Fernanda Sá Spies

18 total papers · 420 total citations
11 papers, 326 citations indexed

About

Fernanda Sá Spies is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Fernanda Sá Spies has authored 11 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Fernanda Sá Spies's work include Mycobacterium research and diagnosis (10 papers), Tuberculosis Research and Epidemiology (10 papers) and Infectious Diseases and Tuberculosis (3 papers). Fernanda Sá Spies is often cited by papers focused on Mycobacterium research and diagnosis (10 papers), Tuberculosis Research and Epidemiology (10 papers) and Infectious Diseases and Tuberculosis (3 papers). Fernanda Sá Spies collaborates with scholars based in Brazil, Belgium and United States. Fernanda Sá Spies's co-authors include Maria Lúcia Rosa Rossetti, Arnaldo Zaha, Marta Osório Ribeiro, Pedro Eduardo Almeida da Silva, Daniela Fernandes Ramos, Juan Carlos Palomino, Anandi Martin, Elis Regina Dalla Costa, Gisela Unis and Andréa von Groll and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Bioorganic & Medicinal Chemistry.

In The Last Decade

Fernanda Sá Spies

11 papers receiving 323 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fernanda Sá Spies 291 270 103 77 53 11 326
Charlotte Passemar 196 0.7× 174 0.6× 51 0.5× 78 1.0× 32 0.6× 7 260
Camus Nimmo 246 0.8× 235 0.9× 75 0.7× 75 1.0× 28 0.5× 18 328
Florence Reibel 221 0.8× 193 0.7× 65 0.6× 54 0.7× 66 1.2× 14 350
Melanie Grobbelaar 205 0.7× 181 0.7× 44 0.4× 97 1.3× 64 1.2× 10 321
Jianhao Wei 250 0.9× 228 0.8× 70 0.7× 79 1.0× 69 1.3× 16 320
Christopher A. Kerantzas 214 0.7× 170 0.6× 42 0.4× 88 1.1× 73 1.4× 7 320
В В Ерохин 224 0.8× 199 0.7× 82 0.8× 82 1.1× 18 0.3× 14 325
Nino Bablishvili 296 1.0× 237 0.9× 99 1.0× 56 0.7× 39 0.7× 18 340
Marina Makarova 239 0.8× 218 0.8× 73 0.7× 80 1.0× 51 1.0× 23 334
Hanna Nebenzahl-Guimaraes 263 0.9× 241 0.9× 96 0.9× 99 1.3× 29 0.5× 11 290

Countries citing papers authored by Fernanda Sá Spies

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Sá Spies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda Sá Spies

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

All Works

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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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