Sílvia De Carli

437 citations
33 papers · 317 indexed · h-index 10
Topics
Salmonella and Campylobacter epidemiology (14 papers)Escherichia coli research studies (8 papers)Viral gastroenteritis research and epidemiology (7 papers)

In The Last Decade

Sílvia De Carli

29 papers receiving 312 citations

Peers

Sílvia De Carli
Comparison fields: 5 of 47
  • Food Science 141
  • Endocrinology 95
  • Infectious Diseases 90
  • Molecular Medicine 74
  • Molecular Biology 63
Replace Duangporn Pichpol with:
Duangporn Pichpol Thailand
Ryoko Uemura Japan
Mostafa Y. Abdel‐Glil Germany
Régis Siqueira de Castro Teixeira Brazil
Z. B. Dubal India
Sandra Sevilla‐Navarro Spain
Hyesuk Seo United States
Qingping Luo China
Doris Mueller-Doblies United Kingdom
Nicolás Galarce Chile
Sílvia De Carli relative to Duangporn Pichpol Thailand Duangporn Pichpol's profile →
Citations per field
00.5×1.5×
Duangporn Pichpol · 1×
Citations per year

Countries citing papers authored by Sílvia De Carli

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia De Carli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sílvia De Carli. 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 Sílvia De Carli. The network helps show where Sílvia De Carli may publish in the future.

Co-authorship network of co-authors of Sílvia De Carli

This figure shows the co-authorship network connecting the top 25 collaborators of Sílvia De Carli. A scholar is included among the top collaborators of Sílvia De Carli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sílvia De Carli. Sílvia De Carli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 9
5 1
6 2
7 0
8 0
9 1
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11 5
12 7
13 12
14 8
15 4
16 11
17 3
18 28
19 23
20 71

About Sílvia De Carli

Sílvia De Carli is a scholar working on Endocrinology, Food Science and Molecular Medicine, having authored 33 papers that have together received 317 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (14 papers), Escherichia coli research studies (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Endocrinology (95 citations), Molecular Medicine (74 citations) and Food Science (141 citations). Sílvia De Carli has collaborated with scholars based in Brazil, Switzerland and United States. Frequent co-authors include Vagner Ricardo Lunge, Nilo Ikuta, André Salvador Kazantzi Fonseca, Franciele Maboni Siqueira, Cláudio Wageck Canal, David Driemeier, André Felipe Streck, Tiago Gräf, Jonas Michel Wolf and Samuel Paulo Cibulski. Their work appears in journals such as Analytical Biochemistry, Gene and Poultry Science.

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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