Clara Viñals

644 citations
43 papers · 400 indexed · h-index 11
Topics
Diabetes Management and Research (25 papers)Diabetes and associated disorders (16 papers)Cardiovascular Function and Risk Factors (10 papers)
Partner nations
SpainBrazilChile

In The Last Decade

Clara Viñals

38 papers receiving 397 citations

Peers

Clara Viñals
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 284
  • Genetics 147
  • Surgery 112
  • Cardiology and Cardiovascular Medicine 94
  • General Health Professions 33
Replace MAYUKO H. YAMADA with:
MAYUKO H. YAMADA Japan
Carmen Quirós Spain
Elizabeth Brown United States
Parizad Avari United Kingdom
Alex Zhong United States
Bogdan Vlacho Spain
Mike Grady United States
Samar Banerjee India
Raymie McFarland United States
Viorel Șerban Romania
Clara Viñals relative to MAYUKO H. YAMADA Japan MAYUKO H. YAMADA's profile →
Citations per field
00.5×4.2×
MAYUKO H. YAMADA · 1×
Citations per year

Countries citing papers authored by Clara Viñals

Since Specialization
Citations

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

Fields of papers citing papers by Clara Viñals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Viñals

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Viñals. A scholar is included among the top collaborators of Clara Viñals 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 Clara Viñals. Clara Viñals 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 1
4 3
5 6
6 3
7 5
8 12
9 8
10 23
11 0
12 20
13 4
14 7
15 6
16 56
17 6
18 4
19 4
20 8

About Clara Viñals

Clara Viñals is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 400 indexed citations. Recurring topics across this work include Diabetes Management and Research (25 papers), Diabetes and associated disorders (16 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (284 citations), Health Information Management (28 citations) and Genetics (147 citations). Clara Viñals has collaborated with scholars based in Spain, Brazil and Chile. Frequent co-authors include Marga Giménez, Ignacio Conget, Arthur Bertachi, Daría Roca, Josep Vehı́, Antonio J. Amor, Iván Contreras, Verónica Perea, Enric Esmatjes and Irene Vinagre. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Sensors.

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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