Daniela Cosentino‐Gomes

985 citations
25 papers · 836 · h-index 13

Impact in

  • Physiology top 5%
    • Nitric Oxide and Endothelin Effects
    • Adenosine and Purinergic Signaling
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Daniela Cosentino‐Gomes

24 papers receiving 830 citations

Peers

Daniela Cosentino‐Gomes
Comparison fields: 5 of 95
  • Physiology 74
  • Immunology 166
  • Physiology 153
  • Biochemistry 46
  • Nephrology 40
Replace Pablo M. Peixoto with:
Pablo M. Peixoto United States
Ping Lei China
Gry Evjen Norway
Nunzia Pastore Italy
Anna Zborek Poland
S Shimizu Japan
Ryosuke Ishimura Japan
Rafał Kozieł Austria
Marisol Cano United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Cosentino‐Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cosentino‐Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014300
2 2012224
3 200928
4 201926
5 201325
6 201124
7 200824
8 201822
9 201121
10 201420
11 200818
12 201016
13 201114
14 201911
15 202111
16 201510
17 20108
18 20148
19 20217
20 20226

About Daniela Cosentino‐Gomes

Daniela Cosentino‐Gomes is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Physiology and Parasitology, having authored 25 papers that have together received 836 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (7 papers), Research on Leishmaniasis Studies (6 papers), Adenosine and Purinergic Signaling (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Neonatal Health and Biochemistry (3 papers), Parasitic Infections and Diagnostics (3 papers), Biochemical and Molecular Research (3 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Physiology (74 citations), Immunology (166 citations), Physiology (153 citations), Biochemistry (46 citations) and Nephrology (40 citations). Daniela Cosentino‐Gomes has collaborated with scholars based in Brazil and United States. Frequent co-authors include José Roberto Meyer‐Fernandes, Nathália Rocco-Machado, Becky A. Diebold, Yukio Nisimoto, J. David Lambeth, Wanderley de Souza, Adriana Lanfredi‐Rangel, Mariana Figueiredo Rodrigues, Tainá Gomes and Antônio Galina. Their work appears in journals such as Experimental Parasitology, Biochemistry, International Journal of Molecular Sciences, PLoS ONE and Free Radical Biology and Medicine.

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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