Vasco Da Silva

13 total papers · 1.1k total citations
12 papers, 741 citations indexed

About

Vasco Da Silva is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Clinical Biochemistry. According to data from OpenAlex, Vasco Da Silva has authored 12 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Pediatrics, Perinatology and Child Health and 4 papers in Clinical Biochemistry. Recurrent topics in Vasco Da Silva's work include Porphyrin Metabolism and Disorders (12 papers), Neonatal Health and Biochemistry (8 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). Vasco Da Silva is often cited by papers focused on Porphyrin Metabolism and Disorders (12 papers), Neonatal Health and Biochemistry (8 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). Vasco Da Silva collaborates with scholars based in France, United Kingdom and Belgium. Vasco Da Silva's co-authors include Jean‐Charles Deybach, Bernard Grandchamp, Hervé Puy, J. Lamoril, Y Nordmann, Laurent Gouya, Anne-Marie Robréau, Monique Bourgeois, Carole Beaumont and Saı̈d Lyoumi and has published in prestigious journals such as Nature Genetics, Blood and Hepatology.

In The Last Decade

Vasco Da Silva

12 papers receiving 727 citations

Author Peers

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

Author						Papers	Cites
Vasco Da Silva	668	242	203	115	69	12	741
C. Picat	555 0.8×	172 0.7×	210 1.0×	92 0.8×	45 0.7×	21	707
Sarah Ducamp	611 0.9×	141 0.6×	182 0.9×	136 1.2×	31 0.4×	24	791
Arthur Grix	476 0.7×	138 0.6×	162 0.8×	19 0.2×	35 0.5×	13	819
R R Hoopes	573 0.9×	61 0.3×	53 0.3×	126 1.1×	32 0.5×	15	827
Ruth Belostotsky	512 0.8×	144 0.6×	33 0.2×	390 3.4×	77 1.1×	23	803
Cheryll A. Perry	460 0.7×	128 0.5×	417 2.1×	13 0.1×	173 2.5×	17	806
Xiaoyin Shan	393 0.6×	28 0.1×	259 1.3×	50 0.4×	123 1.8×	17	739
Janet Haasjes	524 0.8×	49 0.2×	31 0.2×	95 0.8×	65 0.9×	11	902
Patricia A. Short	453 0.7×	66 0.3×	68 0.3×	60 0.5×	20 0.3×	15	808
Cora Groffen	358 0.5×	109 0.5×	28 0.1×	32 0.3×	15 0.2×	16	766

Countries citing papers authored by Vasco Da Silva

Since Specialization

Citations

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

Fields of papers citing papers by Vasco Da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasco Da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Vasco Da Silva. A scholar is included among the top collaborators of Vasco Da 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 Vasco Da Silva. Vasco Da 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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