Angelica Galli

700 total citations
8 papers, 289 citations indexed

About

Angelica Galli is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Physiology. According to data from OpenAlex, Angelica Galli has authored 8 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Angelica Galli's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Dietary Effects on Health (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Angelica Galli is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Dietary Effects on Health (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Angelica Galli collaborates with scholars based in Italy, United States and United Kingdom. Angelica Galli's co-authors include Davide Lauro, Carmine Cardillo, Manfredi Tesauro, Stefano Rizza, Massimo Federici, Paolo Sbraccia, Micaela Iantorno, Michael J. Quon, Paola Rogliani and Mario Cazzola and has published in prestigious journals such as Journal of the American Geriatrics Society, American Journal of Physiology-Endocrinology and Metabolism and Atherosclerosis.

In The Last Decade

Angelica Galli

8 papers receiving 283 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Angelica Galli Italy	6	98	88	78	70	63	8	289
Akihiro Himeno Japan	8	52 0.5×	94 1.1×	83 1.1×	111 1.6×	53 0.8×	9	335
Nikolaos Gouliopoulos Greece	13	51 0.5×	123 1.4×	44 0.6×	81 1.2×	69 1.1×	47	512
Tomoyuki Shiozawa Japan	10	67 0.7×	82 0.9×	28 0.4×	65 0.9×	32 0.5×	21	304
Piibe Muda Estonia	7	43 0.4×	175 2.0×	51 0.7×	37 0.5×	41 0.7×	10	287
Monique J.M. de Groot Netherlands	12	99 1.0×	62 0.7×	104 1.3×	61 0.9×	27 0.4×	21	366
Mohammad Saleem United States	10	76 0.8×	117 1.3×	70 0.9×	93 1.3×	31 0.5×	37	397
M Kinalski Poland	9	78 0.8×	23 0.3×	93 1.2×	45 0.6×	81 1.3×	19	433
Dilara Seçkin Türkiye	9	45 0.5×	72 0.8×	81 1.0×	28 0.4×	157 2.5×	11	380
Sandrine Boullu France	9	98 1.0×	93 1.1×	235 3.0×	32 0.5×	36 0.6×	18	485
Ernesto Rodríguez Ayala Sweden	7	125 1.3×	27 0.3×	46 0.6×	52 0.7×	49 0.8×	9	419

Countries citing papers authored by Angelica Galli

Since Specialization

Citations

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

Fields of papers citing papers by Angelica Galli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelica Galli

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

All Works

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8 of 8 papers shown

Rogliani, Paola, Maria Gabriella Matera, Luigino Calzetta, et al.. (2019). Long-term observational study on the impact of GLP-1R agonists on lung function in diabetic patients. Respiratory Medicine. 154. 86–92. 47 indexed citations

Rizza, Stefano, et al.. (2010). Adiponectin Isoforms in Elderly Patients with or without Coronary Artery Disease. Journal of the American Geriatrics Society. 58(4). 702–706. 31 indexed citations

Schinzari, Francesca, Manfredi Tesauro, Valentina Rovella, et al.. (2010). Generalized impairment of vasodilator reactivity during hyperinsulinemia in patients with obesity-related metabolic syndrome. American Journal of Physiology-Endocrinology and Metabolism. 299(6). E947–E952. 49 indexed citations

Rogliani, Paola, Giacomo Curradi, Marco Mura, et al.. (2009). Metabolic syndrome and risk of pulmonary involvement. Respiratory Medicine. 104(1). 47–51. 18 indexed citations

Bellia, Alfonso, Stefano Rizza, Angelica Galli, et al.. (2009). Early vascular and metabolic effects of rosuvastatin compared with simvastatin in patients with type 2 diabetes. Atherosclerosis. 210(1). 199–201. 41 indexed citations

Rizza, Stefano, Manfredi Tesauro, Carmine Cardillo, et al.. (2009). Fish oil supplementation improves endothelial function in normoglycemic offspring of patients with type 2 diabetes. Atherosclerosis. 206(2). 569–574. 97 indexed citations

Rizza, Stefano, Manfredi Tesauro, Carmine Cardillo, et al.. (2008). 103 FISH OIL SUPPLEMENTATION IMPROVES ENDOTHELIAL FUNCTION IN NORMOGLYCEMIC OFFSPRING OF PATIENTS WITH TYPE 2 DIABETES. Nutrition Metabolism and Cardiovascular Diseases. 18. S59–S59. 5 indexed citations

Bellia, Alfonso, Stefano Rizza, Angelica Galli, et al.. (2008). 12 VASCULAR AND METABOLIC ACUTE EFFECTS OF ROSUVASTATIN COMPARED TO SIMVASTATIN IN UNTREATED DYSLIPIDEMIC DIABETIC PATIENTS. Nutrition Metabolism and Cardiovascular Diseases. 18. S37–S38. 1 indexed citations

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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