Ivana R. Sequeira

852 citations
41 papers · 590 indexed · h-index 13
Topics
Diet and metabolism studies (17 papers)Liver Disease Diagnosis and Treatment (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEDiabetes

In The Last Decade

Ivana R. Sequeira

38 papers receiving 587 citations

Peers

Ivana R. Sequeira
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 202
  • Physiology 200
  • Molecular Biology 189
  • Epidemiology 130
  • Surgery 123
Replace Tomás Meroño with:
Tomás Meroño Argentina
Jennifer Taher Canada
Feruze Yılmaz Enç Türkiye
Carolina M. Perdomo Spain
Benli Su China
Ingrid Kazue Mizuno Watanabe Brazil
Aamir Khan India
Eva Lau Portugal
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Ivana R. Sequeira relative to Tomás Meroño Argentina Tomás Meroño's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivana R. Sequeira

Since Specialization
Citations

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

Fields of papers citing papers by Ivana R. Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivana R. Sequeira. 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 Ivana R. Sequeira. The network helps show where Ivana R. Sequeira may publish in the future.

Co-authorship network of co-authors of Ivana R. Sequeira

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana R. Sequeira. A scholar is included among the top collaborators of Ivana R. Sequeira 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 Ivana R. Sequeira. Ivana R. Sequeira 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 1
2 8
3 2
4 1
5 6
6 17
7 0
8 1
9 11
10 15
11 2
12 2
13 4
14 12
15 8
16 5
17 15
18
HbA1c as a marker of prediabetes: a reliable screening tool or not?
20
19 10
20 15

About Ivana R. Sequeira

Ivana R. Sequeira is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Nutrition and Dietetics, having authored 41 papers that have together received 590 indexed citations. Recurring topics across this work include Diet and metabolism studies (17 papers), Liver Disease Diagnosis and Treatment (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (202 citations), Physiology (200 citations) and Gastroenterology (40 citations). Ivana R. Sequeira has collaborated with scholars based in New Zealand, United Kingdom and South Korea. Frequent co-authors include Sally D. Poppitt, Marlena C. Kruger, Roger G. Lentle, Roger D. Hurst, Wilson Yip, Lindsay D. Plank, Loren Skudder‐Hill, Maxim S. Petrov, Juyeon Ko and Jaelim Cho. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

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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