Luca Varani

7.5k total citations · 2 hit papers
51 papers, 3.8k citations indexed

About

Luca Varani is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luca Varani has authored 51 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Immunology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luca Varani's work include Monoclonal and Polyclonal Antibodies Research (8 papers), RNA and protein synthesis mechanisms (8 papers) and Immune Cell Function and Interaction (8 papers). Luca Varani is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), RNA and protein synthesis mechanisms (8 papers) and Immune Cell Function and Interaction (8 papers). Luca Varani collaborates with scholars based in Switzerland, Italy and United Kingdom. Luca Varani's co-authors include Mattia Pedotti, Luca Simonelli, Gabriele Varani, Bernhard F. Gibbs, Vadim V. Sumbayev, Marco Bardelli, Mariagrazia Uguccioni, Marco E. Bianchi, Emilie Vénéreau and Francesco De Marchis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Luca Varani

51 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutually exclusive redox forms of HMGB1 promote cell recruitment or proinflammatory cytokine release

2012 561 citations Emilie Vénéreau, Maura Casalgrandi et al. The Journal of Experimental Medicine profile →
HMGB1 promotes recruitment of inflammatory cells to damaged tissues by forming a complex with CXCL12 and signaling via CXCR4

2012 514 citations Milena Schiraldi, Emilie Vénéreau et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Varani Switzerland	27	1.4k	1.3k	613	573	554	51	3.8k
Keiko Kobayashi Japan	31	1.2k 0.8×	718 0.6×	425 0.7×	667 1.2×	176 0.3×	204	3.4k
Tasuke Konno Japan	24	1.5k 1.1×	1.3k 1.0×	216 0.4×	841 1.5×	492 0.9×	128	4.4k
Jorge Lloberas Spain	40	2.4k 1.7×	1.8k 1.4×	455 0.7×	169 0.3×	733 1.3×	77	5.3k
Peter Panizzi United States	24	1.6k 1.1×	1.4k 1.1×	84 0.1×	396 0.7×	368 0.7×	61	4.9k
Anthony Jaworowski Australia	42	1.5k 1.0×	1.9k 1.5×	90 0.1×	1.0k 1.8×	383 0.7×	119	5.3k
Keiya Tada Japan	30	2.5k 1.7×	1.1k 0.8×	1.4k 2.3×	288 0.5×	422 0.8×	186	5.3k
Kiyoshi Konishi Japan	34	1.7k 1.2×	526 0.4×	130 0.2×	269 0.5×	384 0.7×	118	3.6k
Bernd Thiede Norway	43	3.7k 2.6×	531 0.4×	165 0.3×	231 0.4×	368 0.7×	167	5.6k
Magnus Gidlund Brazil	30	921 0.6×	1.9k 1.5×	95 0.2×	239 0.4×	332 0.6×	147	4.1k
Bo Åkerström Sweden	36	2.1k 1.4×	683 0.5×	130 0.2×	375 0.7×	168 0.3×	119	4.5k

Countries citing papers authored by Luca Varani

Since Specialization

Citations

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

Fields of papers citing papers by Luca Varani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Varani

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

All Works

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20 of 20 papers shown

Pedotti, Mattia, Luca Simonelli, Raoul De Gasparo, et al.. (2023). Adapting Neutralizing Antibodies to Viral Variants by Structure‐Guided Affinity Maturation Using Phage Display Technology. SHILAP Revista de lepidopterología. 7(10). 2300088–2300088. 3 indexed citations

Chiadò, Alessandro, Francesca Bosco, Marco Bardelli, et al.. (2021). Rational engineering of the lccβ T. versicolor laccase for the mediator-less oxidation of large polycyclic aromatic hydrocarbons. Computational and Structural Biotechnology Journal. 19. 2213–2222. 27 indexed citations

Piccoli, Luca, Margherita Romeo, Maria Monica Barzago, et al.. (2021). Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity. Nature Communications. 12(1). 3532–3532. 36 indexed citations

Bardelli, Marco, Karl Frontzek, Luca Simonelli, et al.. (2018). A bispecific immunotweezer prevents soluble PrP oligomers and abolishes prion toxicity. PLoS Pathogens. 14(10). e1007335–e1007335. 16 indexed citations

Simonelli, Luca, Mattia Pedotti, Marco Bardelli, et al.. (2018). Mapping Antibody Epitopes by Solution NMR Spectroscopy: Practical Considerations. Methods in molecular biology. 1785. 29–51. 10 indexed citations

Silva, Isabel Gonçalves, Inna M. Yasinska, Svetlana Sakhnevych, et al.. (2017). The Tim-3-galectin-9 Secretory Pathway is Involved in the Immune Escape of Human Acute Myeloid Leukemia Cells. EBioMedicine. 22. 44–57. 175 indexed citations

Silva, Isabel Gonçalves, Bernhard F. Gibbs, Marco Bardelli, et al.. (2016). The immune receptor Tim-3 acts as a trafficker in a Tim-3/galectin-9 autocrine loop in human myeloid leukemia cells. OncoImmunology. 5(7). e1195535–e1195535. 58 indexed citations

Arcangeli, Silvia, Marco Bardelli, Sarah Tettamanti, et al.. (2015). Unraveling the Efficacy and Safety Profiles of Anti-CD123 Chimeric Antigen Receptors (CARs) in a Model of Acute Myeloid Leukemia Immunotherapy By Investigating CAR Binding Affinity and Density Variables. Blood. 126(23). 1359–1359. 4 indexed citations

Moraes, Adolfo H., Luca Simonelli, Mattia Pedotti, et al.. (2015). Antibody Binding Modulates Conformational Exchange in Domain III of Dengue Virus E Protein. Journal of Virology. 90(4). 1802–1811. 16 indexed citations

10.

Ferrero, V., Mattia Pedotti, Alessandro Chiadò, et al.. (2014). Rational Modification of Estrogen Receptor by Combination of Computational and Experimental Analysis. PLoS ONE. 9(7). e102658–e102658. 13 indexed citations

11.

Gibbs, Bernhard F., et al.. (2014). Interleukin-1 beta induces the expression and production of stem cell factor by epithelial cells: crucial involvement of the PI-3K/mTOR pathway and HIF-1 transcription complex. Cellular and Molecular Immunology. 13(1). 47–56. 25 indexed citations

12.

Gibbs, Bernhard F., et al.. (2014). The immune receptor Tim-3 mediates activation of PI3 kinase/mTOR and HIF-1 pathways in human myeloid leukaemia cells. The International Journal of Biochemistry & Cell Biology. 59. 11–20. 47 indexed citations

13.

Simonelli, Luca, Mattia Pedotti, Martina Beltramello, et al.. (2013). Rational Engineering of a Human Anti-Dengue Antibody through Experimentally Validated Computational Docking. PLoS ONE. 8(2). e55561–e55561. 29 indexed citations

14.

Vénéreau, Emilie, Maura Casalgrandi, Milena Schiraldi, et al.. (2012). Mutually exclusive redox forms of HMGB1 promote cell recruitment or proinflammatory cytokine release. The Journal of Experimental Medicine. 209(9). 1519–1528. 561 indexed citations breakdown →

15.

Beltramello, Martina, Katherine L. Williams, Cameron P. Simmons, et al.. (2010). The Human Immune Response to Dengue Virus Is Dominated by Highly Cross-Reactive Antibodies Endowed with Neutralizing and Enhancing Activity. Cell Host & Microbe. 8(3). 271–283. 445 indexed citations

16.

Simonelli, Luca, et al.. (2010). Rapid Structural Characterization of Human Antibody–Antigen Complexes through Experimentally Validated Computational Docking. Journal of Molecular Biology. 396(5). 1491–1507. 21 indexed citations

17.

Allen, Mark D., Luca Varani, & Gabriele Varani. (2001). Nuclear Magnetic Resonance Methods to Study Structure and Dynamics of RNA–Protein Complexes. Methods in enzymology on CD-ROM/Methods in enzymology. 339. 357–376. 11 indexed citations

18.

Varani, Gabriele, Luca Varani, Samuel Gunderson, et al.. (2000). The NMR structure of the 38 kDa U1A protein - PIE RNA complex reveals the basis of cooperativity in regulation of polyadenylation by human U1A protein.. Nature Structural Biology. 7(4). 329–335. 112 indexed citations

19.

Mittermaier, Anthony, Luca Varani, D.R. Muhandiram, Lewis E. Kay, & Gabriele Varani. (1999). Changes in side-chain and backbone dynamics identify determinants of specificity in RNA recognition by human U1A protein. Journal of Molecular Biology. 294(4). 967–979. 67 indexed citations

20.

Molinari, Henriette, Laura Ragona, Luca Varani, et al.. (1996). Partially folded structure of monomeric bovine β‐lactoglobulin. FEBS Letters. 381(3). 237–243. 98 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.

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