Pietro Sormanni

5.2k total citations · 1 hit paper
75 papers, 3.1k citations indexed

About

Pietro Sormanni is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Pietro Sormanni has authored 75 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 35 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Physiology. Recurrent topics in Pietro Sormanni's work include Monoclonal and Polyclonal Antibodies Research (34 papers), Protein Structure and Dynamics (23 papers) and Protein purification and stability (20 papers). Pietro Sormanni is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (34 papers), Protein Structure and Dynamics (23 papers) and Protein purification and stability (20 papers). Pietro Sormanni collaborates with scholars based in United Kingdom, Italy and United States. Pietro Sormanni's co-authors include Michele Vendruscolo, Francesco A. Aprile, Christopher M. Dobson, Tuomas P. J. Knowles, Carlo Camilloni, Gabriella T. Heller, Petar Veličković, Francesco Simone Ruggeri, Giulia Vecchi and Prajwal Ciryam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Pietro Sormanni

71 papers receiving 3.0k 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.

Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanisms

2019 387 citations Suman De, David C. Wirthensohn et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pietro Sormanni United Kingdom	29	2.3k	805	645	365	241	75	3.1k
Rodrigo Gallardo Belgium	25	1.8k 0.8×	174 0.2×	800 1.2×	278 0.8×	158 0.7×	41	2.8k
Jack Nguyen United States	27	3.8k 1.7×	199 0.2×	1.3k 2.0×	313 0.9×	239 1.0×	45	5.0k
Francesco A. Aprile United Kingdom	24	2.0k 0.9×	377 0.5×	1.4k 2.2×	278 0.8×	308 1.3×	60	3.5k
Friedrich W. Herberg Germany	41	4.0k 1.7×	262 0.3×	382 0.6×	359 1.0×	214 0.9×	153	5.1k
Bente Vestergaard Denmark	31	2.2k 0.9×	208 0.3×	656 1.0×	641 1.8×	124 0.5×	68	3.2k
Simone Hornemann Switzerland	34	5.3k 2.3×	317 0.4×	855 1.3×	483 1.3×	64 0.3×	70	6.0k
Mary A. Dwyer United States	21	1.6k 0.7×	257 0.3×	331 0.5×	259 0.7×	87 0.4×	35	2.6k
Łukasz A. Joachimiak United States	23	1.9k 0.8×	129 0.2×	457 0.7×	541 1.5×	137 0.6×	43	2.4k
Joseph M. Rogers United States	28	2.1k 0.9×	133 0.2×	736 1.1×	394 1.1×	87 0.4×	55	3.2k
Joyce W. Lustbader United States	25	1.6k 0.7×	275 0.3×	614 1.0×	162 0.4×	54 0.2×	48	3.1k

Countries citing papers authored by Pietro Sormanni

Since Specialization

Citations

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

Fields of papers citing papers by Pietro Sormanni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Sormanni

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

Visentin, Cristina, et al.. (2025). The SpyBLI cell-free pipeline for the rapid quantification of binding kinetics from crude samples. RSC Chemical Biology. 6(8). 1313–1327.

Greenig, Matthew, et al.. (2024). Automated optimization of the solubility of a hyper-stable α-amylase. Open Biology. 14(5). 240014–240014. 2 indexed citations

Santos, Ana L. Gomes dos, Wu Su, Werngard Czechtizky, et al.. (2023). Sequence-based prediction of the intrinsic solubility of peptides containing non-natural amino acids. Nature Communications. 14(1). 7475–7475. 16 indexed citations

Löhr, Thomas, Pietro Sormanni, & Michele Vendruscolo. (2022). Conformational Entropy as a Potential Liability of Computationally Designed Antibodies. Biomolecules. 12(5). 718–718. 10 indexed citations

Satapathy, Sandeep, Daniel R. Whiten, Megan A. Kelly, et al.. (2021). Neuroserpin and transthyretin are extracellular chaperones that preferentially inhibit amyloid formation. Science Advances. 7(50). eabf7606–eabf7606. 11 indexed citations

Sormanni, Pietro, et al.. (2021). Quantifying misfolded protein oligomers as drug targets and biomarkers in Alzheimer and Parkinson diseases. Nature Reviews Chemistry. 5(4). 277–294. 72 indexed citations

Ikenoue, Tatsuya, Francesco A. Aprile, Pietro Sormanni, & Michele Vendruscolo. (2021). Rationally Designed Bicyclic Peptides Prevent the Conversion of Aβ42 Assemblies Into Fibrillar Structures. Frontiers in Neuroscience. 15. 623097–623097. 6 indexed citations

Lorenzen, Nikolai, et al.. (2021). Assessment of Therapeutic Antibody Developability by Combinations of In Vitro and In Silico Methods. Methods in molecular biology. 2313. 57–113. 33 indexed citations

Aprile, Francesco A., et al.. (2020). Systematic Activity Maturation of a Single-Domain Antibody with Non-canonical Amino Acids through Chemical Mutagenesis. Cell chemical biology. 28(1). 70–77.e5. 13 indexed citations

10.

Ikenoue, Tatsuya, Francesco A. Aprile, Pietro Sormanni, et al.. (2020). A rationally designed bicyclic peptide remodels Aβ42 aggregation in vitro and reduces its toxicity in a worm model of Alzheimer’s disease. Scientific Reports. 10(1). 15280–15280. 17 indexed citations

11.

Aprile, Francesco A., et al.. (2020). Rational Design of Conformation-Specific Antibodies for Tau Oligomers. Biophysical Journal. 118(3). 370a–371a. 1 indexed citations

12.

De, Suman, David C. Wirthensohn, Patrick Flagmeier, et al.. (2019). Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanisms. Nature Communications. 10(1). 1541–1541. 387 indexed citations breakdown →

13.

Ahmed, Nabeel, Pietro Sormanni, Prajwal Ciryam, et al.. (2019). Identifying A- and P-site locations on ribosome-protected mRNA fragments using Integer Programming. Scientific Reports. 9(1). 6256–6256. 14 indexed citations

14.

Sormanni, Pietro & Michele Vendruscolo. (2019). Protein Solubility Predictions Using the CamSol Method in the Study of Protein Homeostasis. Cold Spring Harbor Perspectives in Biology. 11(12). a033845–a033845. 45 indexed citations

15.

Liberis, Edgar, Petar Veličković, Pietro Sormanni, Michele Vendruscolo, & Píetro Lió. (2018). Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinformatics. 34(17). 2944–2950. 112 indexed citations

16.

Marchand, Tanguy Le, Matteo de Rosa, Nicola Salvi, et al.. (2018). Conformational dynamics in crystals reveal the molecular bases for D76N beta-2 microglobulin aggregation propensity. Nature Communications. 9(1). 1658–1658. 50 indexed citations

17.

Sormanni, Pietro, et al.. (2017). Rapid and accurate in silico solubility screening of a monoclonal antibody library. Scientific Reports. 7(1). 8200–8200. 97 indexed citations

18.

Piovesan, Damiano, Francesco Tabaro, Lisanna Paladin, et al.. (2017). MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins. Nucleic Acids Research. 46(D1). D471–D476. 142 indexed citations

19.

Sormanni, Pietro, Carlo Camilloni, Piero Fariselli, & Michele Vendruscolo. (2014). The s2D Method: Simultaneous Sequence-Based Prediction of the Statistical Populations of Ordered and Disordered Regions in Proteins. Journal of Molecular Biology. 427(4). 982–996. 65 indexed citations

20.

Chen, Jin, Hisashi Yagi, Pietro Sormanni, et al.. (2012). Fibrillogenic propensity of the GroEL apical domain: A Janus‐faced minichaperone. FEBS Letters. 586(8). 1120–1127. 16 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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