Kevin A. Martínez

550 total citations
9 papers, 396 citations indexed

About

Kevin A. Martínez is a scholar working on Molecular Biology, Biotechnology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kevin A. Martínez has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biotechnology and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kevin A. Martínez's work include Marine Sponges and Natural Products (5 papers), Algal biology and biofuel production (5 papers) and Microbial Natural Products and Biosynthesis (2 papers). Kevin A. Martínez is often cited by papers focused on Marine Sponges and Natural Products (5 papers), Algal biology and biofuel production (5 papers) and Microbial Natural Products and Biosynthesis (2 papers). Kevin A. Martínez collaborates with scholars based in Italy, Spain and United Kingdom. Kevin A. Martínez's co-authors include Chiara Lauritano, Adrianna Ianora, Giovanna Romano, Assunta Saide, Jesús Martı́n, Fernando Reyes, Bastien Cautain, Mercedes de la Cruz, Caridad Díaz and Marcel Jaspars and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and The Journal of Organic Chemistry.

In The Last Decade

Kevin A. Martínez

9 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin A. Martínez Italy 7 192 129 89 87 49 9 396
O-Nam Kwon South Korea 5 253 1.3× 94 0.7× 159 1.8× 48 0.6× 41 0.8× 21 384
Gaëtane Wielgosz‐Collin France 10 150 0.8× 103 0.8× 152 1.7× 41 0.5× 18 0.4× 16 356
Luca Ambrosino Italy 11 116 0.6× 204 1.6× 36 0.4× 41 0.5× 15 0.3× 31 397
Koki Nagayama Japan 7 98 0.5× 168 1.3× 313 3.5× 33 0.4× 39 0.8× 10 534
Nobuhiro Aburai Japan 14 247 1.3× 194 1.5× 23 0.3× 22 0.3× 66 1.3× 37 515
Stephen J. Kellam United Kingdom 8 98 0.5× 170 1.3× 62 0.7× 50 0.6× 43 0.9× 11 435
Maonian Xu Iceland 12 165 0.9× 139 1.1× 47 0.5× 15 0.2× 17 0.3× 23 479
Fatma Elleuch Tunisia 9 194 1.0× 92 0.7× 50 0.6× 18 0.2× 36 0.7× 17 327
Thomas Roret France 13 124 0.6× 384 3.0× 80 0.9× 61 0.7× 18 0.4× 23 584
Carolina de los Reyes Spain 13 122 0.6× 126 1.0× 114 1.3× 61 0.7× 12 0.2× 17 355

Countries citing papers authored by Kevin A. Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Kevin A. Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin A. Martínez. 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 Kevin A. Martínez. The network helps show where Kevin A. Martínez may publish in the future.

Co-authorship network of co-authors of Kevin A. Martínez

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

All Works

9 of 9 papers shown
2.
Martínez, Kevin A., Assunta Saide, Jesús Martı́n, et al.. (2022). Promising Antiproliferative Compound From the Green Microalga Dunaliella tertiolecta Against Human Cancer Cells. Frontiers in Marine Science. 9. 14 indexed citations
3.
Riccio, Gennaro, Kevin A. Martínez, Adrianna Ianora, & Chiara Lauritano. (2022). De Novo Transcriptome of the Flagellate Isochrysis galbana Identifies Genes Involved in the Metabolism of Antiproliferative Metabolites. Biology. 11(5). 771–771. 8 indexed citations
4.
Riccio, Gennaro, Kevin A. Martínez, Jesús Martı́n, et al.. (2022). Jellyfish as an Alternative Source of Bioactive Antiproliferative Compounds. Marine Drugs. 20(6). 350–350. 15 indexed citations
5.
Saide, Assunta, Kevin A. Martínez, Adrianna Ianora, & Chiara Lauritano. (2021). Unlocking the Health Potential of Microalgae as Sustainable Sources of Bioactive Compounds. International Journal of Molecular Sciences. 22(9). 4383–4383. 66 indexed citations
6.
Lauritano, Chiara, Kevin A. Martínez, Pietro Battaglia, et al.. (2020). First evidence of anticancer and antimicrobial activity in Mediterranean mesopelagic species. Scientific Reports. 10(1). 4929–4929. 24 indexed citations
7.
Martínez, Kevin A., Chiara Lauritano, Giovanna Romano, et al.. (2019). Amphidinol 22, a New Cytotoxic and Antifungal Amphidinol from the Dinoflagellate Amphidinium carterae. Marine Drugs. 17(7). 385–385. 66 indexed citations
8.
Moral, José F. Quı́lez del, Victoriano Domingo, Kevin A. Martínez, et al.. (2019). Mimicking Halimane Synthases: Monitoring a Cascade of Cyclizations and Rearrangements from Epoxypolyprenes. The Journal of Organic Chemistry. 84(21). 13764–13779. 3 indexed citations
9.
Martínez, Kevin A., Chiara Lauritano, Giovanna Romano, & Adrianna Ianora. (2018). Marine Microalgae with Anti-Cancer Properties. Marine Drugs. 16(5). 165–165. 197 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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