Nelly Olova

3.7k total citations · 1 hit paper
19 papers, 2.5k citations indexed

About

Nelly Olova is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Nelly Olova has authored 19 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Nelly Olova's work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (5 papers) and Genetic Syndromes and Imprinting (4 papers). Nelly Olova is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (5 papers) and Genetic Syndromes and Imprinting (4 papers). Nelly Olova collaborates with scholars based in United Kingdom, United States and Germany. Nelly Olova's co-authors include Tamir Chandra, Daniel J. Simpson, Wolf Reik, Paula Carroll, Ann P. Wheeler, Andrea Leitch, Marcin Nowotny, Carol-Anne Martin, Jacqueline K. Rainger and Karen J. Mackenzie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Nelly Olova

19 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

cGAS surveillance of micronuclei links genome instability to innate immunity

2017 1.2k citations Karen J. Mackenzie, Paula Carroll et al. Nature profile →

Peers

Nelly Olova

IMMUN

ONCOL

GENET

Andrea Leitch United Kingdom

Michael Lindberg United States

Kristen W. Lynch United States

Michael J. Klemsz United States

Rebecca H. Herbst United States

John R. Doedens United States

Nagesh Rao United States

Belinda Whittle Australia

Tyson V. Sharp United Kingdom

Akinori Kanai Japan

Andrea Leitch United Kingdom

Nelly Olova

1.3k ×0.8

1.0k ×1.1

IMMUN

392 ×1.2

ONCOL

203 ×0.8

171 ×0.8

GENET

Citations per year, relative to Nelly Olova Nelly Olova (= 1×) peers Andrea Leitch

Countries citing papers authored by Nelly Olova

Since Specialization

Citations

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

Fields of papers citing papers by Nelly Olova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nelly Olova

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

All Works

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19 of 19 papers shown

Olova, Nelly & Simon Andrews. (2024). Whole Genome Methylation Sequencing via Enzymatic Conversion (EM-seq): Protocol, Data Processing, and Analysis. Methods in molecular biology. 2866. 73–98. 1 indexed citations

Simpson, Daniel J., et al.. (2023). Region‐based epigenetic clock design improves RRBS‐based age prediction. Aging Cell. 22(8). e13866–e13866. 8 indexed citations

Martin, Sally, Daniel Poppe, Nelly Olova, et al.. (2023). Embryonic Stem Cell-Derived Neurons as a Model System for Epigenome Maturation during Development. Genes. 14(5). 957–957. 3 indexed citations

Olova, Nelly. (2021). ELISA-Based Quantitation of Global 5hmC Levels. Methods in molecular biology. 2272. 45–63. 7 indexed citations

Simpson, Daniel J., Nelly Olova, & Tamir Chandra. (2021). Cellular reprogramming and epigenetic rejuvenation. Clinical Epigenetics. 13(1). 170–170. 71 indexed citations

Olova, Nelly. (2021). Avidin-Biotin ELISA-Based Detection of 5hmC. Methods in molecular biology. 2272. 65–76. 2 indexed citations

González‐Huici, Víctor, et al.. (2020). Single-cell RNA sequencing of human breast tumour-infiltrating immune cells reveals a γδ T-cell subtype associated with good clinical outcome. Life Science Alliance. 4(1). e202000680–e202000680. 13 indexed citations

Teo, Yee Voan, Nattaphong Rattanavirotkul, Nelly Olova, et al.. (2019). Notch Signaling Mediates Secondary Senescence. Cell Reports. 27(4). 997–1007.e5. 98 indexed citations

Olova, Nelly, Daniel J. Simpson, Riccardo E. Marioni, & Tamir Chandra. (2018). Partial reprogramming induces a steady decline in epigenetic age before loss of somatic identity. Aging Cell. 18(1). e12877–e12877. 123 indexed citations

10.

Olova, Nelly, Felix Krueger, Simon Andrews, et al.. (2018). Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data. Genome biology. 19(1). 33–33. 196 indexed citations

11.

Kalkan, Tüzer, Nelly Olova, Mila Roode, et al.. (2017). Tracking the embryonic stem cell transition from ground state pluripotency. Development. 144(7). 1221–1234. 196 indexed citations

12.

Berrens, Rebecca V., Simon Andrews, Dominik Spensberger, et al.. (2017). An endosiRNA-Based Repression Mechanism Counteracts Transposon Activation during Global DNA Demethylation in Embryonic Stem Cells. Cell stem cell. 21(5). 694–703.e7. 53 indexed citations

13.

Mackenzie, Karen J., Paula Carroll, Carol-Anne Martin, et al.. (2017). cGAS surveillance of micronuclei links genome instability to innate immunity. Nature. 548(7668). 461–465. 1193 indexed citations breakdown →

14.

Saksouk, Nehmé, Teresa K. Barth, Céline Ziegler-Birling, et al.. (2015). Redundant Mechanisms to Form Silent Chromatin at Pericentromeric Regions Rely on BEND3 and DNA Methylation. Molecular Cell. 57(1). 202–202. 1 indexed citations

15.

Saksouk, Nehmé, Céline Ziegler-Birling, Nelly Olova, et al.. (2014). Redundant Mechanisms to Form Silent Chromatin at Pericentromeric Regions Rely on BEND3 and DNA Methylation. Molecular Cell. 56(4). 580–594. 156 indexed citations

16.

Raddatz, Günter, Paloma M. Guzzardo, Nelly Olova, et al.. (2013). Dnmt2-dependent methylomes lack defined DNA methylation patterns. Proceedings of the National Academy of Sciences. 110(21). 8627–8631. 175 indexed citations

17.

Hancox, Robert J., Richie Poulton, David Welch, et al.. (2009). Accelerated decline in lung function in cigarette smokers is associated with TP53/MDM2 polymorphisms. Human Genetics. 126(4). 559–565. 10 indexed citations

18.

Roumenina, Lubka T., Marieta M. Ruseva, Rohit Ghai, et al.. (2006). Interaction of C1q with IgG1, C-reactive Protein and Pentraxin 3: Mutational Studies Using Recombinant Globular Head Modules of Human C1q A, B, and C Chains. Biochemistry. 45(13). 4093–4104. 124 indexed citations

19.

Roumenina, Lubka T., Mihaela Gadjeva, Martin Kolev, et al.. (2006). Existence of Different but Overlapping IgG- and IgM-Binding Sites on the Globular Domain of Human C1q. Biochemistry. 45(33). 9979–9988. 36 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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