M.M. Alberti

2.3k citations
20 papers · 826 · h-index 13

Impact in

Papers in

M.M. Alberti

20 papers receiving 740 citations

Peers

M.M. Alberti
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 413
  • Nutrition and Dietetics 201
  • Physiology 278
  • Endocrine and Autonomic Systems 32
  • Clinical Biochemistry 30
Replace Fiona Campbell with:
Fiona Campbell Australia
Taous Lassel France
Alex Bickerton United Kingdom
M Uusitupa Finland
F. Bruzzo France
Jennifer A. Williams United States
Micah L. Battson United States
Y Goto Japan
Ana Paula Silva Caldas Brazil
Farihah Hj Suhaimi Malaysia
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Citations per field
00.5×3.3×
Fiona Campbell · 1×
Citations per year

Countries citing papers authored by M.M. Alberti

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Alberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.M. Alberti, 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 M.M. Alberti Line = papers co-authored together M.M. Alberti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1976330
2 1988103
3 199985
4 199845
5 199744
6 197944
7 199630
8 199426
9 199024
10 200018
11 199315
12 198913
13 198512
14 19819
15 19947
16 20056
17 19815
18 19815
19
Association for the Study of Obesity Heart Federation; International Atherosclerosis Society; and International National Heart, Lung, and Blood Institute; American Heart Association; World International Diabetes Federation Task Force on Epidemiology and Prevention; Harmonizing the Metabolic Syndrome: A Joint Interim Statement of the
20094
20
Platelet dysfunction in homozygous beta-thalassemia
19871

About M.M. Alberti

M.M. Alberti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Surgery and Epidemiology, having authored 20 papers that have together received 826 indexed citations. Recurring topics across this work include Diet and metabolism studies (5 papers), Diet, Metabolism, and Disease (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes Management and Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism and Genetic Disorders (3 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (413 citations), Nutrition and Dietetics (201 citations), Physiology (278 citations), Endocrine and Autonomic Systems (32 citations) and Clinical Biochemistry (30 citations). M.M. Alberti has collaborated with scholars based in United Kingdom, Denmark and Australia. Frequent co-authors include G.K. Gitau, DavidJ.A. Jenkins, M.A. Gassull, A. R. Leeds, ThomasM.S Wolever, Jean Claude Mbanya, Roy Taylor, Robert W. Wilkinson, Niels Møller and Murray Stewart. Their work appears in journals such as The Lancet, Biochemical Society Transactions, Analytica Chimica Acta, American Journal of Clinical Nutrition and Journal of Clinical Epidemiology.

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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