KGMM Alberti

22 papers and 5.9k indexed citations i.

About

KGMM Alberti is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, KGMM Alberti has authored 22 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in KGMM Alberti’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Treatment and Management (3 papers) and Obesity, Physical Activity, Diet (3 papers). KGMM Alberti is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Treatment and Management (3 papers) and Obesity, Physical Activity, Diet (3 papers). KGMM Alberti collaborates with scholars based in United Kingdom, Australia and Cameroon. KGMM Alberti's co-authors include Scott M. Grundy, Robert H. Eckel, Paul Zimmet, Nigel Unwin, PZ Zimmet, Jean Claude Mbanya, Terry Aspray, Eugène Sobngwi, W Bartley and Léopold Fezeu and has published in prestigious journals such as The Lancet, JAMA and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of KGMM Alberti i

Fields of papers citing papers by KGMM Alberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by KGMM Alberti

Since Specialization
Citations

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

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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