Riccardo Trapannone

961 total citations
10 papers, 717 citations indexed

About

Riccardo Trapannone is a scholar working on Molecular Biology, Epidemiology and Organic Chemistry. According to data from OpenAlex, Riccardo Trapannone has authored 10 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Organic Chemistry. Recurrent topics in Riccardo Trapannone's work include Autophagy in Disease and Therapy (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Galectins and Cancer Biology (3 papers). Riccardo Trapannone is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Galectins and Cancer Biology (3 papers). Riccardo Trapannone collaborates with scholars based in Austria, Germany and United Kingdom. Riccardo Trapannone's co-authors include Daan M. F. van Aalten, Sascha Martens, Julia Romanov, Martin Sztacho, Gabriele Zaffagnini, Alberto Danieli, Karim Rafie, Carsten Sachse, Shirley Tremel and Abul K. Tarafder and has published in prestigious journals such as The EMBO Journal, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Riccardo Trapannone

10 papers receiving 716 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Riccardo Trapannone Austria 8 490 412 175 123 97 10 717
Nancy E. Go Canada 15 591 1.2× 213 0.5× 74 0.4× 39 0.3× 37 0.4× 20 737
Tatiana Soldà Switzerland 13 354 0.7× 236 0.6× 473 2.7× 135 1.1× 22 0.2× 19 695
Joëlle Botti France 11 500 1.0× 472 1.1× 174 1.0× 75 0.6× 17 0.2× 19 801
Yuuki Fujiwara Japan 11 406 0.8× 319 0.8× 114 0.7× 50 0.4× 8 0.1× 24 673
Jasper H.L. Claessen United States 9 493 1.0× 284 0.7× 489 2.8× 88 0.7× 16 0.2× 10 791
Ananthamurthy Nagabhushana India 10 253 0.5× 69 0.2× 112 0.6× 47 0.4× 157 1.6× 11 552
Padmavathi Bandhuvula United States 11 763 1.6× 128 0.3× 277 1.6× 107 0.9× 37 0.4× 11 878
Mani Ravichandran Canada 8 488 1.0× 88 0.2× 83 0.5× 116 0.9× 24 0.2× 8 670
Vincent Klump United States 9 282 0.6× 289 0.7× 133 0.8× 97 0.8× 9 0.1× 11 607
Melat T. Gebru United States 7 239 0.5× 295 0.7× 151 0.9× 37 0.3× 7 0.1× 7 493

Countries citing papers authored by Riccardo Trapannone

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Trapannone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Trapannone

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

All Works

10 of 10 papers shown
1.
Winter, Nikola, et al.. (2023). The paradox of the life sciences. EMBO Reports. 24(3). e56683–e56683. 7 indexed citations
2.
Trapannone, Riccardo, Julia Romanov, & Sascha Martens. (2023). p62 and NBR1 functions are dispensable for aggrephagy in mouse ESCs and ESC-derived neurons. Life Science Alliance. 6(11). e202301936–e202301936. 3 indexed citations
3.
Turco, Eleonora, Christine Abert, Tobias Bock-Bierbaum, et al.. (2019). FIP200 Claw Domain Binding to p62 Promotes Autophagosome Formation at Ubiquitin Condensates. Molecular Cell. 74(2). 330–346.e11. 246 indexed citations
4.
Turco, Eleonora, Christine Abert, Tobias Bock-Bierbaum, et al.. (2019). How RB1CC1/FIP200 claws its way to autophagic engulfment of SQSTM1/p62-ubiquitin condensates. Autophagy. 15(8). 1475–1477. 14 indexed citations
5.
Zaffagnini, Gabriele, Alberto Danieli, Julia Romanov, et al.. (2018). p62 filaments capture and present ubiquitinated cargos for autophagy. The EMBO Journal. 37(5). 267 indexed citations
6.
Rafie, Karim, et al.. (2018). Thio-Linked UDP–Peptide Conjugates as O-GlcNAc Transferase Inhibitors. Bioconjugate Chemistry. 29(6). 1834–1840. 34 indexed citations
7.
Zaffagnini, Gabriele, Alberto Danieli, Julia Romanov, et al.. (2018). Phasing out the bad—How SQSTM1/p62 sequesters ubiquitinated proteins for degradation by autophagy. Autophagy. 14(7). 1280–1282. 19 indexed citations
8.
Trapannone, Riccardo, Karim Rafie, & Daan M. F. van Aalten. (2016). O-GlcNAc transferase inhibitors: current tools and future challenges. Biochemical Society Transactions. 44(1). 88–93. 69 indexed citations
9.
Trapannone, Riccardo, Daniel Mariappa, Andrew T. Ferenbach, & Daan M. F. van Aalten. (2016). Nucleocytoplasmic human O-GlcNAc transferase is sufficient for O-GlcNAcylation of mitochondrial proteins. Biochemical Journal. 473(12). 1693–1702. 49 indexed citations
10.
Nardozza, Aurelio Pio, Melania D’Orazio, Riccardo Trapannone, et al.. (2012). Reactive Oxygen Species and Epidermal Growth Factor Are Antagonistic Cues Controlling SHP-2 Dimerization. Molecular and Cellular Biology. 32(10). 1998–2009. 9 indexed citations

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