Sonia Romero

560 citations
8 papers · 442 indexed · h-index 7
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Cardiovascular Disease and Adiposity (3 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)
Partner nations
SpainUnited Kingdom

In The Last Decade

Sonia Romero

8 papers receiving 439 citations

Peers

Sonia Romero
Comparison fields: 5 of 63
  • Physiology 225
  • Cardiology and Cardiovascular Medicine 140
  • Epidemiology 129
  • Endocrinology, Diabetes and Metabolism 118
  • Public Health, Environmental and Occupational Health 97
Replace Amy Nolan with:
Amy Nolan Ireland
Eduardo Garcı́a Spain
Yüksel Doğan Türkiye
Rosario M. Morales Spain
Diana Caroli Italy
Cyue‐Huei Hua Taiwan
A Veneziani Italy
Adelina Tsakova Bulgaria
Sneha Rao United States
Anna Belligoli Italy
Sonia Romero relative to Amy Nolan Ireland Amy Nolan's profile →
Citations per field
00.5×10×14.3×
Amy Nolan · 1×
Citations per year

Countries citing papers authored by Sonia Romero

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Romero

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Romero. A scholar is included among the top collaborators of Sonia Romero 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 Sonia Romero. Sonia Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 11
2 8
3 11
4 55
5 40
6 6
7 111
8 200

About Sonia Romero

Sonia Romero is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Physiology, having authored 8 papers that have together received 442 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Physiology (225 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Cardiology and Cardiovascular Medicine (140 citations). Sonia Romero has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Gema Frühbeck, Camilo Silva, Javier Salvador, Javier Gómez‐Ambrosi, Beatriz Ramírez, Amaia Rodrı́guez, Victoria Catalán, Víctor Valentí, Javier Escalada and Juan C. Galofré. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Obesity.

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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