Monica Vettore

1.4k citations
49 papers · 1.1k indexed · h-index 19
Topics
Muscle metabolism and nutrition (22 papers)Metabolism and Genetic Disorders (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)

In The Last Decade

Monica Vettore

47 papers receiving 1.0k citations

Peers

Monica Vettore
Comparison fields: 5 of 93
  • Physiology 378
  • Endocrinology, Diabetes and Metabolism 282
  • Cell Biology 274
  • Surgery 208
  • Molecular Biology 206
Replace S. Inchiostro with:
S. Inchiostro Italy
Chang Yeop Han United States
Cristina Robaudo Italy
C. J. Toews Canada
A Tizianello Italy
Yaeni Kim South Korea
E Temler Switzerland
Seok Man Son South Korea
Tiziana Rollo Italy
Gaia Chiara Mannino Italy
Monica Vettore relative to S. Inchiostro Italy S. Inchiostro's profile →
Citations per field
00.5×3.2×
S. Inchiostro · 1×
Citations per year

Countries citing papers authored by Monica Vettore

Since Specialization
Citations

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

Fields of papers citing papers by Monica Vettore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Vettore

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 31
3 4
4 148
5 36
6 3
7 2
8 5
9 5
10 29
11 23
12 22
13 3
14 9
15 10
16 16
17
Protein turnover in the kidney and the whole body in humans.
9
18 44
19 22
20 15

About Monica Vettore

Monica Vettore is a scholar working on Clinical Biochemistry, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (22 papers), Metabolism and Genetic Disorders (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Clinical Biochemistry (166 citations), Endocrinology, Diabetes and Metabolism (282 citations) and Cell Biology (274 citations). Monica Vettore has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Paolo Tessari, Michela Zanetti, Rocco Barazzoni, Edward Kiwanuka, Giacomo Garibotto, Lucia Puricelli, Anna Coracina, Angelo Avogaro, Monica Vedovato and Elisabetta Iori. Their work appears in journals such as Journal of Clinical Investigation, Gastroenterology and PLoS ONE.

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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