João Vaz‐Silva

19 total papers · 562 total citations
10 papers, 403 citations indexed

About

João Vaz‐Silva is a scholar working on Physiology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, João Vaz‐Silva has authored 10 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in João Vaz‐Silva's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). João Vaz‐Silva is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). João Vaz‐Silva collaborates with scholars based in Portugal, United States and Brazil. João Vaz‐Silva's co-authors include Nuno Sousa, Ioannis Sotiropoulos, Osborne F. X. Almeida, Vítor Pinto, Adelina M. Reis, Fernando M. Reis, Robson A.S. Santos, Márcia Cristina França Ferreira, Joana Silva and Christina Dalla and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Cerebral Cortex.

In The Last Decade

João Vaz‐Silva

10 papers receiving 396 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
João Vaz‐Silva	151	98	92	71	69	10	403
Balázs A. Györffy	119 0.8×	110 1.1×	105 1.1×	24 0.3×	41 0.6×	15	391
Gary Odero	70 0.5×	107 1.1×	150 1.6×	38 0.5×	17 0.2×	12	388
Michelle E. Edye	102 0.7×	152 1.6×	74 0.8×	10 0.1×	63 0.9×	11	429
Kaizheng Duan	197 1.3×	152 1.6×	149 1.6×	11 0.2×	21 0.3×	11	421
Miriam Deeny	33 0.2×	47 0.5×	67 0.7×	60 0.8×	62 0.9×	17	371
Alejandra Freire‐Regatillo	172 1.1×	58 0.6×	37 0.4×	20 0.3×	16 0.2×	17	436
Danusa Menegaz	78 0.5×	109 1.1×	34 0.4×	9 0.1×	50 0.7×	11	421
Marcello Polesel	46 0.3×	111 1.1×	34 0.4×	9 0.1×	114 1.7×	12	433
Xavier D. Martin	55 0.4×	126 1.3×	54 0.6×	7 0.1×	46 0.7×	18	429
Ariful Islam	68 0.5×	215 2.2×	82 0.9×	16 0.2×	17 0.2×	12	377

Countries citing papers authored by João Vaz‐Silva

Since Specialization

Citations

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

Fields of papers citing papers by João Vaz‐Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Vaz‐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 João Vaz‐Silva. The network helps show where João Vaz‐Silva may publish in the future.

Co-authorship network of co-authors of João Vaz‐Silva

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

All Works

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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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