Paola Picotti

16.3k total citations · 5 hit papers
110 papers, 10.5k citations indexed

About

Paola Picotti is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Paola Picotti has authored 110 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 37 papers in Spectroscopy and 26 papers in Cell Biology. Recurrent topics in Paola Picotti's work include Advanced Proteomics Techniques and Applications (35 papers), Mass Spectrometry Techniques and Applications (20 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). Paola Picotti is often cited by papers focused on Advanced Proteomics Techniques and Applications (35 papers), Mass Spectrometry Techniques and Applications (20 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). Paola Picotti collaborates with scholars based in Switzerland, United States and Italy. Paola Picotti's co-authors include Ruedi Aebersold, Bruno Domon, Vinzenz Lange, Yuehan Feng, Bernd Bodenmiller, Tobias Fuhrer, Uwe Sauer, Paul J. Boersema, Nicola Zamboni and Oliver Rinner and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Paola Picotti

106 papers receiving 10.3k citations

Hit Papers

5 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.

L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity

2016 1.2k citations Yuehan Feng, Paola Picotti et al. profile →
Selected reaction monitoring for quantitative proteomics: a tutorial

2008 1.1k citations Paola Picotti, Bruno Domon et al. Molecular Systems Biology profile →
Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions

2012 957 citations Paola Picotti, Ruedi Aebersold Nature Methods profile →
Full Dynamic Range Proteome Analysis of S. cerevisiae by Targeted Proteomics

2009 608 citations Paola Picotti, Bruno Domon et al. profile →
A Map of Protein-Metabolite Interactions Reveals Principles of Chemical Communication

2018 377 citations Ilaria Piazza, Valentina Cappelletti et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paola Picotti Switzerland	45	7.3k	3.6k	1.0k	791	776	110	10.5k
Jüergen Cox Germany	31	8.2k 1.1×	4.3k 1.2×	716 0.7×	772 1.0×	990 1.3×	37	11.2k
David L. Tabb United States	44	8.6k 1.2×	5.1k 1.4×	829 0.8×	660 0.8×	845 1.1×	112	12.2k
Andrew Keller United States	30	7.9k 1.1×	4.2k 1.2×	1.1k 1.0×	802 1.0×	1.0k 1.3×	65	11.5k
Jean‐Charles Sanchez Switzerland	61	8.3k 1.1×	4.5k 1.2×	1.1k 1.1×	657 0.8×	793 1.0×	225	13.3k
David Camp United States	61	7.5k 1.0×	5.0k 1.4×	754 0.7×	733 0.9×	733 0.9×	152	11.7k
Albert Sickmann Germany	72	11.0k 1.5×	3.1k 0.9×	914 0.9×	839 1.1×	1.6k 2.1×	320	15.9k
Brendan MacLean United States	35	6.5k 0.9×	4.3k 1.2×	562 0.5×	533 0.7×	537 0.7×	59	9.4k
Tamar Geiger Israel	43	8.9k 1.2×	2.7k 0.7×	1.1k 1.1×	1.4k 1.7×	1.6k 2.0×	100	12.8k
Hanno Steen United States	54	10.4k 1.4×	6.1k 1.7×	783 0.7×	1.2k 1.5×	1.5k 1.9×	218	15.1k
Chanchal Kumar Germany	26	8.4k 1.2×	2.8k 0.8×	506 0.5×	1.4k 1.8×	1.2k 1.5×	35	10.8k

Countries citing papers authored by Paola Picotti

Since Specialization

Citations

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

Fields of papers citing papers by Paola Picotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Picotti

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

Şen, Nesli-Ece, et al.. (2026). Limited proteolysis-coupled mass spectrometry captures proteome-wide protein structural alterations and biomolecular condensation in living cells. Molecular Systems Biology. 22(3). 337–368.

Serdiuk, Tetiana, Dhiman Ghosh, Juan Gerez, et al.. (2025). Alpha-synuclein interacts with regulators of ATP homeostasis in mitochondria. Nature Communications. 16(1). 7651–7651.

Pagotto, Anna, Federico Uliana, Laura Acquasaliente, et al.. (2025). The main protease (Mpro) from SARS-CoV-2 triggers plasma clotting in vitro by activating coagulation factors VII and FXII. Communications Biology. 8(1). 1145–1145.

Pepelnjak, Monika, Britta Velten, Umberto Capasso Palmiero, et al.. (2024). In situ analysis of osmolyte mechanisms of proteome thermal stabilization. Nature Chemical Biology. 20(8). 1053–1065. 16 indexed citations

Schuster, Dina, Alexander Leitner, Paola Picotti, et al.. (2023). Structural basis of calmodulin modulation of the rod cyclic nucleotide-gated channel. Proceedings of the National Academy of Sciences. 120(15). e2300309120–e2300309120. 11 indexed citations

Großbach, Jan, Mathieu Clément‐Ziza, Ludovic Gillet, et al.. (2023). Genetic effects on molecular network states explain complex traits. Molecular Systems Biology. 19(8). e11493–e11493. 13 indexed citations

Pepelnjak, Monika, et al.. (2023). ATP-independent substrate recruitment to proteasomal degradation in mycobacteria. Life Science Alliance. 6(10). e202301923–e202301923. 2 indexed citations

Ortmayr, Karin, Adrián I. Campos, Ludovic Gillet, et al.. (2022). Combining CRISPRi and metabolomics for functional annotation of compound libraries. Nature Chemical Biology. 18(5). 482–491. 32 indexed citations

Schuster, Dina, et al.. (2022). Structure of Mycobacterium tuberculosis Cya, an evolutionary ancestor of the mammalian membrane adenylyl cyclases. eLife. 11. 10 indexed citations

10.

Malinovska, Liliana, Marco Losa, Mattheus H. E. Wildschut, et al.. (2022). Calreticulin mutations affect its chaperone function and perturb the glycoproteome. Cell Reports. 41(8). 111689–111689. 11 indexed citations

11.

Bruderer, Roland, et al.. (2022). Limited Proteolysis–Mass Spectrometry to Identify Metabolite–Protein Interactions. Methods in molecular biology. 2554. 69–89. 15 indexed citations

12.

Bludau, Isabell, Max Frank, Christian Dörig, et al.. (2021). Systematic detection of functional proteoform groups from bottom-up proteomic datasets. Nature Communications. 12(1). 3810–3810. 45 indexed citations

13.

Schuster, Dina, et al.. (2021). protti: an R package for comprehensive data analysis of peptide- and protein-centric bottom-up proteomics data. Bioinformatics Advances. 2(1). vbab041–vbab041. 38 indexed citations

14.

Zampieri, Mattia, Balázs Szappanos, Andrej Trauner, et al.. (2018). High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds. Science Translational Medicine. 10(429). 92 indexed citations

15.

Ganscha, Stefan, Abdullah Kahraman, Valentina Cappelletti, et al.. (2017). Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability. Science. 355(6327). 298 indexed citations

16.

Feng, Yuehan, Giorgia De Franceschi, Abdullah Kahraman, et al.. (2014). Global analysis of protein structural changes in complex proteomes. Nature Biotechnology. 32(10). 1036–1044. 286 indexed citations

17.

Krzyzaniak, Magdalena A., Michael Zumstein, Juan Gerez, Paola Picotti, & Ari Helenius. (2013). Host Cell Entry of Respiratory Syncytial Virus Involves Macropinocytosis Followed by Proteolytic Activation of the F Protein. PLoS Pathogens. 9(4). e1003309–e1003309. 217 indexed citations

18.

Kiyonami, Reiko, Alan Schoen, Amol Prakash, et al.. (2010). Increased Selectivity, Analytical Precision, and Throughput in Targeted Proteomics. Molecular & Cellular Proteomics. 10(2). S1–S11. 144 indexed citations

19.

Picotti, Paola, Oliver Rinner, Terry Farrah, et al.. (2009). High-throughput generation of selected reaction-monitoring assays for proteins and proteomes. Nature Methods. 7(1). 43–46. 371 indexed citations

20.

Pavan, F., Paola Picotti, & V. Girolami. (1992). Strategies for the control of Empoasca vitis Göthe on grapes.. Informatore Agrario. 48(24). 65–72. 1 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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