Ângela Novais

4.3k citations
65 papers · 3.1k indexed · 1 hit paper · h-index 27

Ângela Novais

63 papers receiving 3.0k citations

Hit Papers

Dissemination of Clonally RelatedEscherichia coliStrains ...5912008202620142020100200300400500

Peers

Ângela Novais
Comparison fields: 5 of 99
  • Molecular Medicine 2.6k
  • Endocrinology 1.4k
  • Applied Microbiology and Biotechnology 252
  • Pollution 836
  • Clinical Biochemistry 357
Replace Costas C. Papagiannitsis with:
Costas C. Papagiannitsis Czechia
Hanna E. Sidjabat Australia
Brian M. Forde Australia
Danxia Gu China
Aurélie Jayol Switzerland
Liang ZiSen China
Qiwen Yang China
M. R. Mulvey Canada
Luchao Lv China
Jaroslav Hrabák Czechia
Ângela Novais relative to Costas C. Papagiannitsis Czechia Costas C. Papagiannitsis's profile →
Citations per field
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Costas C. Papagiannitsis · 1×
Citations per year

Countries citing papers authored by Ângela Novais

Since Specialization
Citations

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

Fields of papers citing papers by Ângela Novais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 202410
6 20236
7 20235
8 20223
9 202116
10 20213
11 202017
12 202021
13 201924
14 2018105
15 20189
16 2014111
17 201340
18 201314
19 2009153
20 2008474

About Ângela Novais

Ângela Novais is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Clinical Biochemistry and Pollution, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (52 papers), Pharmaceutical and Antibiotic Environmental Impacts (17 papers), Enterobacteriaceae and Cronobacter Research (13 papers), Bacterial Identification and Susceptibility Testing (11 papers), Salmonella and Campylobacter epidemiology (8 papers), Escherichia coli research studies (8 papers), Bacterial biofilms and quorum sensing (7 papers) and Antibiotic Use and Resistance (6 papers). The work is most often cited by research in Molecular Medicine (2.6k citations), Endocrinology (1.4k citations), Applied Microbiology and Biotechnology (252 citations), Pollution (836 citations) and Clinical Biochemistry (357 citations). Ângela Novais has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Luı́sa Peixe, Teresa M. Coque, Rafael Cantón, Fernando Baquero, Elisabete Machado, Carla Rodrigues, Alessandra Carattoli, Laurent Poirel, Ana Valverde and Johann Pitout. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents and Frontiers in Microbiology.

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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