Daniela Ribeiro

41.5k citations
69 papers · 2.8k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Daniela Ribeiro

68 papers receiving 2.8k citations

Hit Papers

α-Glucosidase inhibition by flavonoids: anin vitroandin silicostructure–activity relationship study 2017 · 339 citations
3392017202620202023100200300

Peers

Daniela Ribeiro
Comparison fields: 5 of 131
  • Biochemistry 655
  • Endocrinology, Diabetes and Metabolism 524
  • Toxicology 79
  • Pharmacology 389
  • Pharmacology 190
Replace Junhui Pan with:
Junhui Pan China
Maria Russo Italy
Md. Nurul Islam Bangladesh
Xing Hu China
Amélia P. Rauter Portugal
Anas Shamsi India
Vidushi S. Neergheen Mauritius
Maria Halabalaki Greece
Giuseppe Galati Italy
M. Payá Spain
Daniela Ribeiro relative to Junhui Pan China Junhui Pan's profile →
Citations per field
00.5×1.7×
Junhui Pan · 1×
Citations per year

Countries citing papers authored by Daniela Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202311
3 202214
4 202132
5 201938
6 201717
7 201717
8 201736
9 2016181
10 20155
11 20159
12 20141
13 2014100
14 201459
15 201444
16 201326
17 201397
18 201352
19 201053
20 200960

About Daniela Ribeiro

Daniela Ribeiro is a scholar working on Biochemistry, Toxicology, Pharmacology, Pharmacology and Immunology, having authored 69 papers that have together received 2.8k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (11 papers), Synthesis of Organic Compounds (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Synthesis and biological activity (7 papers), Natural Antidiabetic Agents Studies (7 papers), Natural product bioactivities and synthesis (6 papers), Free Radicals and Antioxidants (6 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Biochemistry (655 citations), Endocrinology, Diabetes and Metabolism (524 citations), Toxicology (79 citations), Pharmacology (389 citations) and Pharmacology (190 citations). Daniela Ribeiro has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Eduarda Fernandes, Marisa Freitas, Artur M. S. Silva, Carina Proença, Sara M. Tomé, José L. F. C. Lima, Félix Carvalho, Pedro Alexandrino Fernandes, Cláudia Nunes and Salette Reis. Their work appears in journals such as European Journal of Medicinal Chemistry, Current Medicinal Chemistry, Food and Chemical Toxicology, Free Radical Biology and Medicine and Medicinal Research Reviews.

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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