María P. Silva

678 total citations
8 papers, 348 citations indexed

About

María P. Silva is a scholar working on Neurology, Oncology and Epidemiology. According to data from OpenAlex, María P. Silva has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in María P. Silva's work include Neuroblastoma Research and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Lung Cancer Research Studies (3 papers). María P. Silva is often cited by papers focused on Neuroblastoma Research and Treatments (3 papers), Neuroendocrine Tumor Research Advances (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, Etta J. Vinik, Vay Liang W. Go, Martyn Caplin, Alberto Vergara‐Fernández, Joshua S. Fu, Gregory D. Reed, Joana Vieira and Manuel R. Teixeira 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

María P. Silva

8 papers receiving 342 citations

Peers

María P. Silva
Comparison fields: 5 of 68
  • Epidemiology 141
  • Health, Toxicology and Mutagenesis 138
  • Oncology 131
  • Neurology 112
  • Pollution 59
Replace Matthew H. Secrest with:
Matthew H. Secrest United States
Luca Olgiati Italy
Xiaoli Sun China
Aaron Blair United States
Haochen Wang China
Xiang Bu China
Gianfranco De Girolamo Italy
Jong‐Ho Kim South Korea
Ming Chu China
Jôse Mára de Brito Brazil
Matthew H. Secrest United States View profile →
Citations per field, relative to María P. Silva
María P. Silva · 1×
Citations per year, relative to María P. Silva
María P. Silva · 1×

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).

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.

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

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 2
2 12
3 13
4 68
5 25
6 94
7 35
8 99

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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