Marco Brogi

619 citations
30 papers · 448 · h-index 11

Impact in

Papers in

Marco Brogi

26 papers receiving 427 citations

Peers

Marco Brogi
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 157
  • Hepatology 33
  • Nephrology 27
  • Genetics 26
  • Physiology 47
Replace Edip Uçar with:
Edip Uçar Türkiye
Shinji Susa Japan
Anna Barbosa-Desongles Spain
Toyohiko Yokoi Japan
A.K.M. Tarikuz Zaman United States
Rika Araki Japan
Alexandra Grill Germany
Hiraku Kameda Japan
Silvia Velázquez-García Spain
E Roper United States
Marco Brogi relative to Edip Uçar Türkiye Edip Uçar's profile →
Citations per field
00.5×1.5×2.5×
Edip Uçar · 1×
Citations per year

Countries citing papers authored by Marco Brogi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Brogi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effects of metformin on glucagon-like peptide-1 levels in obese patients with and without Type 2 diabetes.
2004112
2 200353
3 200643
4 200733
5 195927
6 200223
7 200922
8 201320
9 201717
10 200317
11 201113
12 20228
13 20158
14
Fractal analysis of monocytes in diabetes.
20068
15 20038
16 20207
17 20187
18 20235
19 20154
20 19543

About Marco Brogi

Marco Brogi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 30 papers that have together received 448 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Electrolyte and hormonal disorders (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Inflammatory Bowel Disease (2 papers), Diabetes Management and Research (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (157 citations), Hepatology (33 citations), Nephrology (27 citations), Genetics (26 citations) and Physiology (47 citations). Marco Brogi has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Gianni Messeri, Gianluca Bardini, Edoardo Mannucci, Agostino Ognibene, Francesco Cremasco, C Pellegrino, Carlo Maria Rotella, Ilaria Dicembrini, Iolanda Sposato and S Ciani. Their work appears in journals such as Journal of Endocrinology, Clinical Chemistry and Laboratory Medicine (CCLM), British Journal of Dermatology, Haemophilia and Quality & Quantity.

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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