Anna Farra

1.0k citations
32 papers · 453 · h-index 13

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 4
    • SARS-CoV-2 and COVID-19 Research 2
    • COVID-19 Clinical Research Studies 2
    • Antibiotic Resistance in Bacteria 10

Anna Farra

27 papers receiving 432 citations

Peers

Anna Farra
Comparison fields: 5 of 82
  • Molecular Medicine 176
  • Applied Microbiology and Biotechnology 37
  • Endocrinology 67
  • Virology 58
  • Clinical Biochemistry 31
Replace Güven Çelebi with:
Güven Çelebi Türkiye
Hayati Demiraslan Türkiye
Mabula Kasubi Tanzania
Thong Phe Belgium
D. Krahé United Kingdom
Manisha Biswal India
Bonnie Meatherall Canada
Ashley Styczynski United States
Hsi-Hsun Lin Taiwan
Sergio Borgia Canada
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Citations per field
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Citations per year

Countries citing papers authored by Anna Farra

Since Specialization
Citations

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

Fields of papers citing papers by Anna Farra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200582
2 200669
3 200862
4 201637
5 201328
6 201520
7 201218
8 200316
9 200215
10 200215
11 201813
12 201812
13 200512
14 202210
15 20179
16 20226
17 20226
18 20244
19 20233
20 20233

About Anna Farra

Anna Farra is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Applied Microbiology and Biotechnology and Molecular Biology, having authored 32 papers that have together received 453 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antibiotic Use and Resistance (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Pneumonia and Respiratory Infections (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genomics and Phylogenetic Studies (2 papers), COVID-19 Clinical Research Studies (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Molecular Medicine (176 citations), Applied Microbiology and Biotechnology (37 citations), Endocrinology (67 citations), Virology (58 citations) and Clinical Biochemistry (31 citations). Anna Farra has collaborated with scholars based in Lebanon, United States and Sweden. Frequent co-authors include Bengt Wretlind, G Kronvall, Lars Sundström, Malin Grape, Mikael Sörberg, Sohidul Islam, Annelie Strålfors, Bo Settergren, Jacques Mokhbat and Katarina Westling. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Interprofessional Care, The Lancet Global Health, Medicine and Acta Tropica.

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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