Bárbara Dal Molin Netto

22 papers receiving 377 citations

Peers

Bárbara Dal Molin Netto
Comparison fields: 5 of 65
  • Physiology 189
  • Surgery 147
  • Epidemiology 100
  • Public Health, Environmental and Occupational Health 85
  • Cardiology and Cardiovascular Medicine 57
Replace Priscila L. Sanches with:
Priscila L. Sanches Brazil
Christine Frithioff‐Bøjsøe Denmark
Enric Sánchez Spain
Shohinee Sarma Canada
E Bobbioni-Harsch Switzerland
Beverly G. Tchang United States
Leigh A. Frame United States
Aruchuna Ruban United Kingdom
Rushika Conroy United States
Sanja Klobučar Majanović Croatia
Bárbara Dal Molin Netto relative to Priscila L. Sanches Brazil Priscila L. Sanches's profile →
Citations per field
00.5×2.9×
Priscila L. Sanches · 1×
Citations per year

Countries citing papers authored by Bárbara Dal Molin Netto

Since Specialization
Citations

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

Fields of papers citing papers by Bárbara Dal Molin Netto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bárbara Dal Molin Netto. 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 Bárbara Dal Molin Netto. The network helps show where Bárbara Dal Molin Netto may publish in the future.

Co-authorship network of co-authors of Bárbara Dal Molin Netto

This figure shows the co-authorship network connecting the top 25 collaborators of Bárbara Dal Molin Netto. A scholar is included among the top collaborators of Bárbara Dal Molin Netto 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 Bárbara Dal Molin Netto. Bárbara Dal Molin Netto 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 8
2 1
3 5
4 0
5 3
6 18
7 18
8 5
9 24
10 10
11 49
12 20
13 35
14 28
15 20
16 59
17 2
18 10
19 26
20 0

About Bárbara Dal Molin Netto

Bárbara Dal Molin Netto is a scholar working on Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (8 papers), Diet and metabolism studies (8 papers) and Obesity, Physical Activity, Diet (6 papers). The work is most often cited by research in Physiology (189 citations), Endocrine and Autonomic Systems (42 citations) and Pharmacy (30 citations). Bárbara Dal Molin Netto has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Ana Raimunda Dâmaso, Joana Pereira de Carvalho‐Ferreira, Deborah Cristina Landi Masquio, Marco Túlio de Mello, Raquel Munhoz da Silveira Campos, Carrie P. Earthman, Lian Tock, Ana Clemente, Flávia Campos Corgosinho and Aline de Piano. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal Of Nutrition and International Journal of Environmental Research and Public Health.

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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