Emanuela Lapice

872 citations
15 papers · 634 · h-index 10

Impact in

Papers in

    • Adipose Tissue and Metabolism 5
    • Diet and metabolism studies 3
    • Peroxisome Proliferator-Activated Receptors 4
    • Metabolism, Diabetes, and Cancer 2

Emanuela Lapice

15 papers receiving 625 citations

Peers

Emanuela Lapice
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 139
  • Oncology 196
  • Cancer Research 85
  • Molecular Biology 367
  • Physiology 121
Replace Eddy S. Konaniah with:
Eddy S. Konaniah United States
Stefania Iiritano Italy
Kimberly Seefeld United States
Ning‐hua Cui China
Emily L. Rossi United States
Jamie L. Resnik United States
Agnieszka Januś Poland
Junna Yamaguchi Japan
Marina Pauwels Belgium
Laura W. Bowers United States
Emanuela Lapice relative to Eddy S. Konaniah United States Eddy S. Konaniah's profile →
Citations per field
00.5×3.3×
Eddy S. Konaniah · 1×
Citations per year

Countries citing papers authored by Emanuela Lapice

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Lapice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013347
2 200983
3 201358
4 200728
5 200625
6 201124
7 202214
8 201011
9 201410
10 201510
11 20129
12 20207
13 20136
14 20121
15 20161

About Emanuela Lapice

Emanuela Lapice is a scholar working on Physiology, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 634 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Diet and metabolism studies (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cardiovascular Function and Risk Factors (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (139 citations), Oncology (196 citations), Cancer Research (85 citations), Molecular Biology (367 citations) and Physiology (121 citations). Emanuela Lapice has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Giuseppe Lucisano, Fabio Pellegrini, Antonio Nicolucci, Monica Franciosi, Giovanni FM Strippoli, Olga Vaccaro, Maria Masulli, Gabriele Riccardi, Angela A. Rivellese and L. Patti. Their work appears in journals such as Diabetes Care, Current Atherosclerosis Reports, Journal of Translational Medicine, Nutrition Metabolism and Cardiovascular Diseases and Internal and Emergency Medicine.

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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