Daniela Machado

778 citations
20 papers · 551 indexed · h-index 13

Impact in

Papers in

Daniela Machado

18 papers receiving 542 citations

Peers

Daniela Machado
Comparison fields: 5 of 78
  • Microbiology 274
  • Food Science 158
  • Epidemiology 183
  • Nutrition and Dietetics 63
  • Molecular Biology 246
Replace Liisa Lehtoranta with:
Liisa Lehtoranta Finland
Piotr Kochan Poland
Imbi Smidt Estonia
Anna‐Ursula Happel South Africa
Marianne F. L. van den Broek Belgium
Jean-Pierre Lepargneur France
Marc-Christian Domingo Canada
Jay Vornhagen United States
Liza Miller United States
Kavitha R. Dinesh India
Daniela Machado relative to Liisa Lehtoranta Finland Liisa Lehtoranta's profile →
Citations per field
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Liisa Lehtoranta · 1×
Citations per year

Countries citing papers authored by Daniela Machado

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Daniela Machado, 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 Machado Line = papers co-authored together Daniela Machado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20236
5 20235
6 20235
7 202212
8 20227
9 202214
10 202216
11 202112
12 202048
13 2019117
14 201920
15 201962
16 201715
17 201723
18 2016147
19 201627
20 201514

About Daniela Machado

Daniela Machado is a scholar working on Microbiology, Food Science, Clinical Biochemistry, Gastroenterology and Nutrition and Dietetics, having authored 20 papers that have together received 551 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (8 papers), Gut microbiota and health (8 papers), Reproductive tract infections research (5 papers), Urinary Tract Infections Management (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Gastrointestinal motility and disorders (2 papers) and Food composition and properties (1 paper). The work is most often cited by research in Microbiology (274 citations), Food Science (158 citations), Epidemiology (183 citations), Nutrition and Dietetics (63 citations) and Molecular Biology (246 citations). Daniela Machado has collaborated with scholars based in Portugal and Spain. Frequent co-authors include Nuno Cerca, Joana Castro, Ana Palmeira‐de‐Oliveira, José Martinez‐de‐Oliveira, Ana Gomes, José Carlos Andrade, Ana C. Freitas, Catarina Leal Seabra, Sónia Mendo and Sérgio Sousa. Their work appears in journals such as LWT, The ISME Journal, International Journal of Food Microbiology, Frontiers in Bioengineering and Biotechnology and International Journal of Environmental Research and Public Health.

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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