Daniela Renzi

125 total papers · 1.9k total citations
69 papers, 1.3k citations indexed

About

Daniela Renzi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Daniela Renzi has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 17 papers in Surgery. Recurrent topics in Daniela Renzi's work include Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (14 papers) and Celiac Disease Research and Management (13 papers). Daniela Renzi is often cited by papers focused on Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (14 papers) and Celiac Disease Research and Management (13 papers). Daniela Renzi collaborates with scholars based in Italy, Malaysia and Sweden. Daniela Renzi's co-authors include Paolo Santicioli, C. Surrenti, Carlo Alberto Maggi, Pierangelo Geppetti, Stefano Evangelista, Antonello Calabrò, Alberto Meli, Antonino Calabrò, Elvar Theodorsson and M Fanciullacci and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Daniela Renzi

67 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniela Renzi 439 376 238 233 223 69 1.3k
Erik Lindström 251 0.6× 347 0.9× 213 0.9× 237 1.0× 322 1.4× 63 1.2k
Li‐Ya Qiao 298 0.7× 526 1.4× 190 0.8× 185 0.8× 488 2.2× 70 1.7k
Jeremy D. Gale 246 0.6× 287 0.8× 320 1.3× 348 1.5× 319 1.4× 51 1.4k
Mark L. Chapman 337 0.8× 567 1.5× 398 1.7× 91 0.4× 196 0.9× 56 1.7k
S. Vincent Wu 274 0.6× 453 1.2× 225 0.9× 260 1.1× 188 0.8× 51 1.4k
Masuo Akahane 194 0.4× 412 1.1× 192 0.8× 57 0.2× 310 1.4× 60 1.5k
Phillip L. Rayford 550 1.3× 351 0.9× 611 2.6× 180 0.8× 188 0.8× 81 1.8k
Jörg Glatzle 183 0.4× 229 0.6× 464 1.9× 303 1.3× 291 1.3× 53 1.4k
Gabriele Barbanti 542 1.2× 506 1.3× 309 1.3× 134 0.6× 331 1.5× 55 1.4k
Ryotaro Kuroda 421 1.0× 276 0.7× 209 0.9× 54 0.2× 270 1.2× 55 1.8k

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-authorship network of co-authors of Daniela Renzi

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026