Fernanda de Paris

2.2k total citations
61 papers, 1.4k citations indexed

About

Fernanda de Paris is a scholar working on Epidemiology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fernanda de Paris has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 17 papers in Infectious Diseases and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fernanda de Paris's work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (10 papers) and Respiratory viral infections research (7 papers). Fernanda de Paris is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (10 papers) and Respiratory viral infections research (7 papers). Fernanda de Paris collaborates with scholars based in Brazil, United States and Argentina. Fernanda de Paris's co-authors include João Quevedo, Iván Izquierdo, Mônica Ryff Moreira Roca Vianna, Rafael Roesler, Flávio Kapczinski, Afonso Luís Barth, Jorge H. Medina, Miguelina Levi de Stein, Mariana Alonso and Melina Furman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Thorax.

In The Last Decade

Fernanda de Paris

53 papers receiving 1.3k citations

Peers

Fernanda de Paris
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 397
  • Cognitive Neuroscience 339
  • Molecular Biology 315
  • Epidemiology 187
  • Infectious Diseases 171
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Citations per field, relative to Fernanda de Paris
Fernanda de Paris · 1×
Citations per year, relative to Fernanda de Paris
Fernanda de Paris · 1×

Countries citing papers authored by Fernanda de Paris

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda de Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernanda de Paris. 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 Fernanda de Paris. The network helps show where Fernanda de Paris may publish in the future.

Co-authorship network of co-authors of Fernanda de Paris

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda de Paris. A scholar is included among the top collaborators of Fernanda de Paris 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 Fernanda de Paris. Fernanda de Paris 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 1
3 0
4 8
5 14
6
Comparação dos métodos de reação em cadeia da polimerase qualitativo e antigenemia PP65 para o diagnóstico de infecção por citomegalovírus em pacientes imunossuprimidos
0
7 6
8 13
9 9
10 9
11
Proposta de reação em cadeia da polimerase (PCR) semi-nested para pesquisa e diferenciação dos vírus BK e JC = Proposal of semi-nested polimerase chain reaction (PCR) for diagnosing and differentiating BK and JC virus
0
12 40
13 13
14 72
15 73
16 16
17 243
18 41
19 40
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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