Daniela Renzi

67 papers receiving 1.2k citations

Peers

Daniela Renzi
Comparison fields: 5 of 101
  • Gastroenterology 235
  • Cellular and Molecular Neuroscience 440
  • Sensory Systems 117
  • Physiology 224
  • Endocrine and Autonomic Systems 56
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Amelia Mazzone United States
Ferda Filiz United States
Pierluigi Di Sebastiano Italy
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Eduardo E. Valdez-Moráles Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Renzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Renzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008142
2
Interleukin-1 beta and tumor necrosis factor-alpha induce gene expression and production of leukocyte chemotactic factors, colony-stimulating factors, and interleukin-6 in human mesangial cells.
1991138
3 198899
4 199173
5 198756
6 198954
7 202144
8
Quantitative evaluation of somatostatin receptor subtype 2 expression in sporadic colorectal tumor and in the corresponding normal mucosa.
200240
9
Substance P and vasoactive intestinal polypeptide but not calcitonin gene-related peptide concentrations are reduced in patients with moderate and severe ulcerative colitis.
199837
10 198932
11 200032
12 199332
13 198832
14 199031
15 198531
16 200527
17 201824
18 199424
19 198923
20 201823

About Daniela Renzi

Daniela Renzi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Gastroenterology and Physiology, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (14 papers), Celiac Disease Research and Management (13 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Pain Mechanisms and Treatments (6 papers), Cancer Treatment and Pharmacology (5 papers) and Microscopic Colitis (5 papers). The work is most often cited by research in Gastroenterology (235 citations), Cellular and Molecular Neuroscience (440 citations), Sensory Systems (117 citations), Physiology (224 citations) and Endocrine and Autonomic Systems (56 citations). Daniela Renzi has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Paolo Santicioli, C. Surrenti, Pierangelo Geppetti, Carlo Alberto Maggi, Stefano Evangelista, Antonello Calabrò, Alberto Meli, Antonino Calabrò, Elvar Theodorsson and Claudio Luchinat. Their work appears in journals such as Neuropeptides, Regulatory Peptides, Gastroenterology, Scandinavian Journal of Gastroenterology 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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