Giulia Angelini

856 citations
27 papers · 322 · h-index 12

Impact in

Papers in

    • Diet and metabolism studies 7
    • Adipose Tissue and Metabolism 3
    • Bariatric Surgery and Outcomes 7

Giulia Angelini

25 papers receiving 320 citations

Peers

Giulia Angelini
Comparison fields: 5 of 65
  • Physiology 128
  • Endocrinology, Diabetes and Metabolism 58
  • Epidemiology 97
  • Surgery 99
  • Cell Biology 30
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Oreste Romeo United States
Zhu Hui Liu China
Ronald Vlasblom Netherlands
Takatoshi Anno Japan
Cristina Mallol Spain
Xiao Xiang Yan China
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Verónica Moreno‐Viedma Austria
Mia Demant Denmark
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Citations per field
00.5×10×15×20×23.5×
Oreste Romeo · 1×
Citations per year

Countries citing papers authored by Giulia Angelini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Angelini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201647
2 201925
3 202023
4 201621
5 201720
6 202018
7 201818
8 201717
9 202416
10 202215
11 202215
12 202315
13 202211
14 202011
15 202310
16 201710
17 20197
18 20205
19 20234
20
T lymphocytes with Fc-IgG receptors in skin cancers.
19814

About Giulia Angelini

Giulia Angelini is a scholar working on Physiology, Surgery, Epidemiology, Molecular Biology and Immunology, having authored 27 papers that have together received 322 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Bariatric Surgery and Outcomes (7 papers), Diet and metabolism studies (7 papers), Diet, Metabolism, and Disease (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Physiology (128 citations), Endocrinology, Diabetes and Metabolism (58 citations), Epidemiology (97 citations), Surgery (99 citations) and Cell Biology (30 citations). Giulia Angelini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Geltrude Mingrone, Stefan R. Bornstein, Giovanni Casella, Lidia Castagneto‐Gissey, Nicola Basso, A. Bertuzzi, Serenella Salinari, Anna Severino, Amerigo Iaconelli and Melania Manco. Their work appears in journals such as Gut, EBioMedicine, Oncotarget, American Journal of Physiology-Gastrointestinal and Liver Physiology and Scientific Reports.

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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