Paolo Natalini

81 total papers · 911 total citations
46 papers, 768 citations indexed

About

Paolo Natalini is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Paolo Natalini has authored 46 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Surgery. Recurrent topics in Paolo Natalini's work include Biochemical and Molecular Research (22 papers), Enzyme Structure and Function (7 papers) and Pancreatic function and diabetes (7 papers). Paolo Natalini is often cited by papers focused on Biochemical and Molecular Research (22 papers), Enzyme Structure and Function (7 papers) and Pancreatic function and diabetes (7 papers). Paolo Natalini collaborates with scholars based in Italy and United States. Paolo Natalini's co-authors include Silverio Ruggieri, Giulio Magni, Alberto Vita, Susan Erickson‐Viitanen, Nadia Raffaelli, Valeria Polzonetti, Monica Emanuelli, B.L. Horecker, Silvia Vincenzetti and B.L. Horecker and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Paolo Natalini

46 papers receiving 733 citations

Author Peers

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

Author Last Decade Papers Cites
Paolo Natalini 506 169 135 126 111 46 768
I.A. Kriksunov 343 0.7× 485 2.9× 26 0.2× 147 1.2× 106 1.0× 25 888
Oscar P. Chilson 431 0.9× 53 0.3× 159 1.2× 37 0.3× 95 0.9× 32 775
Davide M. Ferraris 408 0.8× 42 0.2× 56 0.4× 100 0.8× 64 0.6× 31 747
Minhao Wu 545 1.1× 22 0.1× 45 0.3× 76 0.6× 61 0.5× 28 776
David A. Yost 470 0.9× 179 1.1× 67 0.5× 200 1.6× 30 0.3× 19 790
Johannes Scheuring 487 1.0× 32 0.2× 45 0.3× 40 0.3× 169 1.5× 23 638
Kunrong Mei 516 1.0× 32 0.2× 146 1.1× 93 0.7× 25 0.2× 29 803
Satyan Sharma 504 1.0× 14 0.1× 163 1.2× 76 0.6× 54 0.5× 22 679
Engin Bermek 551 1.1× 93 0.6× 54 0.4× 136 1.1× 35 0.3× 67 816
Zhiru Yang 510 1.0× 36 0.2× 55 0.4× 50 0.4× 187 1.7× 20 774

Countries citing papers authored by Paolo Natalini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Natalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Natalini

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