Daniel Prá

61 papers receiving 1.3k citations

Peers

Daniel Prá
Comparison fields: 5 of 140
  • Health, Toxicology and Mutagenesis 236
  • Biochemistry 102
  • Nutrition and Dietetics 207
  • Cancer Research 195
  • Hematology 119
Replace Archana Sharma with:
Archana Sharma India
Silvia Isabel Rech Franke Brazil
Jimmy W. Crott United States
Dongxue Xu China
Madhusudan Das India
Salil K. Das United States
Xuemei Chen China
Yongmei Xiao China
Satya N. Das India
Francisco de Assis Rocha Neves Brazil
Daniel Prá relative to Archana Sharma India Archana Sharma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Prá

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 200571
3 201670
4 201269
5 200768
6 200554
7 200951
8 201251
9 200851
10 200548
11 201445
12 200541
13 200740
14 200638
15 201034
16 201333
17 201331
18 201228
19 201027
20 200924

About Daniel Prá

Daniel Prá is a scholar working on Cancer Research, Nutrition and Dietetics, Public Health, Environmental and Occupational Health, Molecular Biology and General Health Professions, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (16 papers), Iron Metabolism and Disorders (8 papers), Obesity, Physical Activity, Diet (7 papers), Trace Elements in Health (6 papers), Vitamin C and Antioxidants Research (5 papers), Folate and B Vitamins Research (5 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (236 citations), Biochemistry (102 citations), Nutrition and Dietetics (207 citations), Cancer Research (195 citations) and Hematology (119 citations). Daniel Prá has collaborated with scholars based in Brazil, Australia and United States. Frequent co-authors include João Antônio Pêgas Henriques, Silvia Isabel Rech Franke, Bernardo Erdtmann, Juliana da Silva, Michael Fenech, Joel Henrique Ellwanger, Diana L. Bordin, Sharbel Weidner Maluf, Johnny Ferraz Dias and Alexandre Rieger. Their work appears in journals such as Anais da Academia Brasileira de Ciências, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, BioMed Research International, Nutrition and Cancer and Nutrition.

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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