C. Barbieri

75 papers receiving 1.4k citations

Peers

C. Barbieri
Comparison fields: 5 of 104
  • Public Health, Environmental and Occupational Health 840
  • Parasitology 166
  • Epidemiology 587
  • Endocrinology, Diabetes and Metabolism 145
  • Toxicology 28
Replace Cláudia N. Paiva with:
Cláudia N. Paiva Brazil
Takeshi Nara Japan
Birgit Sehested Hansen Denmark
Kenichiro Yamada Japan
María Pilar Aoki Argentina
Marta M. Piras Venezuela
Sally Betz Corradin Switzerland
Balwan Singh United States
Kuljit Singh India
Joachim Geyer Germany
C. Barbieri relative to Cláudia N. Paiva Brazil Cláudia N. Paiva's profile →
Citations per field
00.5×5.8×
Cláudia N. Paiva · 1×
Citations per year

Countries citing papers authored by C. Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by C. Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 1986102
3 201388
4 200984
5 200863
6 199347
7 201045
8 201241
9 199139
10 200735
11 201234
12 199033
13 199331
14 198230
15 199730
16 198529
17 200728
18 198023
19 200523
20 198123

About C. Barbieri

C. Barbieri is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Gastroenterology, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (41 papers), Trypanosoma species research and implications (23 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Gastroesophageal reflux and treatments (7 papers), Gastrointestinal motility and disorders (6 papers), Parasites and Host Interactions (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (840 citations), Parasitology (166 citations), Epidemiology (587 citations), Endocrinology, Diabetes and Metabolism (145 citations) and Toxicology (28 citations). C. Barbieri has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Simone Katz, Roberto Caldara, Carlo Ferrari, Edna Freymüller, Selma Giorgio, Erney P. Camargo, Rodrigo L.O.R. Cunha, Wagner Alves de Souza Júdice, A. Dubini and Elisabeth Níglio de Figueiredo. Their work appears in journals such as European Journal of Clinical Pharmacology, Experimental Parasitology, Infection and Immunity, American Journal of Tropical Medicine and Hygiene and Clinical and Vaccine Immunology.

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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