Paola Grassi

1.3k total citations
31 papers, 1.0k citations indexed

About

Paola Grassi is a scholar working on Molecular Biology, Immunology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Paola Grassi has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Paola Grassi's work include Glycosylation and Glycoproteins Research (10 papers), Infant Nutrition and Health (3 papers) and Toxic Organic Pollutants Impact (3 papers). Paola Grassi is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Infant Nutrition and Health (3 papers) and Toxic Organic Pollutants Impact (3 papers). Paola Grassi collaborates with scholars based in United Kingdom, Italy and United States. Paola Grassi's co-authors include Roberto Fanelli, Ettore Zuccato, Stuart M. Haslam, Anne Dell, Sara Castiglioni, Chiara Chiabrando, Renzo Bagnati, Jon Dobson, Jun O. Liu and Benjamin A. Nacev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Paola Grassi

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paola Grassi United Kingdom 17 376 225 209 115 105 31 1.0k
Margit Cichna‐Markl Austria 27 932 2.5× 158 0.7× 253 1.2× 46 0.4× 160 1.5× 83 1.9k
A.P.J.M. de Jong Netherlands 24 641 1.7× 85 0.4× 312 1.5× 288 2.5× 161 1.5× 63 1.9k
Robert O. Harrison United States 15 460 1.2× 166 0.7× 223 1.1× 58 0.5× 121 1.2× 24 1.2k
Ramadan A. Abuknesha United Kingdom 23 839 2.2× 83 0.4× 64 0.3× 56 0.5× 91 0.9× 64 1.6k
Hiroki Kubota Japan 19 294 0.8× 112 0.5× 76 0.4× 26 0.2× 166 1.6× 91 1.2k
Zhijia Fang China 20 392 1.0× 124 0.6× 225 1.1× 75 0.7× 29 0.3× 90 1.4k
John C Rockett United States 26 762 2.0× 99 0.4× 291 1.4× 116 1.0× 24 0.2× 52 1.9k
Julie A. Gosse United States 19 688 1.8× 231 1.0× 587 2.8× 234 2.0× 19 0.2× 35 1.9k
Eric A. E. Garber United States 23 594 1.6× 108 0.5× 190 0.9× 199 1.7× 47 0.4× 54 1.4k
Cynthia Striley United States 17 178 0.5× 250 1.1× 224 1.1× 70 0.6× 18 0.2× 37 1.0k

Countries citing papers authored by Paola Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Paola Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Grassi

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Grassi. A scholar is included among the top collaborators of Paola Grassi 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 Grassi. Paola Grassi 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.
Wu, Gang, Paola Grassi, David A. MacIntyre, et al.. (2024). Glycomics of cervicovaginal fluid from women at risk of preterm birth reveals immuno-regulatory epitopes that are hallmarks of cancer and viral glycosylation. Scientific Reports. 14(1). 20813–20813. 1 indexed citations
2.
Pinna, Federica, Valeria Deiana, Mirko Manchia, et al.. (2022). Depression in Diabetic Patients: What Is the Link With Eating Disorders? Results of a Study in a Representative Sample of Patients With Type 1 Diabetes. Frontiers in Psychiatry. 13. 848031–848031. 5 indexed citations
3.
Wu, Gang, Paola Grassi, David A. MacIntyre, et al.. (2022). N-glycosylation of cervicovaginal fluid reflects microbial community, immune activity, and pregnancy status. Scientific Reports. 12(1). 16948–16948. 12 indexed citations
4.
Nicotra, Eraldo Francesco, et al.. (2020). Smartphone-based interventions for employees' well-being promotion: a systematic review. Electronic journal of applied statistical analysis. 13(3). 739–757. 6 indexed citations
5.
Antonopoulos, Aristotelis, Paola Grassi, Poh‐Choo Pang, et al.. (2020). Insights into the hyperglycosylation of human chorionic gonadotropin revealed by glycomics analysis. PLoS ONE. 15(2). e0228507–e0228507. 16 indexed citations
6.
Wands, Amberlyn M., et al.. (2017). Effects of altered sialic acid biosynthesis on N-linked glycan branching and cell surface interactions. Journal of Biological Chemistry. 292(23). 9637–9651. 22 indexed citations
7.
Grassi, Paola, et al.. (2015). N-glycosylation profile analysis of Trastuzumab biosimilar candidates by Normal Phase Liquid Chromatography and MALDI-TOF MS approaches. Journal of Proteomics. 127(Pt B). 225–233. 42 indexed citations
8.
Clark, Gary F., Kay‐Hooi Khoo, Young‐Joo Yi, et al.. (2012). Useful Mimics for Mammalian Eggs: The Development of Porcine Ovabeads.. Biology of Reproduction. 87(Suppl_1). 61–61. 2 indexed citations
9.
Nystrôm, Kristina, Ghislaine Le Gall-Reculé, Paola Grassi, et al.. (2011). Histo-Blood Group Antigens Act as Attachment Factors of Rabbit Hemorrhagic Disease Virus Infection in a Virus Strain-Dependent Manner. PLoS Pathogens. 7(8). e1002188–e1002188. 92 indexed citations
10.
Blomme, Bram, Christophe Van Steenkiste, Paola Grassi, et al.. (2011). Alterations of serum proteinN-glycosylation in two mouse models of chronic liver disease are hepatocyte and not B cell driven. American Journal of Physiology-Gastrointestinal and Liver Physiology. 300(5). G833–G842. 26 indexed citations
11.
Campomenosi, Paola, Raffaella Cinquetti, Christer Lindqvist, et al.. (2011). Comparison of the baculovirus‐insect cell and Pichia pastoris heterologous systems for the expression of the human tumor suppressor protein RNASET2. Biotechnology and Applied Biochemistry. 58(1). 39–49. 11 indexed citations
12.
Clark, Gary F., Paola Grassi, Poh‐Choo Pang, et al.. (2011). Tumor Biomarker Glycoproteins in the Seminal Plasma of Healthy Human Males Are Endogenous Ligands for DC-SIGN. Molecular & Cellular Proteomics. 11(1). M111.008730–M111.008730. 23 indexed citations
13.
Sun, Wei, Paola Grassi, Åke Engström, et al.. (2011). N-glycans of Human Protein C Inhibitor: Tissue-Specific Expression and Function. PLoS ONE. 6(12). e29011–e29011. 9 indexed citations
14.
15.
North, Simon J., Jihye Jang‐Lee, Kévin Canis, et al.. (2010). Mass Spectrometric Analysis of Mutant Mice. Methods in enzymology on CD-ROM/Methods in enzymology. 478. 27–77. 51 indexed citations
16.
Fang, Meng, Sylviane Dewaele, Yunpeng Zhao, et al.. (2010). Serum N-glycome biomarker for monitoring development of DENA-induced hepatocellular carcinoma in rat. Molecular Cancer. 9(1). 215–215. 26 indexed citations
17.
18.
Zuccato, Ettore, et al.. (2007). PCB concentrations in some foods from four European countries. Food and Chemical Toxicology. 46(3). 1062–1067. 19 indexed citations
19.
Zuccato, Ettore, Sara Castiglioni, Renzo Bagnati, et al.. (2007). Illicit drugs, a novel group of environmental contaminants. Water Research. 42(4-5). 961–968. 244 indexed citations
20.
Dobson, Jon & Paola Grassi. (1996). Magnetic properties of human hippocampal tissue—Evaluation of artefact and contamination sources. Brain Research Bulletin. 39(4). 255–259. 69 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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