Silvia Martin‐Almedina

11 papers and 468 indexed citations i.

About

Silvia Martin‐Almedina is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Silvia Martin‐Almedina has authored 11 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Oncology. Recurrent topics in Silvia Martin‐Almedina’s work include Lymphatic System and Diseases (3 papers), S100 Proteins and Annexins (3 papers) and Machine Learning in Bioinformatics (2 papers). Silvia Martin‐Almedina is often cited by papers focused on Lymphatic System and Diseases (3 papers), S100 Proteins and Annexins (3 papers) and Machine Learning in Bioinformatics (2 papers). Silvia Martin‐Almedina collaborates with scholars based in United Kingdom, United States and Spain. Silvia Martin‐Almedina's co-authors include Pia Østergaard, Sahar Mansour, Peter Mortimer, María P. Fernández, Reginald O. Morgan, Kristiana Gordon, Steve Jeffery, Juan Manuel Iglesias, Glen Brice and Stanley G. Rockson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Physiological Reviews.

In The Last Decade

Co-authorship network of co-authors of Silvia Martin‐Almedina i

Fields of papers citing papers by Silvia Martin‐Almedina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Martin‐Almedina. 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 Silvia Martin‐Almedina. The network helps show where Silvia Martin‐Almedina may publish in the future.

Countries citing papers authored by Silvia Martin‐Almedina

Since Specialization
Citations

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

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
2025