepo, Cristiano Mota, et al.. (2009). Molybdenum Induces the Expression of a Protein Containing a New Heterometallic Mo-Fe Cluster in Desulfovibrio alaskensis. Biochemistry. 48(5). 873–882. 21 indexed citations
15.
Santos, Hugo M., Ricardo J. Carreira, Mário Diniz, et al.. (2009). Ultrasonic multiprobe as a new tool to overcome the bottleneck of throughput in workflows for protein identification relaying on ultrasonic energy. Talanta. 81(1-2). 55–62. 8 indexed citations
16.
Rivas, María G., Pablo J. González, Carlos D. Brondino, José J. G. Moura, & Isabel Moura. (2007). EPR characterization of the molybdenum(V) forms of formate dehydrogenase from Desulfovibrio desulfuricans ATCC 27774 upon formate reduction. Journal of Inorganic Biochemistry. 101(11-12). 1617–1622. 36 indexed citations
17.
Carreira, Ricardo J., Artur J. Moro, María G. Rivas, et al.. (2006). New findings for in-gel digestion accelerated by high-intensity focused ultrasound for protein identification by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Journal of Chromatography A. 1153(1-2). 291–299. 29 indexed citations
18.
Capelo, José Luís, María G. Rivas, M. Galésio, et al.. (2005). Mercury determination by FI-CV-AAS after the degradation of organomercurials with the aid of an ultrasonic field: The important role of the hypochlorite ion. Talanta. 68(3). 813–818. 19 indexed citations
20.
Rivas, María G. & A.M. Gennaro. (2003). Detergent resistant domains in erythrocyte membranes survive after cell cholesterol depletion: an EPR spin label study. Chemistry and Physics of Lipids. 122(1-2). 165–169. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026