Luca Fornelli

4.4k total citations · 1 hit paper
66 papers, 2.7k citations indexed

About

Luca Fornelli is a scholar working on Spectroscopy, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luca Fornelli has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Spectroscopy, 44 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luca Fornelli's work include Mass Spectrometry Techniques and Applications (44 papers), Advanced Proteomics Techniques and Applications (35 papers) and Analytical Chemistry and Chromatography (18 papers). Luca Fornelli is often cited by papers focused on Mass Spectrometry Techniques and Applications (44 papers), Advanced Proteomics Techniques and Applications (35 papers) and Analytical Chemistry and Chromatography (18 papers). Luca Fornelli collaborates with scholars based in United States, Switzerland and Germany. Luca Fornelli's co-authors include Neil L. Kelleher, Timothy K. Toby, Yury O. Tsybin, Ryan T. Fellers, Philip D. Compton, Kristina Srzentić, Konstantin Aizikov, Alain Beck, Kenneth R. Durbin and Konstantin O. Zhurov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Journal of Biological Chemistry.

In The Last Decade

Luca Fornelli

63 papers receiving 2.6k citations

Hit Papers

Progress in Top-Down Proteomics and the Analysis of Prote... 2016 2026 2019 2022 2016 100 200 300 400
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.

  1. Progress in Top-Down Proteomics and the Analysis of Proteoforms
    2016 425 citations Luca Fornelli, Neil L. Kelleher et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Fornelli United States 28 1.9k 1.7k 323 222 129 66 2.7k
Kenneth R. Durbin United States 27 1.7k 0.9× 1.5k 0.9× 221 0.7× 173 0.8× 263 2.0× 51 2.5k
Vlad Zabrouskov United States 30 2.0k 1.1× 1.8k 1.1× 175 0.5× 148 0.7× 98 0.8× 56 2.8k
Ryan T. Fellers United States 29 2.0k 1.1× 1.7k 1.0× 108 0.3× 199 0.9× 87 0.7× 58 2.7k
Philip D. Compton United States 31 2.0k 1.1× 1.9k 1.1× 121 0.4× 205 0.9× 105 0.8× 55 3.2k
Scot R. Weinberger United States 18 1.1k 0.6× 1.1k 0.6× 149 0.5× 176 0.8× 78 0.6× 27 1.8k
Dobrin Nedelkov United States 36 1.5k 0.8× 2.1k 1.2× 328 1.0× 500 2.3× 131 1.0× 96 3.1k
Bryan P. Early United States 23 2.0k 1.0× 1.6k 0.9× 64 0.2× 158 0.7× 80 0.6× 29 2.5k
Melanie Schroeder United States 15 1.9k 1.0× 1.8k 1.1× 82 0.3× 80 0.4× 147 1.1× 37 3.0k
Romain Huguet United States 20 1.2k 0.6× 1.3k 0.7× 106 0.3× 161 0.7× 69 0.5× 37 2.1k
Markus Lubeck Germany 12 1.4k 0.7× 1.7k 1.0× 62 0.2× 151 0.7× 110 0.9× 20 2.4k

Countries citing papers authored by Luca Fornelli

Since Specialization
Citations

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

Fields of papers citing papers by Luca Fornelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Fornelli

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

All Works

20 of 20 papers shown
1.
Takemori, Ayako, et al.. (2025). Gel-Based Sample Fractionation with SP3-Purification for Top-Down Proteomics. Journal of Proteome Research. 24(2). 850–860. 3 indexed citations
2.
Hoskins, Joel R., et al.. (2024). Acetylation of the yeast Hsp40 chaperone protein Ydj1 fine-tunes proteostasis and translational fidelity. PLoS Genetics. 20(12). e1011338–e1011338. 7 indexed citations
3.
Huang, Jingjing, Kristina Srzentić, Christopher Mullen, et al.. (2024). Top‐down mass spectrometry analysis of capsid proteins of recombinant adeno‐associated virus using multiple ion activations and proton transfer charge reduction. PROTEOMICS. 25(5-6). e2400223–e2400223. 4 indexed citations
4.
Mullen, Christopher, Kristina Srzentić, Romain Huguet, et al.. (2024). Towards a universal method for middle-down analysis of antibodies via proton transfer charge reduction—Orbitrap mass spectrometry. Analytical and Bioanalytical Chemistry. 416(28). 6463–6472. 5 indexed citations
5.
Srzentić, Kristina, et al.. (2024). Characterization of a Monoclonal Antibody by Native and Denaturing Top-Down Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 35(9). 2197–2208. 6 indexed citations
6.
Huang, Jingjing, Christopher Mullen, Graeme C. McAlister, et al.. (2024). Enhanced Payload Localization in Antibody–Drug Conjugates Using a Middle-Down Mass Spectrometry Approach with Proton Transfer Charge Reduction. Analytical Chemistry. 96(46). 18483–18490. 5 indexed citations
7.
Melani, Rafael D., et al.. (2023). Mass spectrometry characterization of antibodies at the intact and subunit levels: From targeted to large-scale analysis. International Journal of Mass Spectrometry. 492. 117117–117117. 8 indexed citations
8.
Ahsan, Nagib, Luca Fornelli, Fares Z. Najar, et al.. (2023). Proteomics evaluation of five economical commercial abundant protein depletion kits for enrichment of diseases‐specific biomarkers from blood serum. PROTEOMICS. 23(20). e2300150–e2300150. 13 indexed citations
9.
Nitika, Nitika, Bo Zheng, Linhao Ruan, et al.. (2022). Comprehensive characterization of the Hsp70 interactome reveals novel client proteins and interactions mediated by posttranslational modifications. PLoS Biology. 20(10). e3001839–e3001839. 16 indexed citations
10.
Rao, R. Shyama Prasad, Nagib Ahsan, Chunhui Xu, et al.. (2021). Evolutionary Dynamics of Indels in SARS-CoV-2 Spike Glycoprotein. Evolutionary Bioinformatics. 17. 3243625768–3243625768. 6 indexed citations
11.
Mullen, Christopher, et al.. (2021). Sequential Ion–Ion Reactions for Enhanced Gas-Phase Sequencing of Large Intact Proteins in a Tribrid Orbitrap Mass Spectrometer. Journal of the American Society for Mass Spectrometry. 32(9). 2334–2345. 33 indexed citations
12.
Melani, Rafael D., Kristina Srzentić, Vincent R. Gerbasi, et al.. (2019). Direct measurement of light and heavy antibody chains using ion mobility and middle-down mass spectrometry. mAbs. 11(8). 1351–1357. 25 indexed citations
13.
Ntai, Ioanna, Luca Fornelli, Caroline J. DeHart, et al.. (2018). Precise characterization of KRAS4b proteoforms in human colorectal cells and tumors reveals mutation/modification cross-talk. Proceedings of the National Academy of Sciences. 115(16). 4140–4145. 77 indexed citations
14.
Srzentić, Kristina, Konstantin O. Nagornov, Luca Fornelli, et al.. (2018). Multiplexed Middle-Down Mass Spectrometry as a Method for Revealing Light and Heavy Chain Connectivity in a Monoclonal Antibody. Analytical Chemistry. 90(21). 12527–12535. 41 indexed citations
15.
Skinner, Owen S., Nicole A. Haverland, Luca Fornelli, et al.. (2017). Top-down characterization of endogenous protein complexes with native proteomics. Nature Chemical Biology. 14(1). 36–41. 125 indexed citations
16.
Melani, Rafael D., Owen S. Skinner, Luca Fornelli, et al.. (2016). Mapping Proteoforms and Protein Complexes From King Cobra Venom Using Both Denaturing and Native Top-down Proteomics. Molecular & Cellular Proteomics. 15(7). 2423–2434. 71 indexed citations
17.
Skinner, Owen S., Pierre C. Havugimana, Nicole A. Haverland, et al.. (2016). An informatic framework for decoding protein complexes by top-down mass spectrometry. Nature Methods. 13(3). 237–240. 47 indexed citations
18.
Savaryn, John P., Owen S. Skinner, Luca Fornelli, et al.. (2015). Targeted analysis of recombinant NF kappa B (RelA/p65) by denaturing and native top down mass spectrometry. Journal of Proteomics. 134. 76–84. 8 indexed citations
19.
Zheng, Yupeng, Luca Fornelli, Philip D. Compton, et al.. (2015). Unabridged Analysis of Human Histone H3 by Differential Top-Down Mass Spectrometry Reveals Hypermethylated Proteoforms from MMSET/NSD2 Overexpression. Molecular & Cellular Proteomics. 15(3). 776–790. 58 indexed citations
20.
Zhurov, Konstantin O., Luca Fornelli, Matthew D. Wodrich, Ünige A. Laskay, & Yury O. Tsybin. (2013). Principles of electron capture and transfer dissociation mass spectrometry applied to peptide and protein structure analysis. Chemical Society Reviews. 42(12). 5014–5014. 173 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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