I Covelli

1.1k citations
44 papers · 994 · h-index 19

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 3
    • Enzyme function and inhibition 3
    • Mitochondrial Function and Pathology 3
    • Biochemical effects in animals 7

I Covelli

43 papers receiving 884 citations

Peers

I Covelli
Comparison fields: 5 of 95
  • Cell Biology 151
  • Endocrinology, Diabetes and Metabolism 134
  • Radiology, Nuclear Medicine and Imaging 157
  • Immunology and Allergy 41
  • Physiology 155
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Citations per field
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Citations per year

Countries citing papers authored by I Covelli

Since Specialization
Citations

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

Fields of papers citing papers by I Covelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972130
2 196668
3 196960
4 197659
5 197258
6 196956
7 196646
8 197037
9 196637
10
The mechanism of action of the epidermal growth factor. 3. Stimulation of the uptake of labeled precursors into RNA, DNA and proteins induced by EGF in isolated tumor cells.
197233
11 197232
12 196830
13 199728
14 196927
15 199825
16 196124
17 197122
18 196722
19 196319
20 197018

About I Covelli

I Covelli is a scholar working on Molecular Biology, Physiology, Epidemiology, Infectious Diseases and Clinical Biochemistry, having authored 44 papers that have together received 994 indexed citations. Recurring topics across this work include Biochemical effects in animals (7 papers), Mycobacterium research and diagnosis (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Enzyme function and inhibition (3 papers), Tuberculosis Research and Epidemiology (3 papers), Mitochondrial Function and Pathology (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Cell Biology (151 citations), Endocrinology, Diabetes and Metabolism (134 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Immunology and Allergy (41 citations) and Physiology (155 citations). I Covelli has collaborated with scholars based in Italy, United States and South Africa. Frequent co-authors include J. Wolff, Luigi Frati, Rita Mozzi, Salvatore Daniele, Alessio Delogu, Ferdinando Auricchio, Carmelo B. Bruni, Jean Roche, G Salvatore and Francesco Blasi. Their work appears in journals such as European Journal of Biochemistry, Journal of Biological Chemistry, Biochemistry, European Journal of Epidemiology and Hormone Research in Paediatrics.

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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