Marcelo E. Silva

24 papers receiving 611 citations

Peers

Marcelo E. Silva
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 134
  • Biochemistry 32
  • Nutrition and Dietetics 79
  • Physiology 115
  • Cardiology and Cardiovascular Medicine 85
Replace Irene O.C.M. Vroegrijk with:
Irene O.C.M. Vroegrijk Netherlands
Maísa Silva Brazil
Noureddine Idris-Khodja Canada
Fiona Campbell Australia
José Vicente Pérez-Girón Spain
Hossein Arefanian Kuwait
Akadiri Yessoufou Benin
Tomás Meroño Argentina
Gilson Masahiro Murata Brazil
Thomas Moeslinger Austria
Marcelo E. Silva relative to Irene O.C.M. Vroegrijk Netherlands Irene O.C.M. Vroegrijk's profile →
Citations per field
00.5×1.6×
Irene O.C.M. Vroegrijk · 1×
Citations per year

Countries citing papers authored by Marcelo E. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo E. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo E. Silva. 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 Marcelo E. Silva. The network helps show where Marcelo E. Silva may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 201584
3 201748
4 200845
5 200343
6 201440
7 200935
8 201334
9 201427
10 200722
11 202118
12 199316
13 198716
14 199916
15 201315
16 200215
17 201311
18 20169
19 19988
20 20147

About Marcelo E. Silva

Marcelo E. Silva is a scholar working on Epidemiology, Molecular Biology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 646 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Birth, Development, and Health (3 papers), Muscle metabolism and nutrition (2 papers), Adipose Tissue and Metabolism (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (134 citations), Biochemistry (32 citations), Nutrition and Dietetics (79 citations), Physiology (115 citations) and Cardiology and Cardiovascular Medicine (85 citations). Marcelo E. Silva has collaborated with scholars based in Brazil, United Kingdom and Russia. Frequent co-authors include Waleska Dornas, Maria Lúcia Pedrosa, Wanderson Geraldo de Lima, Maísa Silva, Deoclécio Alves Chianca, Heberth de Paula, Rinaldo Cardoso dos Santos, Leonardo Máximo Cardoso, Cláudia Martins Carneiro and Eduardo Alves Bambirra. Their work appears in journals such as Brazilian Archives of Biology and Technology, BioMetals, Journal of Molecular and Cellular Cardiology, Journal of Nutrition and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

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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