Alberto Grima

605 citations
9 papers · 505 · h-index 8

Impact in

Papers in

Alberto Grima

9 papers receiving 475 citations

Peers

Alberto Grima
Comparison fields: 5 of 54
  • Endocrinology, Diabetes and Metabolism 190
  • Cardiology and Cardiovascular Medicine 141
  • Complementary and alternative medicine 27
  • Nephrology 17
  • General Health Professions 53
Replace Bjørn Gjelsvik with:
Bjørn Gjelsvik Norway
Hideo Ayame Japan
Jonathan Shaw Australia
Raquel Conceição Brazil
Ted Ganiats United States
Nathalie Eckel Germany
José Nery Praxedes Brazil
Horacio A. Carbajal Argentina
Khurram Nasir United States
Arthur Joseph Asirvatham India
Alberto Grima relative to Bjørn Gjelsvik Norway Bjørn Gjelsvik's profile →
Citations per field
00.5×1.5×
Bjørn Gjelsvik · 1×
Citations per year

Countries citing papers authored by Alberto Grima

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Grima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Alberto Grima, 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 Alberto Grima Line = papers co-authored together Alberto Grima links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005141
2 200879
3 200679
4 200573
5 200967
6 200829
7 201019
8 200516
9 20052

About Alberto Grima

Alberto Grima is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Surgery and General Health Professions, having authored 9 papers that have together received 505 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (2 papers), Cardiovascular Function and Risk Factors (2 papers), Diet and metabolism studies (1 paper), Diabetes Management and Research (1 paper), Obesity, Physical Activity, Diet (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Health and Lifestyle Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (190 citations), Cardiology and Cardiovascular Medicine (141 citations), Complementary and alternative medicine (27 citations), Nephrology (17 citations) and General Health Professions (53 citations). Alberto Grima has collaborated with scholars based in Spain and Cuba. Frequent co-authors include Martín Laclaustra, Alberto Cordero, José Antonio Casasnovas, Emilio Luengo, Eduardo Alegría, Montserrat León, Ignacio Ferreira, Alfonso H. Del Rio, Isaac Pascual and E Alegría. Their work appears in journals such as The American Journal of Cardiology, Preventive Medicine, American Journal of Hypertension, Nutrition Metabolism and Cardiovascular Diseases and Revista Española de Cardiología (English Edition).

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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