Caroline da Silva Moraes

536 citations
20 papers · 397 indexed · h-index 13

Caroline da Silva Moraes

20 papers receiving 393 citations

Peers

Caroline da Silva Moraes
Comparison fields: 5 of 47
  • Insect Science 239
  • Public Health, Environmental and Occupational Health 170
  • Epidemiology 159
  • Biotechnology 32
  • Immunology 70
Replace Marcela B. Figueiredo with:
Marcela B. Figueiredo Brazil
Fátima Silva-Franco Spain
Eliciane Cevolani Mattos Brazil
Chong Han Kim South Korea
Clara Martı́nez Venezuela
David Fernando Plaza Colombia
Yulong Wang China
Małgorzata Kowalczewska France
Marcelo Henrique Santos Paiva Brazil
Andreas Beranek Austria
Caroline da Silva Moraes relative to Marcela B. Figueiredo Brazil Marcela B. Figueiredo's profile →
Citations per field
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Marcela B. Figueiredo · 1×
Citations per year

Countries citing papers authored by Caroline da Silva Moraes

Since Specialization
Citations

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

Fields of papers citing papers by Caroline da Silva Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline da Silva Moraes. 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 Caroline da Silva Moraes. The network helps show where Caroline da Silva Moraes may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 202011
3 202015
4 202018
5 20197
6 201817
7 201820
8 201720
9 201710
10 20174
11 201410
12 201418
13 201222
14 201217
15 201210
16 201214
17 2012102
18 200920
19 200735
20 200623

About Caroline da Silva Moraes

Caroline da Silva Moraes is a scholar working on Insect Science, Biotechnology, Public Health, Environmental and Occupational Health, Epidemiology and Endocrinology, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Research on Leishmaniasis Studies (8 papers), Insect symbiosis and bacterial influences (5 papers), Insect Pest Control Strategies (4 papers), Enzyme Production and Characterization (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Insect Utilization and Effects (3 papers) and Studies on Chitinases and Chitosanases (3 papers). The work is most often cited by research in Insect Science (239 citations), Public Health, Environmental and Occupational Health (170 citations), Epidemiology (159 citations), Biotechnology (32 citations) and Immunology (70 citations). Caroline da Silva Moraes has collaborated with scholars based in Brazil, United Kingdom and Mexico. Frequent co-authors include Patrı́cia Azambuja, Daniele P. Castro, Elói S. Garcia, Fernando Ariel Genta, Marcelo Salabert Gonzalez, Norman A. Ratcliffe, Samara Costa, Rod J. Dillon, Wanderley de Souza and Reginaldo Peçanha Brazil. Their work appears in journals such as Journal of Insect Physiology, Frontiers in Physiology, Experimental Parasitology, Frontiers in Molecular Biosciences and BioMed Research International.

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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