Agnese Milandri

45 total papers · 2.1k total citations
22 papers, 1.1k citations indexed

About

Agnese Milandri is a scholar working on Molecular Biology, Nephrology and Oncology. According to data from OpenAlex, Agnese Milandri has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Nephrology and 9 papers in Oncology. Recurrent topics in Agnese Milandri's work include Amyloidosis: Diagnosis, Treatment, Outcomes (20 papers), Parathyroid Disorders and Treatments (11 papers) and Peptidase Inhibition and Analysis (9 papers). Agnese Milandri is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (20 papers), Parathyroid Disorders and Treatments (11 papers) and Peptidase Inhibition and Analysis (9 papers). Agnese Milandri collaborates with scholars based in Italy, United Kingdom and United States. Agnese Milandri's co-authors include Claudio Rapezzi, Christian Gagliardi, Simone Longhi, Candida Cristina Quarta, Massimiliano Lorenzini, Fabrizio Salvi, Rodney H. Falk, Jenna Kruger, Marinella Ferlito and Scott D. Solomon and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Agnese Milandri

21 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Agnese Milandri 999 543 344 289 206 22 1.1k
Jason Dungu 872 0.9× 423 0.8× 291 0.8× 265 0.9× 187 0.9× 33 1.1k
David F. Hutt 1.1k 1.1× 561 1.0× 322 0.9× 248 0.9× 200 1.0× 29 1.3k
Letizia Riva 921 0.9× 443 0.8× 298 0.9× 223 0.8× 172 0.8× 31 1.1k
Christian Gagliardi 1.3k 1.3× 669 1.2× 440 1.3× 364 1.3× 237 1.2× 33 1.4k
F. Javier de Haro-del Moral 1.1k 1.1× 529 1.0× 347 1.0× 323 1.1× 259 1.3× 9 1.2k
Fabian aus dem Siepen 740 0.7× 360 0.7× 540 1.6× 188 0.7× 156 0.8× 53 1.2k
Pier Luigi Guidalotti 924 0.9× 502 0.9× 223 0.6× 210 0.7× 161 0.8× 12 1.1k
Prayman Sattianayagam 961 1.0× 386 0.7× 109 0.3× 235 0.8× 180 0.9× 27 1.0k
Diane Bodez 618 0.6× 343 0.6× 363 1.1× 103 0.4× 105 0.5× 36 998
Daniel R. Jacobson 955 1.0× 242 0.4× 103 0.3× 294 1.0× 149 0.7× 31 1.2k

Countries citing papers authored by Agnese Milandri

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Milandri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnese Milandri

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

All Works

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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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