531 total citations 8 papers, 176 citations indexed
About
Salvador Vale is a scholar working on Neurology, Pharmacology and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Salvador Vale has authored 8 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 2 papers in Pharmacology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Salvador Vale's work include Oral microbiology and periodontitis research (2 papers), Cancer Research and Treatments (2 papers) and Oral health in cancer treatment (2 papers). Salvador Vale is often cited by papers focused on Oral microbiology and periodontitis research (2 papers), Cancer Research and Treatments (2 papers) and Oral health in cancer treatment (2 papers). Salvador Vale collaborates with scholars based in Mexico. Salvador Vale's co-authors include and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Experimental Biology and Medicine.
This map shows the geographic impact of Salvador Vale'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 Salvador Vale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvador Vale more than expected).
This network shows the impact of papers produced by Salvador Vale. 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 Salvador Vale. The network helps show where Salvador Vale may publish in the future.
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.