Nóra M. Márkus

753 total citations
7 papers, 495 citations indexed

About

Nóra M. Márkus is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Nóra M. Márkus has authored 7 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Nóra M. Márkus's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Nóra M. Márkus is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Nóra M. Márkus collaborates with scholars based in United Kingdom, United States and India. Nóra M. Márkus's co-authors include Giles E. Hardingham, Philip Hasel, Paul Baxter, Sean McKay, David J. A. Wyllie, Siddharthan Chandran, Owen Dando, Samuel Heron, T. Ian Simpson and Abel Eraso‐Pichot and has published in prestigious journals such as Nature Communications, PLoS ONE and Cell Death and Disease.

In The Last Decade

Nóra M. Márkus

7 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nóra M. Márkus United Kingdom 6 279 171 169 85 81 7 495
Denisa Kirdajová Czechia 12 266 1.0× 268 1.6× 171 1.0× 97 1.1× 117 1.4× 19 664
Tamar Lordkipanidze Georgia 12 286 1.0× 196 1.1× 229 1.4× 113 1.3× 108 1.3× 24 660
Jana Turečková Czechia 9 198 0.7× 204 1.2× 136 0.8× 98 1.2× 50 0.6× 14 523
Federica Mastroiacovo Italy 12 233 0.8× 122 0.7× 260 1.5× 100 1.2× 50 0.6× 23 556
De-En Xu China 12 179 0.6× 113 0.7× 115 0.7× 136 1.6× 82 1.0× 20 429
Farah Chali France 13 260 0.9× 113 0.7× 161 1.0× 114 1.3× 43 0.5× 16 580
Edward Beamer Ireland 17 230 0.8× 160 0.9× 308 1.8× 88 1.0× 36 0.4× 22 773
Raquel Bajo‐Grañeras Spain 9 149 0.5× 154 0.9× 244 1.4× 83 1.0× 49 0.6× 12 492
Olena Butenko Czechia 13 233 0.8× 165 1.0× 207 1.2× 110 1.3× 102 1.3× 16 520
Jayden Lee United States 4 141 0.5× 136 0.8× 175 1.0× 99 1.2× 48 0.6× 5 425

Countries citing papers authored by Nóra M. Márkus

Since Specialization
Citations

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

Fields of papers citing papers by Nóra M. Márkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nóra M. Márkus. 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 Nóra M. Márkus. The network helps show where Nóra M. Márkus may publish in the future.

Co-authorship network of co-authors of Nóra M. Márkus

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

All Works

7 of 7 papers shown
1.
Jiwaji, Zoeb, Nóra M. Márkus, Jamie McQueen, et al.. (2023). General anesthesia alters CNS and astrocyte expression of activity-dependent and activity-independent genes. PubMed. 3. 1216366–1216366. 2 indexed citations
2.
Sun, Yu, Andrew C. Pearce, Simona Eleuteri, et al.. (2023). Knockout or inhibition of USP30 protects dopaminergic neurons in a Parkinson’s disease mouse model. Nature Communications. 14(1). 7295–7295. 43 indexed citations
3.
Baxter, Paul, Nóra M. Márkus, Owen Dando, et al.. (2021). Targeted de-repression of neuronal Nrf2 inhibits α-synuclein accumulation. Cell Death and Disease. 12(2). 218–218. 19 indexed citations
4.
Souza, Cleide Dos Santos, Allan C. Shaw, Simon Bell, et al.. (2020). Directly converted astrocytes retain the ageing features of the donor fibroblasts and elucidate the astrocytic contribution to human CNS health and disease. Aging Cell. 20(1). e13281–e13281. 35 indexed citations
5.
Hasel, Philip, Owen Dando, Zoeb Jiwaji, et al.. (2017). Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism. Nature Communications. 8(1). 15132–15132. 216 indexed citations
6.
Márkus, Nóra M., Philip Hasel, Jing Qiu, et al.. (2016). Expression of mRNA Encoding Mcu and Other Mitochondrial Calcium Regulatory Genes Depends on Cell Type, Neuronal Subtype, and Ca2+ Signaling. PLoS ONE. 11(2). e0148164–e0148164. 25 indexed citations
7.
Bell, Karen, Bashayer Al‐Mubarak, Sean McKay, et al.. (2015). Neuronal development is promoted by weakened intrinsic antioxidant defences due to epigenetic repression of Nrf2. Nature Communications. 6(1). 7066–7066. 155 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Denisa Kirdajová Breakdown of academic impact, for papers by Tamar Lordkipanidze Breakdown of academic impact, for papers by Jana Turečková Breakdown of academic impact, for papers by Federica Mastroiacovo Breakdown of academic impact, for papers by De-En Xu Breakdown of academic impact, for papers by Farah Chali Breakdown of academic impact, for papers by Edward Beamer Breakdown of academic impact, for papers by Raquel Bajo‐Grañeras Breakdown of academic impact, for papers by Olena Butenko Breakdown of academic impact, for papers by Jayden Lee
Rankless by CCL
2026