Adriano Podestà

54 total papers · 463 total citations
28 papers, 373 citations indexed

About

Adriano Podestà is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Adriano Podestà has authored 28 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pharmacology. Recurrent topics in Adriano Podestà's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (4 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Adriano Podestà is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (4 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Adriano Podestà collaborates with scholars based in Italy, Spain and United States. Adriano Podestà's co-authors include Jean‐Pierre Jost, Edward J. Oakeley, Paola Nieri, Giorgio Montagnoli, Sara Carpi, Barbara Adinolfi, Maria Cristina Breschi, Stefano Fogli, Beatrice Polini and Antonella Romanini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Scientific Reports.

In The Last Decade

Adriano Podestà

27 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Adriano Podestà 210 92 41 41 37 28 373
Fumitsugu Hino 238 1.1× 59 0.6× 17 0.4× 25 0.6× 32 0.9× 18 423
Dolph D. Ellefson 168 0.8× 41 0.4× 26 0.6× 48 1.2× 50 1.4× 24 420
Helena Řehulková 193 0.9× 97 1.1× 23 0.6× 27 0.7× 22 0.6× 30 385
Mumtaz Anwar 199 0.9× 60 0.7× 11 0.3× 19 0.5× 39 1.1× 34 385
Limin Wang 200 1.0× 26 0.3× 18 0.4× 28 0.7× 71 1.9× 25 384
Shuhua Tan 191 0.9× 20 0.2× 18 0.4× 33 0.8× 51 1.4× 36 367
Jan Paul Bebelman 284 1.4× 37 0.4× 41 1.0× 16 0.4× 49 1.3× 18 388
Bernard Mallet 174 0.8× 65 0.7× 12 0.3× 15 0.4× 35 0.9× 36 398
Hamid Reza Nouri 180 0.9× 29 0.3× 19 0.5× 14 0.3× 53 1.4× 22 347
Ruobing Ren 210 1.0× 62 0.7× 9 0.2× 12 0.3× 36 1.0× 27 355

Countries citing papers authored by Adriano Podestà

Since Specialization
Citations

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

Fields of papers citing papers by Adriano Podestà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriano Podestà

This figure shows the co-authorship network connecting the top 25 collaborators of Adriano Podestà. A scholar is included among the top collaborators of Adriano Podestà 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 Adriano Podestà. Adriano Podestà 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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