Flávia Rossi

89 papers receiving 1.3k citations

Peers

Flávia Rossi
Comparison fields: 5 of 93
  • Molecular Medicine 490
  • Applied Microbiology and Biotechnology 147
  • Clinical Biochemistry 190
  • Infectious Diseases 442
  • Endocrinology 125
Replace Líbera Maria Dalla-Costa with:
Líbera Maria Dalla-Costa Brazil
Tiziana D’Inzeo Italy
Suzane Silbert United States
S. Ben Redjeb Tunisia
María Ángeles Orellana Spain
Marie-Dominique Kitzis France
Tsigereda Tekle United States
Sofia Maraki Greece
Diego R. Falci Brazil
Simone Aranha Nouér Brazil
Flávia Rossi relative to Líbera Maria Dalla-Costa Brazil Líbera Maria Dalla-Costa's profile →
Citations per field
00.5×1.5×1.8×
Líbera Maria Dalla-Costa · 1×
Citations per year

Countries citing papers authored by Flávia Rossi

Since Specialization
Citations

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

Fields of papers citing papers by Flávia Rossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Flávia Rossi, 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 Flávia Rossi Line = papers co-authored together Flávia Rossi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201098
2 202162
3 201656
4 200748
5 200847
6 201646
7 202245
8 201439
9 201636
10 200333
11 201230
12 201629
13 201729
14 201328
15 201126
16
Resistência bacteriana: interpretando o antibiograma
200525
17 201524
18 201324
19 200923
20 201223

About Flávia Rossi

Flávia Rossi is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Clinical Biochemistry and Pharmacology, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (28 papers), Antifungal resistance and susceptibility (16 papers), Bacterial Identification and Susceptibility Testing (15 papers), Fungal Infections and Studies (14 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotic Use and Resistance (10 papers) and Pneumonia and Respiratory Infections (7 papers). The work is most often cited by research in Molecular Medicine (490 citations), Applied Microbiology and Biotechnology (147 citations), Clinical Biochemistry (190 citations), Infectious Diseases (442 citations) and Endocrinology (125 citations). Flávia Rossi has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include João Nóbrega de Almeida, Hélio Caiaffa-Filho, Adriana Lopes Motta, Marcelo Nascimento Burattini, Sílvia Figueiredo Costa, Ana Paula Cury, Gil Benard, Edson Abdala, Gilda Maria Bárbaro Del Negro and Lígia Câmera Pierrotti. Their work appears in journals such as Journal of Fungi, Diagnostic Microbiology and Infectious Disease, Medical Mycology, Clinical Microbiology and Infection and International Journal of Infectious Diseases.

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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