María P. Silva

8 papers and 329 indexed citations i.

About

María P. Silva is a scholar working on Epidemiology, Oncology and Neurology. According to data from OpenAlex, María P. Silva has authored 8 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Oncology and 3 papers in Neurology. Recurrent topics in María P. Silva’s work include Neuroendocrine Tumor Research Advances (3 papers), Neuroblastoma Research and Treatments (3 papers) and Lung Cancer Research Studies (3 papers). María P. Silva is often cited by papers focused on Neuroendocrine Tumor Research Advances (3 papers), Neuroblastoma Research and Treatments (3 papers) and Lung Cancer Research Studies (3 papers). María P. Silva collaborates with scholars based in United States, Portugal and Chile. María P. Silva's co-authors include Aaron I. Vinik, Luis A. Díaz‐Robles, Martyn Caplin, Vay Liang W. Go, Etta J. Vinik, Gregory D. Reed, Joshua S. Fu, Alberto Vergara‐Fernández, João D. Barros‐Silva and Joana Vieira and has published in prestigious journals such as Environment International, Genes Chromosomes and Cancer and Endocrinology and Metabolism Clinics of North America.

In The Last Decade

Co-authorship network of co-authors of María P. Silva i

Fields of papers citing papers by María P. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María P. Silva

Since Specialization
Citations

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

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