M. Mena

609 total citations
45 papers, 442 citations indexed

About

M. Mena is a scholar working on Radiological and Ultrasound Technology, Cardiology and Cardiovascular Medicine and Global and Planetary Change. According to data from OpenAlex, M. Mena has authored 45 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiological and Ultrasound Technology, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Global and Planetary Change. Recurrent topics in M. Mena's work include Radioactivity and Radon Measurements (21 papers), Radioactive contamination and transfer (7 papers) and Earthquake Detection and Analysis (6 papers). M. Mena is often cited by papers focused on Radioactivity and Radon Measurements (21 papers), Radioactive contamination and transfer (7 papers) and Earthquake Detection and Analysis (6 papers). M. Mena collaborates with scholars based in Spain, Mexico and France. M. Mena's co-authors include N. Segovia, M. Monnin, P. Peña, J.L. Seidel, Gonzalo Luis Alonso Salinas, José Luis Zamorano Gómez, Marcelo Sanmartı́n, Servando De la Cruz‐Reyna, Elsa Támez and Alejandro Recio‐Mayoral and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

M. Mena

42 papers receiving 425 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. Mena Spain 11 174 160 115 70 59 45 442
Nezahat Hunter United Kingdom 20 392 2.3× 41 0.3× 9 0.1× 6 0.1× 145 2.5× 37 995
Sofia Kottou Greece 17 30 0.2× 180 1.1× 42 0.4× 4 0.1× 5 0.1× 43 991
K A Richardson United States 10 13 0.1× 137 0.9× 33 0.3× 30 0.4× 16 0.3× 24 445
Kerstin Folkerts Germany 14 89 0.5× 159 1.0× 4 0.0× 3 0.0× 35 0.6× 38 438
Xiaoli Liu China 12 9 0.1× 66 0.4× 21 0.2× 9 0.1× 88 1.5× 57 584
Jacques Bezuidenhout South Africa 12 170 1.0× 58 0.4× 25 0.2× 88 1.5× 58 621
Stelios Christofides Cyprus 9 384 2.2× 11 0.1× 22 0.2× 117 2.0× 15 537
Werner Hofmann Germany 12 85 0.5× 17 0.1× 21 0.3× 19 0.3× 101 619
Olalla Castro‐Añón Spain 18 189 1.1× 91 0.6× 3 0.0× 3 0.0× 73 1.2× 56 1.0k
Leonor Varela‐Lema Spain 13 127 0.7× 27 0.2× 3 0.0× 49 0.8× 106 944

Countries citing papers authored by M. Mena

Since Specialization
Citations

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

Fields of papers citing papers by M. Mena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mena. A scholar is included among the top collaborators of M. Mena 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. Mena. M. Mena 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.
Mena, M., et al.. (2025). Vancomycin Population Pharmacokinetic Models in Non- Critically Ill Adults Patients: a scoping review. F1000Research. 11. 1513–1513. 1 indexed citations
2.
Mena, M., et al.. (2024). Profiling the combination of bupropion and dextromethorphan as a treatment option for major depressive disorder. Expert Review of Neurotherapeutics. 24(9). 837–848. 1 indexed citations
3.
Mena, M., Julio César García Casallas, & Rosa‐Helena Bustos. (2023). Implementing Vancomycin Population Pharmacokinetic Models: An App for Individualized Antibiotic Therapy in Critically Ill Patients. Antibiotics. 12(2). 301–301. 2 indexed citations
4.
Viana‐Tejedor, Ana, Rut Andrea, Albert Ariza‐Solé, et al.. (2022). Coronary angiography in patients without ST-segment elevation following out-of-hospital cardiac arrest. COUPE clinical trial. Revista Española de Cardiología (English Edition). 76(2). 94–102. 4 indexed citations
5.
Moreno, Raúl, Joaquín Alonso, Jaime Elı́zaga, et al.. (2020). Age and Gender influence on time of arrival for STEMI patients during Covid-19 pandemic. The American Journal of Emergency Medicine. 42. 244–245. 10 indexed citations
6.
Mena, M., et al.. (2019). Mesh migration after hiatal hernia repair. Indian Journal of Gastroenterology. 38(5). 462–464. 4 indexed citations
7.
Castillo, A Marco Del, et al.. (2019). Safety of a Very Early Discharge Strategy for ST-segment Elevation Acute Coronary Syndrome. Revista Española de Cardiología (English Edition). 72(10). 874–875.
8.
Salinas, Gonzalo Luis Alonso, Marcelo Sanmartı́n, Leonardo Mejia Rincon, et al.. (2018). P6286Role of Frailty on acute coronary syndromes in the elderly. European Heart Journal. 39(suppl_1). 1 indexed citations
9.
Salinas, Gonzalo Luis Alonso, Marcelo Sanmartı́n, A Marco Del Castillo, et al.. (2016). Frailty predicts major bleeding within 30 days in elderly patients with Acute Coronary Syndrome. International Journal of Cardiology. 222. 590–593. 57 indexed citations
10.
Salinas, Gonzalo Luis Alonso, et al.. (2016). Clinical Experience with Ivabradine in Acute Heart Failure. Cardiology. 134(3). 372–374. 20 indexed citations
11.
Salinas, Gonzalo Luis Alonso, Marcelo Sanmartı́n, Roberto Martín‐Asenjo, et al.. (2016). Frailty is a short-term prognostic marker in acute coronary syndrome of elderly patients. European Heart Journal Acute Cardiovascular Care. 5(5). 434–440. 59 indexed citations
12.
Muñoz, Daniel, et al.. (2015). Ventricular septal rupture in a case of myocardial infarction with normal coronary arteries: Case report. Revista Portuguesa de Cardiologia. 35(1). 63.e1–63.e5. 6 indexed citations
13.
Tahoces, Luisa Salido, et al.. (2015). Disección coronaria multivaso posparto. Revista Argentina de Cardiología. 83(2). 152–154. 1 indexed citations
14.
Figuero, S Briongos, et al.. (2013). BLOOD HYPEROSMOLARITY AS A PREDICTOR OF MORTALITY IN PATIENTS AFTER ACUTE CORONARY SYNDROME: HOW DEHYDRATION AFFECTS THE PROGNOSIS OF OUR PATIENTS. Journal of the American College of Cardiology. 61(10). E196–E196. 24 indexed citations
15.
Mena, M., et al.. (2003). Criterios terapéuticos en el síndrome coronario agudo. Revista Clínica Española. 203(2). 83–85. 3 indexed citations
16.
Segovia, N. & M. Mena. (1999). Soil radon pulses related to the initial phase of volcanic euruptions. CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton). 22(304). 275–279. 7 indexed citations
17.
Aiken, Carlos L. V., et al.. (1997). Integrated studies of Mexico with gravity, magnetic, and GIS database. The Leading Edge. 16(12). 1779–1786. 8 indexed citations
18.
19.
Isabelle, D.B., M. Mena, M. Monnin, et al.. (1986). Radon emanation related to geothermal faults. International Journal of Radiation Applications and Instrumentation Part D Nuclear Tracks and Radiation Measurements. 12(1-6). 875–878. 2 indexed citations
20.
Cruz‐Reyna, Servando De la, et al.. (1985). Radon emanometry in soil gases and activity in ashes from El Chichon Volcano. Pure and Applied Geophysics. 123(3). 407–421. 29 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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