Sílvia Sequeira

35 papers receiving 748 citations

Peers

Sílvia Sequeira
Comparison fields: 5 of 108
  • Conservation 221
  • Earth-Surface Processes 300
  • Archeology 282
  • Clinical Biochemistry 122
  • Biomaterials 113
Replace Antonia Fernández‐Vivas with:
Antonia Fernández‐Vivas Spain
Kjeld Larsen Denmark
Ricardo M. F. da Costa Portugal
D. Kockott Germany
Ana Clara López Argentina
Nancy N. Jong New Zealand
Mazyar Yazdani Norway
Laurent Garrelly France
Xi Fu China
Mari Shiraki Japan
Sílvia Sequeira relative to Antonia Fernández‐Vivas Spain Antonia Fernández‐Vivas's profile →
Citations per field
00.5×50×122×
Antonia Fernández‐Vivas · 1×
Citations per year

Countries citing papers authored by Sílvia Sequeira

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sílvia Sequeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sílvia Sequeira Line = papers co-authored together Sílvia Sequeira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012119
2 200687
3 201973
4 201857
5 202236
6 200030
7 202028
8 200828
9 201628
10 201926
11 201825
12 201425
13 201324
14 201724
15 201021
16 201618
17 201818
18 201415
19 201613
20 201312

About Sílvia Sequeira

Sílvia Sequeira is a scholar working on Archeology, Earth-Surface Processes, Conservation, Clinical Biochemistry and Molecular Biology, having authored 42 papers that have together received 769 indexed citations. Recurring topics across this work include Building materials and conservation (13 papers), Conservation Techniques and Studies (12 papers), Cultural Heritage Materials Analysis (12 papers), Metabolism and Genetic Disorders (9 papers), Indoor Air Quality and Microbial Exposure (3 papers), Advanced Cellulose Research Studies (3 papers), ATP Synthase and ATPases Research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Conservation (221 citations), Earth-Surface Processes (300 citations), Archeology (282 citations), Clinical Biochemistry (122 citations) and Biomaterials (113 citations). Sílvia Sequeira has collaborated with scholars based in Portugal, United States and Germany. Frequent co-authors include Maria Filomena Macedo, Eurico J. Cabrita, Ana Catarina Pinheiro, Alan J. L. Phillips, João A. Lopes, António Portugal, François Feillet, Olaf A. Bodamer, Ana Cristina Ferreira and Marjorie Dixon. Their work appears in journals such as Journal of Cultural Heritage, International Biodeterioration & Biodegradation, Conservar Património, Molecular Genetics and Metabolism and Brain and Development.

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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