Daniel C. Pimenta

191 papers receiving 3.6k citations

Peers

Daniel C. Pimenta
Comparison fields: 5 of 129
  • Microbiology 545
  • Virology 239
  • Genetics 1.2k
  • Paleontology 253
  • Insect Science 356
Replace Rodrigo G. Stábeli with:
Rodrigo G. Stábeli Brazil
Gandhi Rádis‐Baptista Brazil
Reto Stöcklin Switzerland
Eliane Candiani Arantes Brazil
Adriano M.C. Pimenta Brazil
Marcelo Valle de Sousa Brazil
Michael Richardson Brazil
Richard H. Valente Brazil
Carlos Bloch Brazil
Suely Vilela Sampaio Brazil
Daniel C. Pimenta relative to Rodrigo G. Stábeli Brazil Rodrigo G. Stábeli's profile →
Citations per field
00.5×2×2.7×
Rodrigo G. Stábeli · 1×
Citations per year

Countries citing papers authored by Daniel C. Pimenta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Pimenta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007181
2 2008116
3 2004106
4 2006105
5 200498
6 201080
7 200775
8 200569
9 200765
10 201559
11 200758
12 200958
13 201555
14 201354
15 200654
16 200153
17 200852
18 201351
19 201648
20 201445

About Daniel C. Pimenta

Daniel C. Pimenta is a scholar working on Molecular Biology, Genetics, Microbiology, Organic Chemistry and Pharmacology, having authored 195 papers that have together received 3.7k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (63 papers), Antimicrobial Peptides and Activities (38 papers), Ion channel regulation and function (16 papers), Insect and Pesticide Research (15 papers), Nicotinic Acetylcholine Receptors Study (15 papers), Rabies epidemiology and control (15 papers), Healthcare and Venom Research (14 papers) and Amphibian and Reptile Biology (14 papers). The work is most often cited by research in Microbiology (545 citations), Virology (239 citations), Genetics (1.2k citations), Paleontology (253 citations) and Insect Science (356 citations). Daniel C. Pimenta has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Juliana Mozer Sciani, Marta Maria Antoniazzi, Carlos Jared, Katsuhiro Konno, Ivo Lebrun, Hélio A. Stefani, Antônio Carlos Martins de Camargo, Luís Eduardo Soares Netto, Luiz Juliano and Benedito Barraviera. Their work appears in journals such as Toxicon, ˜The œJournal of venomous animals and toxins including tropical diseases, Toxins, Peptides and Scientific Reports.

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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