Rita Francisco

2.5k total citations · 1 hit paper
39 papers, 1.6k citations indexed

About

Rita Francisco is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Rita Francisco has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Genetics. Recurrent topics in Rita Francisco's work include Glycosylation and Glycoproteins Research (16 papers), Genomics and Rare Diseases (10 papers) and Lysosomal Storage Disorders Research (10 papers). Rita Francisco is often cited by papers focused on Glycosylation and Glycoproteins Research (16 papers), Genomics and Rare Diseases (10 papers) and Lysosomal Storage Disorders Research (10 papers). Rita Francisco collaborates with scholars based in Portugal, Belgium and United States. Rita Francisco's co-authors include M. M. Chaves, J.M. Costa, Olfa Zarrouk, Carlos M. Lopes, Ana Regalado, M. L. Rodrigues, T. P. dos Santos, Vanessa dos Reis Ferreira, Jaak Jaeken and Carlota Pascoal and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and International Journal of Environmental Research and Public Health.

In The Last Decade

Rita Francisco

36 papers receiving 1.6k citations

Hit Papers

Grapevine under deficit irrigation: hints from physiologi... 2010 2026 2015 2020 2010 200 400 600

Peers

Rita Francisco
Comparison fields: 5 of 124
  • Plant Science 800
  • Molecular Biology 645
  • Food Science 402
  • Global and Planetary Change 338
  • Genetics 200
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Citations per field, relative to Rita Francisco
Rita Francisco · 1×
Citations per year, relative to Rita Francisco
Rita Francisco · 1×

Countries citing papers authored by Rita Francisco

Since Specialization
Citations

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

Fields of papers citing papers by Rita Francisco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Francisco

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Francisco. A scholar is included among the top collaborators of Rita Francisco 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 Rita Francisco. Rita Francisco 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
# Work Indexed citations
1 0
2 0
3 2
4 7
5 19
6 14
7 7
8 4
9 5
10 12
11 24
12 91
13 65
14 81
15 32
16 27
17 28
18
Grapevine under deficit irrigation: hints from physiological and molecular data breakdown →
638
19 36
20 1

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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