Inês V. da Silva

48 total papers · 885 total citations
34 papers, 676 citations indexed

About

Inês V. da Silva is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Inês V. da Silva has authored 34 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Surgery and 6 papers in Physiology. Recurrent topics in Inês V. da Silva's work include Ion Transport and Channel Regulation (21 papers), Pancreatic function and diabetes (8 papers) and ATP Synthase and ATPases Research (6 papers). Inês V. da Silva is often cited by papers focused on Ion Transport and Channel Regulation (21 papers), Pancreatic function and diabetes (8 papers) and ATP Synthase and ATPases Research (6 papers). Inês V. da Silva collaborates with scholars based in Portugal, Spain and Germany. Inês V. da Silva's co-authors include Graça Soveral, Angela Casini, Andreia F. Mósca, Cecília M. P. Rodrigues, Jacinta O. Pinho, Maria Manuela Gaspar, Giuseppe Calamita, Joana P. Miranda, Carlos Cardoso and Per Amstrup Pedersen and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Free Radical Biology and Medicine.

In The Last Decade

Inês V. da Silva

34 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
Inês V. da Silva	405	109	109	108	62	34	676
Ana Madeira	486 1.2×	116 1.1×	100 0.9×	111 1.0×	59 1.0×	24	721
Bin Huang	346 0.9×	72 0.7×	62 0.6×	154 1.4×	28 0.5×	40	781
Keiko Iida	294 0.7×	94 0.9×	72 0.7×	135 1.3×	42 0.7×	36	630
Yajing Liu	436 1.1×	61 0.6×	50 0.5×	71 0.7×	26 0.4×	16	723
Rodney E. Ulane	377 0.9×	87 0.8×	102 0.9×	50 0.5×	61 1.0×	16	698
Maki Fujiwara	328 0.8×	76 0.7×	121 1.1×	40 0.4×	65 1.0×	35	749
Shoji Kawauchi	386 1.0×	89 0.8×	52 0.5×	82 0.8×	39 0.6×	37	777
Ana Paula Martins	367 0.9×	58 0.5×	63 0.6×	65 0.6×	40 0.6×	19	594
G. Olsson	169 0.4×	125 1.1×	61 0.6×	68 0.6×	30 0.5×	28	695
Takehisa Yamada	272 0.7×	60 0.6×	71 0.7×	43 0.4×	21 0.3×	45	561

Countries citing papers authored by Inês V. da Silva

Since Specialization

Citations

This map shows the geographic impact of Inês V. 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 Inês V. 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 Inês V. da Silva more than expected).

Fields of papers citing papers by Inês V. da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inês V. da Silva

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