L. Patti

2.0k citations
53 papers · 1.5k · h-index 26

Impact in

Papers in

L. Patti

52 papers receiving 1.4k citations

Peers

L. Patti
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 807
  • Physiology 471
  • Nutrition and Dietetics 267
  • Cardiology and Cardiovascular Medicine 296
  • Public Health, Environmental and Occupational Health 253
Replace Marisa Passarelli with:
Marisa Passarelli Brazil
F. Saccomanno Italy
G M Reaven United States
Sheryl L. Windsor United States
C.J. Packard United Kingdom
Hayley Lund United States
Antonio Hernández‐Ono United States
Annamaria Prioletta Italy
Fernando Elijovich United States
Ole Rasmussen Denmark
L. Patti relative to Marisa Passarelli Brazil Marisa Passarelli's profile →
Citations per field
00.5×2.8×
Marisa Passarelli · 1×
Citations per year

Countries citing papers authored by L. Patti

Since Specialization
Citations

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

Fields of papers citing papers by L. Patti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997117
2 200987
3 200983
4 200378
5 201072
6 200469
7 200763
8 200461
9 201153
10 200746
11 199045
12 198038
13 199037
14 200836
15 200833
16 198533
17 198932
18 199730
19 198828
20 200828

About L. Patti

L. Patti is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Nutrition and Dietetics and Epidemiology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Lipoproteins and Cardiovascular Health (14 papers), Diet and metabolism studies (12 papers), Fatty Acid Research and Health (9 papers), Cancer, Lipids, and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Diet, Metabolism, and Disease (6 papers) and Diabetes Management and Research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (807 citations), Physiology (471 citations), Nutrition and Dietetics (267 citations), Cardiology and Cardiovascular Medicine (296 citations) and Public Health, Environmental and Occupational Health (253 citations). L. Patti has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Angela A. Rivellese, Gabriele Riccardi, Giovanni Annuzzi, Olga Vaccaro, Paola Cipriano, Lucrezia Di Marino, Rosalba Giacco, Lutgarda Bozzetto, Claudia De Natale and Mario Mancini. Their work appears in journals such as Atherosclerosis, Diabetologia, Acta Diabetologica, The Journal of Clinical Endocrinology & Metabolism and Nutrition Metabolism and Cardiovascular Diseases.

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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