Noemi Pasquarelli

632 total citations
18 papers, 420 citations indexed

About

Noemi Pasquarelli is a scholar working on Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Noemi Pasquarelli has authored 18 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Pathology and Forensic Medicine and 5 papers in Immunology. Recurrent topics in Noemi Pasquarelli's work include Multiple Sclerosis Research Studies (5 papers), Pregnancy and Medication Impact (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). Noemi Pasquarelli is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Pregnancy and Medication Impact (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). Noemi Pasquarelli collaborates with scholars based in Germany, Switzerland and United Kingdom. Noemi Pasquarelli's co-authors include Boris Ferger, Patrick Weydt, Anke Witting, Hanna Bayer, Licínio Craveiro, Cathy Chognot, Ashish Pradhan, Xavier Montalbán, Jerry S. Wolinsky and Ludwig Kappos and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Noemi Pasquarelli

15 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noemi Pasquarelli Germany 10 114 105 104 88 61 18 420
Silvana Montella Italy 8 129 1.1× 83 0.8× 61 0.6× 39 0.4× 14 0.2× 13 409
Antonio Garcı́a-Merino Spain 17 251 2.2× 94 0.9× 209 2.0× 240 2.7× 163 2.7× 31 811
Carlos Lorenzana United States 4 140 1.2× 112 1.1× 184 1.8× 15 0.2× 50 0.8× 4 438
Lee A. Selznick United States 10 79 0.7× 72 0.7× 185 1.8× 43 0.5× 79 1.3× 12 446
Kiandokht Keyhanian United States 11 89 0.8× 199 1.9× 81 0.8× 19 0.2× 20 0.3× 19 398
Tiina Keränen Finland 11 49 0.4× 211 2.0× 134 1.3× 25 0.3× 206 3.4× 12 681
Chihiro Suzuki Japan 10 197 1.7× 137 1.3× 138 1.3× 18 0.2× 31 0.5× 27 453
Michal Irony-Tur-Sinai Israel 10 55 0.5× 25 0.2× 254 2.4× 74 0.8× 34 0.6× 10 525
Karissa Gable United States 11 25 0.2× 139 1.3× 165 1.6× 15 0.2× 69 1.1× 23 442
Gabriela Kłodowska-Duda Poland 14 68 0.6× 348 3.3× 178 1.7× 14 0.2× 160 2.6× 20 641

Countries citing papers authored by Noemi Pasquarelli

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Pasquarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noemi Pasquarelli

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

All Works

18 of 18 papers shown
2.
Vukusic, Sandra, Riley Bove, Ruth Dobson, et al.. (2024). Pregnancy and Infant Outcomes in Women With Multiple Sclerosis Treated With Ocrelizumab. Neurology Neuroimmunology & Neuroinflammation. 12(1). e200349–e200349. 6 indexed citations
3.
Dobson, Ruth, Sandra Vukusic, Riley Bove, et al.. (2024). 176. Pregnancy and Infant Outcomes in Women with Multiple Sclerosis Receiving Ocrelizumab: Analysis of Approximately 4,000 Pregnancies To Date. Multiple Sclerosis and Related Disorders. 92. 106137–106137.
4.
Hellwig, Kerstin, Celia Oreja‐Guevara, Ruth Dobson, et al.. (2024). 175. B-cell Levels in Infants of Lactating Women with Multiple Sclerosis Receiving Ocrelizumab: SOPRANINO Primary Results. Multiple Sclerosis and Related Disorders. 92. 106136–106136.
5.
Bove, Riley, Carlo Pietrasanta, Celia Oreja‐Guevara, et al.. (2024). Pregnancy and Infant Outcomes in Females Receiving Ocrelizumab for the Treatment of Multiple Sclerosis: Analysis of over 3,000 Pregnancies to Date (S7.004). Neurology. 102(7_supplement_1). 2 indexed citations
6.
Hellwig, Kerstin, Celia Oreja‐Guevara, Sandra Vukusic, et al.. (2023). Pregnancy and Infant Outcomes in Women Receiving Ocrelizumab for the Treatment of Multiple Sclerosis: Analysis of the Largest Available Outcomes Database. Multiple Sclerosis and Related Disorders. 80. 105306–105306. 4 indexed citations
7.
Pasquarelli, Noemi, et al.. (2022). Pregnancy outcomes of women with multiple sclerosis treated with ocrelizumab in Canada: A descriptive analysis of real-world data. Multiple Sclerosis and Related Disorders. 62. 103792–103792. 5 indexed citations
8.
Borriello, Francesco, Noemi Pasquarelli, Kim Rand, et al.. (2022). Normal B-cell ranges in infants: A systematic review and meta-analysis. Journal of Allergy and Clinical Immunology. 150(5). 1216–1224. 7 indexed citations
9.
Bove, Riley, Kerstin Hellwig, Noemi Pasquarelli, et al.. (2022). Ocrelizumab during pregnancy and lactation: Rationale and design of the MINORE and SOPRANINO studies in women with MS and their infants. Multiple Sclerosis and Related Disorders. 64. 103963–103963. 11 indexed citations
10.
Hauser, Stephen L., Ludwig Kappos, Xavier Montalbán, et al.. (2021). Safety of Ocrelizumab in Patients With Relapsing and Primary Progressive Multiple Sclerosis. Neurology. 97(16). e1546–e1559. 115 indexed citations
11.
Pasquarelli, Noemi, Hanna Bayer, Meliha Karsak, et al.. (2017). Evaluation of monoacylglycerol lipase as a therapeutic target in a transgenic mouse model of ALS. Neuropharmacology. 124. 157–169. 33 indexed citations
12.
Pasquarelli, Noemi, Hanna Bayer, Stefan Schildknecht, et al.. (2017). Contrasting effects of selective MAGL and FAAH inhibition on dopamine depletion and GDNF expression in a chronic MPTP mouse model of Parkinson's disease. Neurochemistry International. 110. 14–24. 37 indexed citations
13.
Bayer, Hanna, Katrin S. Lindenberg, Noemi Pasquarelli, et al.. (2017). Comparison of Sirtuin 3 Levels in ALS and Huntington’s Disease—Differential Effects in Human Tissue Samples vs. Transgenic Mouse Models. Frontiers in Molecular Neuroscience. 10. 156–156. 30 indexed citations
14.
Pasquarelli, Noemi, et al.. (2017). Effect of a change in housing conditions on body weight, behavior and brain neurotransmitters in male C57BL/6J mice. Behavioural Brain Research. 333. 35–42. 32 indexed citations
15.
Bayer, Hanna, Kerstin Lang, Julia Higelin, et al.. (2016). ALS-causing mutations differentially affect PGC-1α expression and function in the brain vs. peripheral tissues. Neurobiology of Disease. 97(Pt A). 36–45. 38 indexed citations
16.
Schildknecht, Stefan, Regina Pape, Johannes Meiser, et al.. (2015). Preferential Extracellular Generation of the Active Parkinsonian Toxin MPP + by Transporter-Independent Export of the Intermediate MPDP +. Antioxidants and Redox Signaling. 23(13). 1001–1016. 37 indexed citations
17.
Šubr, Vladimír, Noemi Pasquarelli, Tatjana Engler, et al.. (2014). Traceless Bioresponsive Shielding of Adenovirus Hexon with HPMA Copolymers Maintains Transduction Capacity In Vitro and In Vivo. PLoS ONE. 9(1). e82716–e82716. 28 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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