Daniela Brites

50 papers receiving 2.6k citations

Daniela Brites's Hit Papers

Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues 2019 · 290 citations
2900+2+4Years since publication50100150200250

Peers

Daniela Brites
Comparison fields: 5 of 116
  • Infectious Diseases 1.8k
  • Epidemiology 1.3k
  • Molecular Medicine 105
  • Immunology 292
  • Microbiology 77
Replace Yasuo Inoshima with:
Yasuo Inoshima Japan
Mark K. Garfield United States
A. E. Bianco United Kingdom
Marc‐Jan Gubbels United States
Kazuyuki Tanabe Japan
Sergey Kryazhimskiy United States
James D. Wasmuth Canada
Jon T. Skare United States
Fimme Jan van der Wal Netherlands
Guislaine Refrégier France
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Citations per year

Countries citing papers authored by Daniela Brites

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Brites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016304
2
Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues
Hit paper breakdown →
2019290
3 2014259
4 2015218
5 2020146
6 2018134
7 2008124
8 2021123
9 2018105
10 201998
11 201789
12 201160
13 201755
14 201955
15 202346
16 202044
17 201938
18 201836
19 202134
20 201731

About Daniela Brites

Daniela Brites is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Insect Science, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (40 papers), Mycobacterium research and diagnosis (32 papers), Genomics and Phylogenetic Studies (11 papers), Invertebrate Immune Response Mechanisms (6 papers), Evolution and Genetic Dynamics (5 papers), vaccines and immunoinformatics approaches (5 papers), RNA and protein synthesis mechanisms (5 papers) and Insect symbiosis and bacterial influences (4 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Epidemiology (1.3k citations), Molecular Medicine (105 citations), Immunology (292 citations) and Microbiology (77 citations). Daniela Brites has collaborated with scholars based in Switzerland, United States and Tanzania. Frequent co-authors include Gagneux Sebastien, Fabrizio Menardo, Louis Du Pasquier, Chloé Loiseau, Sònia Borrell, Christian Beisel, Mireia Coscollá, Sebastián Duchêne, Dieter Ebert and Andrej Trauner. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, PLoS Pathogens, PLoS ONE, Frontiers in Microbiology and Epidemics.

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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