Monica Rodríguez-Silva

637 citations
9 papers · 496 indexed · h-index 6
Topics
Mitochondrial Function and Pathology (2 papers)Cancer therapeutics and mechanisms (1 paper)Beetle Biology and Toxicology Studies (1 paper)

In The Last Decade

Monica Rodríguez-Silva

9 papers receiving 488 citations

Peers

Monica Rodríguez-Silva
Comparison fields: 5 of 102
  • Molecular Biology 310
  • Immunology 106
  • Cell Biology 83
  • Biomedical Engineering 73
  • Biomaterials 48
Replace Ashish Nagarsekar with:
Ashish Nagarsekar United States
Michael H. Suhre Germany
Thaís Leite Nascimento Brazil
Shouping Ji China
F. Spies Netherlands
Jukka Sund Finland
O. Caryl Wallis United Kingdom
Isha Khurana India
Andrew C. Brooks United Kingdom
Monica Rodríguez-Silva relative to Ashish Nagarsekar United States Ashish Nagarsekar's profile →
Citations per field
00.5×2.9×
Ashish Nagarsekar · 1×
Citations per year

Countries citing papers authored by Monica Rodríguez-Silva

Since Specialization
Citations

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

Fields of papers citing papers by Monica Rodríguez-Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica Rodríguez-Silva. 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 Monica Rodríguez-Silva. The network helps show where Monica Rodríguez-Silva may publish in the future.

Co-authorship network of co-authors of Monica Rodríguez-Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Rodríguez-Silva. A scholar is included among the top collaborators of Monica Rodríguez-Silva 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 Monica Rodríguez-Silva. Monica Rodríguez-Silva 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
#WorkIndexed citations
1 1
2 2
3 5
4 5
5 39
6 44
7 14
8 354
9 32

About Monica Rodríguez-Silva

Monica Rodríguez-Silva is a scholar working on Fluid Flow and Transfer Processes, Biomaterials and Clinical Biochemistry, having authored 9 papers that have together received 496 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Cancer therapeutics and mechanisms (1 paper) and Beetle Biology and Toxicology Studies (1 paper). The work is most often cited by research in Cell Biology (83 citations), Immunology (106 citations) and Molecular Biology (310 citations). Monica Rodríguez-Silva has collaborated with scholars based in United States, Venezuela and Chile. Frequent co-authors include Juan Carlos Díaz, Claudia Steinem, Antonio De Maio, Nelson Arispe, Tiffany Frey, Virginia L. Vega, Gabriele Multhoff, Mathias Gehrmann, Jeremy W. Chambers and María Ángel García. Their work appears in journals such as The Journal of Immunology, Brain Research and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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