Fabrizio Donnarumma

55 total papers · 518 total citations
37 papers, 382 citations indexed

About

Fabrizio Donnarumma is a scholar working on Spectroscopy, Molecular Biology and Genetics. According to data from OpenAlex, Fabrizio Donnarumma has authored 37 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Spectroscopy, 10 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Fabrizio Donnarumma's work include Mass Spectrometry Techniques and Applications (18 papers), Advanced Proteomics Techniques and Applications (10 papers) and Analytical chemistry methods development (7 papers). Fabrizio Donnarumma is often cited by papers focused on Mass Spectrometry Techniques and Applications (18 papers), Advanced Proteomics Techniques and Applications (10 papers) and Analytical chemistry methods development (7 papers). Fabrizio Donnarumma collaborates with scholars based in United States, Austria and India. Fabrizio Donnarumma's co-authors include Kermit K. Murray, Reinhold Wintersteiger, Kelin Wang, Touradj Solouki, Werner Windischhofer, Hans Jörg Leis, Mario Rivera, Ákos Végvári, György Marko‐Varga and Melinda Rezeli and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Fabrizio Donnarumma

36 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Fabrizio Donnarumma 174 137 54 47 39 37 382
Allison S. Danell 215 1.2× 153 1.1× 35 0.6× 32 0.7× 31 0.8× 21 438
Anne L. Bruinen 227 1.3× 195 1.4× 50 0.9× 41 0.9× 107 2.7× 14 442
Mufarreh Asmari 62 0.4× 164 1.2× 92 1.7× 41 0.9× 28 0.7× 24 399
Lesi Cai 150 0.9× 158 1.2× 51 0.9× 32 0.7× 67 1.7× 18 372
Yangsun Kim 152 0.9× 195 1.4× 54 1.0× 27 0.6× 19 0.5× 21 375
Márkó Grabarics 157 0.9× 250 1.8× 35 0.6× 19 0.4× 6 0.2× 17 416
Stephanie Rankin‐Turner 183 1.1× 187 1.4× 103 1.9× 62 1.3× 17 0.4× 36 426
Jennifer Griffiths 85 0.5× 187 1.4× 85 1.6× 21 0.4× 17 0.4× 25 369
Mark Marić 102 0.6× 51 0.4× 45 0.8× 118 2.5× 37 0.9× 23 348
Xinchi Yin 94 0.5× 177 1.3× 41 0.8× 24 0.5× 11 0.3× 24 370

Countries citing papers authored by Fabrizio Donnarumma

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Donnarumma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Donnarumma

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