Mirela Cerghet

1.2k total citations
38 papers, 881 citations indexed

About

Mirela Cerghet is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Neurology. According to data from OpenAlex, Mirela Cerghet has authored 38 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 14 papers in Molecular Biology and 11 papers in Neurology. Recurrent topics in Mirela Cerghet's work include Multiple Sclerosis Research Studies (16 papers), Peripheral Neuropathies and Disorders (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Mirela Cerghet is often cited by papers focused on Multiple Sclerosis Research Studies (16 papers), Peripheral Neuropathies and Disorders (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Mirela Cerghet collaborates with scholars based in United States, France and Germany. Mirela Cerghet's co-authors include Robert P. Skoff, Denise Bessert, Zhan Zhang, Chadwick Mullins, M. Saïd Ghandour, Faye S. Silverstein, Dekun Song, John Barks, Lonni Schultz and Shailendra Giri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Mirela Cerghet

37 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirela Cerghet United States 14 284 210 185 132 127 38 881
Alfredo Rodríguez Antigüedad Spain 17 381 1.3× 368 1.8× 167 0.9× 144 1.1× 57 0.4× 59 1.4k
Jan Thöne Germany 18 290 1.0× 203 1.0× 56 0.3× 113 0.9× 64 0.5× 35 908
Lihong Bu United States 12 194 0.7× 282 1.3× 41 0.2× 101 0.8× 85 0.7× 28 1.1k
Johan Zelano Sweden 23 138 0.5× 206 1.0× 82 0.4× 258 2.0× 644 5.1× 104 1.5k
Rita Cittadella Italy 18 233 0.8× 274 1.3× 34 0.2× 189 1.4× 174 1.4× 36 1.0k
Tamara Berkutzki Israel 11 133 0.5× 481 2.3× 152 0.8× 159 1.2× 77 0.6× 12 1.8k
Leonie Herx Canada 12 94 0.3× 331 1.6× 197 1.1× 121 0.9× 69 0.5× 20 1.3k
Erik Bahn Germany 16 164 0.6× 432 2.1× 68 0.4× 255 1.9× 24 0.2× 43 959
Stig Wergeland Norway 21 777 2.7× 264 1.3× 105 0.6× 165 1.3× 22 0.2× 58 1.2k
Sarah Jesse Germany 18 153 0.5× 363 1.7× 36 0.2× 490 3.7× 24 0.2× 43 1.1k

Countries citing papers authored by Mirela Cerghet

Since Specialization
Citations

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

Fields of papers citing papers by Mirela Cerghet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirela Cerghet

This figure shows the co-authorship network connecting the top 25 collaborators of Mirela Cerghet. A scholar is included among the top collaborators of Mirela Cerghet 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 Mirela Cerghet. Mirela Cerghet 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.
Zahoor, Insha, Mohammad Ejaz Ahmed, Mir Sajad, et al.. (2025). Maresin-1 promotes neuroprotection and modulates metabolic and inflammatory responses in disease-associated cell types in preclinical models of multiple sclerosis. Journal of Biological Chemistry. 301(3). 108226–108226. 5 indexed citations
2.
Datta, Indrani, Insha Zahoor, Mirela Cerghet, et al.. (2024). Utility of an Untargeted Metabolomics Approach Using a 2D GC-GC-MS Platform to Distinguish Relapsing and Progressive Multiple Sclerosis. Metabolites. 14(9). 493–493. 1 indexed citations
3.
4.
Affan, Muhammad, et al.. (2024). A Comprehensive Characterization of Patients with Spinal Cord Neurosarcoidosis: A Single Center Cross-Sectional Study of Clinical Outcomes. Journal of Clinical Medicine. 13(17). 5069–5069. 1 indexed citations
5.
Sajad, Mir, et al.. (2023). Pyruvate Dehydrogenase-Dependent Metabolic Programming Affects the Oligodendrocyte Maturation and Remyelination. Molecular Neurobiology. 61(1). 397–410. 3 indexed citations
6.
Zahoor, Insha, Hamid Suhail, Indrani Datta, et al.. (2022). Blood-based untargeted metabolomics in relapsing-remitting multiple sclerosis revealed the testable therapeutic target. Proceedings of the National Academy of Sciences. 119(25). e2123265119–e2123265119. 42 indexed citations
8.
Fitzgerald, Kathryn C., Matthew D. Smith, Sol Kim, et al.. (2021). Multi-omic evaluation of metabolic alterations in multiple sclerosis identifies shifts in aromatic amino acid metabolism. Cell Reports Medicine. 2(10). 100424–100424. 50 indexed citations
10.
Affan, Muhammad, et al.. (2020). The effect of race on clinical presentation and outcomes in neurosarcoidosis. Journal of the Neurological Sciences. 417. 117073–117073. 3 indexed citations
11.
Chaudhry, Farhan, Omar M Said, Jia Lin, et al.. (2020). COVID-19 in multiple sclerosis patients and risk factors for severe infection. Journal of the Neurological Sciences. 418. 117147–117147. 65 indexed citations
12.
Singh, Jaipaul, Mirela Cerghet, Laila Poisson, et al.. (2018). Urinary and Plasma Metabolomics Identify the Distinct Metabolic Profile of Disease State in Chronic Mouse Model of Multiple Sclerosis. Journal of Neuroimmune Pharmacology. 14(2). 241–250. 18 indexed citations
13.
Nejad‐Davarani, Siamak P., Michael Chopp, Scott Peltier, et al.. (2016). Resting state fMRI connectivity analysis as a tool for detection of abnormalities in five different cognitive networks of the brain in MS patients. PubMed. 2(12). 464–471. 7 indexed citations
14.
Poisson, Laila, Hamid Suhail, Jaspreet Singh, et al.. (2015). Untargeted Plasma Metabolomics Identifies Endogenous Metabolite with Drug-like Properties in Chronic Animal Model of Multiple Sclerosis. Journal of Biological Chemistry. 290(52). 30697–30712. 78 indexed citations
15.
Cerghet, Mirela, et al.. (2013). NMO-IgG positive relapsing longitudinally extensive transverse myelitis (LETM) in a seropositive HIV patient. Clinical Neurology and Neurosurgery. 115(9). 1873–1875. 9 indexed citations
16.
Cerghet, Mirela, et al.. (2012). Neuromyelitis optica in a patient with pemphigus foliaceus. Journal of the Neurological Sciences. 319(1-2). 152–155. 9 indexed citations
17.
Cerghet, Mirela, Robert P. Skoff, Muthulekha Swamydas, & Denise Bessert. (2009). Sexual dimorphism in the white matter of rodents. Journal of the Neurological Sciences. 286(1-2). 76–80. 57 indexed citations
18.
Lafata, Jennifer Elston, et al.. (2008). Measuring adherence and persistence to disease-modifying agents among patients with relapsing remitting multiple sclerosis. Journal of the American Pharmacists Association. 48(6). 752–757. 45 indexed citations
19.
Cerghet, Mirela, Robert P. Skoff, Denise Bessert, et al.. (2006). Proliferation and Death of Oligodendrocytes and Myelin Proteins Are Differentially Regulated in Male and Female Rodents. Journal of Neuroscience. 26(5). 1439–1447. 152 indexed citations
20.
Cerghet, Mirela, Denise Bessert, Klaus-Armin Nave, & Robert P. Skoff. (2001). Differential expression of apoptotic markers in jimpy and in Plp overexpressors: evidence for different apoptotic pathways. Journal of Neurocytology. 30(9-10). 841–855. 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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