Maria Pachetti

1.6k total citations · 1 hit paper
16 papers, 866 citations indexed

About

Maria Pachetti is a scholar working on Molecular Biology, Infectious Diseases and Biophysics. According to data from OpenAlex, Maria Pachetti has authored 16 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Biophysics. Recurrent topics in Maria Pachetti's work include SARS-CoV-2 and COVID-19 Research (3 papers), Protein Structure and Dynamics (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Maria Pachetti is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Protein Structure and Dynamics (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Maria Pachetti collaborates with scholars based in Italy, United States and France. Maria Pachetti's co-authors include Davide Zella, Bruna Marini, Rudy Ippodrino, Francesca Benedetti, Massimo Ciccozzi, C. Masciovecchio, Silvia Angeletti, Fabiola Giudici, Robert C. Gallo and Paola Storici and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and The Journal of Physical Chemistry B.

In The Last Decade

Maria Pachetti

16 papers receiving 843 citations

Hit Papers

Emerging SARS-CoV-2 mutation hot spots include a novel RN... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Pachetti Italy 10 585 297 99 83 61 16 866
Xinkai Wu China 5 874 1.5× 253 0.9× 160 1.6× 143 1.7× 84 1.4× 7 1.2k
Changcheng Wu China 9 883 1.5× 422 1.4× 166 1.7× 140 1.7× 84 1.4× 22 1.4k
Yuange Duan China 14 868 1.5× 587 2.0× 160 1.6× 138 1.7× 83 1.4× 52 1.6k
Rudy Ippodrino Italy 13 606 1.0× 577 1.9× 99 1.0× 85 1.0× 90 1.5× 17 1.1k
Zhiqi Song China 8 700 1.2× 215 0.7× 87 0.9× 74 0.9× 63 1.0× 16 1.1k
Bruna Marini Italy 14 735 1.3× 665 2.2× 99 1.0× 90 1.1× 90 1.5× 18 1.4k
Peter V. Markov Italy 2 482 0.8× 158 0.5× 87 0.9× 63 0.8× 28 0.5× 5 622
Yuta Hozumi United States 11 441 0.8× 250 0.8× 38 0.4× 46 0.6× 59 1.0× 16 623
Arturo Torres Ortiz United Kingdom 6 488 0.8× 169 0.6× 68 0.7× 70 0.8× 39 0.6× 9 578
Takahiko Koyama United States 6 467 0.8× 172 0.6× 56 0.6× 80 1.0× 48 0.8× 14 583

Countries citing papers authored by Maria Pachetti

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pachetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Pachetti

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

All Works

16 of 16 papers shown
1.
Pachetti, Maria, et al.. (2024). Exploring Ca2+Dynamics in Myelinating Oligodendrocytes through rAAV-Mediated jGCaMP8s Expression in Developing Spinal Cord Organ Cultures. eNeuro. 11(6). ENEURO.0540–23.2024. 1 indexed citations
3.
Napoli, Michela Di, et al.. (2023). Evaluation of self-sampling-based cervical cancer screening strategy using HPV Selfy CE-IVD test coupled with home-collection kit: a clinical study in Italy. European journal of medical research. 28(1). 582–582. 4 indexed citations
4.
Pascolo, Lorella, Maria Pachetti, Clara Rizzardi, et al.. (2022). Detention and mapping of iron and toxic environmental elements in human ovarian endometriosis: A suggested combined role. The Science of The Total Environment. 864. 161028–161028. 9 indexed citations
5.
Pachetti, Maria, Francesco D’Amico, Luisa Zupin, et al.. (2021). Strategies and Perspectives for UV Resonance Raman Applicability in Clinical Analyses of Human Sperm RNA. International Journal of Molecular Sciences. 22(23). 13134–13134. 3 indexed citations
6.
Pachetti, Maria, Francesco D’Amico, Lorella Pascolo, et al.. (2021). UV Resonance Raman explores protein structural modification upon fibrillation and ligand interaction. Biophysical Journal. 120(20). 4575–4589. 7 indexed citations
7.
Musto, Mattia, Pietro Parisse, Maria Pachetti, et al.. (2021). Shedding plasma membrane vesicles induced by graphene oxide nanoflakes in brain cultured astrocytes. Carbon. 176. 458–469. 11 indexed citations
8.
Stirnemann, Guillaume, et al.. (2021). Specific Interactions and Environment Flexibility Tune Protein Stability under Extreme Crowding. The Journal of Physical Chemistry B. 125(23). 6103–6111. 11 indexed citations
9.
Garoli, Denis, Andrea Schirato, Giorgia Giovannini, et al.. (2020). Galvanic Replacement Reaction as a Route to Prepare Nanoporous Aluminum for UV Plasmonics. Nanomaterials. 10(1). 102–102. 21 indexed citations
10.
D’Amico, Francesco, Maria Pachetti, Alessandro Gessini, et al.. (2020). Investigation of genomic DNA methylation by ultraviolet resonant Raman spectroscopy. Journal of Biophotonics. 13(12). e202000150–e202000150. 14 indexed citations
11.
Pachetti, Maria, Luisa Zupin, Elisa Mitri, et al.. (2020). FTIR Spectroscopy to Reveal Lipid and Protein Changes Induced on Sperm by Capacitation: Bases for an Improvement of Sample Selection in ART. International Journal of Molecular Sciences. 21(22). 8659–8659. 18 indexed citations
12.
Pachetti, Maria, Bruna Marini, Francesca Benedetti, et al.. (2020). Emerging SARS-CoV-2 mutation hot spots include a novel RNA-dependent-RNA polymerase variant. Journal of Translational Medicine. 18(1). 179–179. 606 indexed citations breakdown →
13.
Pachetti, Maria, Bruna Marini, Fabiola Giudici, et al.. (2020). Impact of lockdown on Covid-19 case fatality rate and viral mutations spread in 7 countries in Europe and North America. Journal of Translational Medicine. 18(1). 338–338. 81 indexed citations
14.
Benedetti, Francesca, Maria Pachetti, Bruna Marini, et al.. (2020). Inverse correlation between average monthly high temperatures and COVID-19-related death rates in different geographical areas. Journal of Translational Medicine. 18(1). 251–251. 33 indexed citations
15.
Benedetti, Francesca, Maria Pachetti, Bruna Marini, et al.. (2020). SARS‐CoV‐2: March toward adaptation. Journal of Medical Virology. 92(11). 2274–2276. 13 indexed citations
16.
Stirnemann, Guillaume, M. Zanatta, S. Capaccioli, et al.. (2017). Critical structural fluctuations of proteins upon thermal unfolding challenge the Lindemann criterion. Proceedings of the National Academy of Sciences. 114(35). 9361–9366. 33 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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