Fátima Faria

400 total citations
25 papers, 264 citations indexed

About

Fátima Faria is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Biomaterials. According to data from OpenAlex, Fátima Faria has authored 25 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Biomaterials. Recurrent topics in Fátima Faria's work include Veterinary Oncology Research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Bone Tissue Engineering Materials (4 papers). Fátima Faria is often cited by papers focused on Veterinary Oncology Research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Bone Tissue Engineering Materials (4 papers). Fátima Faria collaborates with scholars based in Portugal, United Kingdom and Brazil. Fátima Faria's co-authors include Alexandra Rêma, Irina Amorim, Ana Colette Maurício, Fátima Gärtner, Carlos Lopes, Berta Martins da Silva, Graça Porto, Oriana Marques, Paula Silva and Arnaud Da Cruz Paula and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Fátima Faria

22 papers receiving 255 citations

Peers

Fátima Faria
Comparison fields: 5 of 72
  • Pulmonary and Respiratory Medicine 68
  • Molecular Biology 67
  • Genetics 57
  • Surgery 51
  • Biomedical Engineering 42
Replace Lionel Faivre with:
Lionel Faivre France
Lilia Levdansky Israel
Denis Baranovskii Russia
Kristen M. Lorentz Switzerland
Irene Oliver‐Vila Spain
Scott Varney United States
Hirohito Mitsuyama Japan
Takeharu Nakamata Japan
Naomi Ogura Japan
Stefan Turkula United States
Lionel Faivre France View profile →
Citations per field, relative to Fátima Faria
Fátima Faria · 1×
Citations per year, relative to Fátima Faria
Fátima Faria · 1×

Countries citing papers authored by Fátima Faria

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Faria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fátima Faria

This figure shows the co-authorship network connecting the top 25 collaborators of Fátima Faria. A scholar is included among the top collaborators of Fátima Faria 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 Fátima Faria. Fátima Faria 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 14
2 1
3 5
4 5
5 5
6 13
7 2
8 18
9 32
10 4
11 4
12 0
13 71
14 13
15 9
16 9
17 3
18 10
19 0
20 2

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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