Liana C. Silva

4.0k citations
63 papers · 3.1k indexed · h-index 30
Topics
Lipid Membrane Structure and Behavior (41 papers)Sphingolipid Metabolism and Signaling (35 papers)Erythrocyte Function and Pathophysiology (11 papers)

In The Last Decade

Liana C. Silva

62 papers receiving 3.1k citations

Peers

Liana C. Silva
Comparison fields: 5 of 128
  • Molecular Biology 2.2k
  • Physiology 537
  • Organic Chemistry 453
  • Cell Biology 311
  • Immunology 302
Replace David A. Spiegel with:
David A. Spiegel United States
Christian F. W. Becker Austria
Daniela Marasco Italy
David N. Brems United States
Atanas V. Koulov United States
David L. Selwood United Kingdom
Rosa Angela Cardone Italy
Carston R. Wagner United States
Alexander Adibekian United States
Jun Qu United States
Liana C. Silva relative to David A. Spiegel United States David A. Spiegel's profile →
Citations per field
00.5×1.5×2.3×
David A. Spiegel · 1×
Citations per year

Countries citing papers authored by Liana C. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Liana C. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liana C. Silva

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 29
3 7
4 15
5 16
6 38
7 21
8 7
9 14
10 24
11 35
12 177
13 0
14 1
15 6
16 43
17 101
18 113
19 44
20 3

About Liana C. Silva

Liana C. Silva is a scholar working on Molecular Biology, Microbiology and Physiology, having authored 63 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (41 papers), Sphingolipid Metabolism and Signaling (35 papers) and Erythrocyte Function and Pathophysiology (11 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Physiology (537 citations) and Biomaterials (253 citations). Liana C. Silva has collaborated with scholars based in Portugal, Israel and United Kingdom. Frequent co-authors include Manuel Prieto, Bruno Sotto-Mayor, Rodrigo F.M. de Almeida, Alexander Fedorov, Anthony H. Futerman, Helena F. Florindo, Sandra N. Pinto, Tânia C.B. Santos, João Conniot and Rogério Gaspar. Their work appears in journals such as Journal of Biological Chemistry, Hepatology and The Journal of Physical Chemistry B.

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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