Giulia Capitoli

49 papers receiving 482 citations

Peers

Giulia Capitoli
Comparison fields: 5 of 54
  • Spectroscopy 145
  • Endocrinology, Diabetes and Metabolism 136
  • Nephrology 52
  • Health Informatics 7
  • Health Information Management 18
Replace João P. Belo Pereira with:
João P. Belo Pereira Netherlands
Sheng‐Dao Zhang China
Georgia Saylor United States
Hua Shen China
Suchismita Panda India
Michael W. Rowe Denmark
Chang Ming Switzerland
Pei‐Wu Zhu China
Caroline S. Kim United States
Giulia Capitoli relative to João P. Belo Pereira Netherlands João P. Belo Pereira's profile →
Citations per field
00.5×5×10.4×
João P. Belo Pereira · 1×
Citations per year

Countries citing papers authored by Giulia Capitoli

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Capitoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201837
2 202230
3 201927
4 201924
5 202123
6 202122
7 202021
8 202220
9 202019
10 202119
11 202118
12 202215
13 201914
14 202214
15 201813
16 202112
17 202011
18 202310
19 202310
20 202310

About Giulia Capitoli

Giulia Capitoli is a scholar working on Spectroscopy, Endocrinology, Diabetes and Metabolism, Nephrology, Hematology and Artificial Intelligence, having authored 57 papers that have together received 492 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (14 papers), Thyroid Cancer Diagnosis and Treatment (14 papers), Down syndrome and intellectual disability research (3 papers), Iron Metabolism and Disorders (3 papers), AI in cancer detection (3 papers), Renal Diseases and Glomerulopathies (3 papers), Hypothalamic control of reproductive hormones (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Spectroscopy (145 citations), Endocrinology, Diabetes and Metabolism (136 citations), Nephrology (52 citations), Health Informatics (7 citations) and Health Information Management (18 citations). Giulia Capitoli has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Stefania Galimberti, Fabio Pagni, Fulvio Magni, Isabella Piga, Davide Leni, Andrew James Smith, Clizia Chinello, Vincenzo L’Imperio, Francesca Clerici and Mattia Garancini. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Frontiers in Endocrinology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of Proteome Research.

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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