Sara Silva

32 total papers · 968 total citations
17 papers, 397 citations indexed

About

Sara Silva is a scholar working on Molecular Biology, Microbiology and Neurology. According to data from OpenAlex, Sara Silva has authored 17 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Microbiology and 2 papers in Neurology. Recurrent topics in Sara Silva's work include RNA Interference and Gene Delivery (7 papers), Antimicrobial Peptides and Activities (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Sara Silva is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Antimicrobial Peptides and Activities (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Sara Silva collaborates with scholars based in Portugal, United Kingdom and Estonia. Sara Silva's co-authors include Nuno Vale, António J. Almeida, Diana Duarte, Joana Marto, Lídia Gonçalves, Joaquim C. G. Esteves da Silva, Ana Salomé Correia, Maria João Gouveia, Bárbara Costa and Diana M. A. Crista and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Pharmacological Research.

In The Last Decade

Sara Silva

17 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
Sara Silva	226	73	61	59	49	17	397
Andrew Jallouk	108 0.5×	51 0.7×	41 0.7×	57 1.0×	35 0.7×	22	334
Maohua Chen	168 0.7×	74 1.0×	195 3.2×	46 0.8×	70 1.4×	17	430
Jisang Yoo	215 1.0×	125 1.7×	96 1.6×	20 0.3×	28 0.6×	13	357
Lihua Liang	193 0.9×	69 0.9×	66 1.1×	74 1.3×	22 0.4×	24	421
So Hee Nam	164 0.7×	68 0.9×	92 1.5×	18 0.3×	30 0.6×	23	367
Guangyu Rong	216 1.0×	98 1.3×	109 1.8×	15 0.3×	32 0.7×	16	369
Yu-Fon Chen	143 0.6×	143 2.0×	69 1.1×	55 0.9×	27 0.6×	16	358
Poulami Majumder	161 0.7×	151 2.1×	78 1.3×	19 0.3×	35 0.7×	15	355
Nicholas Flynn	277 1.2×	79 1.1×	61 1.0×	50 0.8×	16 0.3×	17	419
Samira Jafari	191 0.8×	116 1.6×	105 1.7×	17 0.3×	46 0.9×	16	370

Countries citing papers authored by Sara Silva

Since Specialization

Citations

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

Fields of papers citing papers by Sara Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Silva

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