Julia Ablaeva

2.9k total citations · 2 hit papers
14 papers, 1.4k citations indexed

About

Julia Ablaeva is a scholar working on Molecular Biology, Cell Biology and Rheumatology. According to data from OpenAlex, Julia Ablaeva has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Rheumatology. Recurrent topics in Julia Ablaeva's work include Epigenetics and DNA Methylation (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Julia Ablaeva is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Julia Ablaeva collaborates with scholars based in United States, Israel and China. Julia Ablaeva's co-authors include Andrei Seluanov, Vera Gorbunova, Xiao Tian, Eviatar Nevo, Christopher Hine, Jorge Azpurua, Max Myakishev-Rempel, Zhiyong Mao, Amita Vaidya and Andrei V. Gudkov and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Julia Ablaeva

14 papers receiving 1.4k 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.

High-molecular-mass hyaluronan mediates the cancer resistance of the naked mole rat

2013 558 citations Xiao Tian, Jorge Azpurua et al. Nature profile →
LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient Mice Drives Inflammation

2019 305 citations Matthew Simon, Michael Van Meter et al. Cell Metabolism profile →

Peers

Julia Ablaeva

MB

CB

AGING

PHYSI

GENET

Todd Nystul United States

Jorge Azpurua United States

Gary R. Hime Australia

Alexander J. Osborn United States

Jean-Marc Lemaı̂tre France

Andrew M. Spence Canada

Xiushan Wu China

Lee G. Fradkin United States

James E. Wilhelm United States

Ka Ming Pang United States

Todd Nystul United States

Julia Ablaeva

1.2k ×1.4

MB

401 ×1.4

CB

204 ×0.8

AGING

118 ×0.6

PHYSI

210 ×1.2

GENET

Citations per year, relative to Julia Ablaeva Julia Ablaeva (= 1×) peers Todd Nystul

Countries citing papers authored by Julia Ablaeva

Since Specialization

Citations

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

Fields of papers citing papers by Julia Ablaeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Ablaeva

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Zhang, Zhihui, Xiao Tian, Julia Ablaeva, et al.. (2023). Increased hyaluronan by naked mole-rat Has2 improves healthspan in mice. Nature. 621(7977). 196–205. 76 indexed citations

2.

Zhao, Yang, Zhizhong Zheng, Zhihui Zhang, et al.. (2023). Evolution of high-molecular-mass hyaluronic acid is associated with subterranean lifestyle. Nature Communications. 14(1). 8054–8054. 16 indexed citations

3.

Kerepesi, Csaba, Margarita Meer, Julia Ablaeva, et al.. (2022). Epigenetic aging of the demographically non-aging naked mole-rat. Nature Communications. 13(1). 355–355. 28 indexed citations

4.

Simon, Matthew, Yang Zhao, Julia Ablaeva, et al.. (2022). Comparative transcriptomics reveals circadian and pluripotency networks as two pillars of longevity regulation. Cell Metabolism. 34(6). 836–856.e5. 50 indexed citations

5.

Zhang, Zhihui, Xiao Tian, Julia Ablaeva, et al.. (2022). Naked Mole-Rat Hyaluronan Synthase 2 Promotes Longevity and Enhances Healthspan in Mice. SSRN Electronic Journal. 1 indexed citations

6.

Horvath, Steve, Amin Haghani, Nicholas Macoretta, et al.. (2021). DNA methylation clocks tick in naked mole rats but queens age more slowly than nonbreeders. Nature Aging. 2(1). 46–59. 47 indexed citations

7.

Zhang, Lei, Xiao Dong, Xiao Tian, et al.. (2021). Maintenance of genome sequence integrity in long- and short-lived rodent species. Science Advances. 7(44). eabj3284–eabj3284. 31 indexed citations

8.

Zhao, Yang, Quanwei Zhang, Quan Lu, et al.. (2021). Transposon-triggered innate immune response confers cancer resistance to the blind mole rat. Nature Immunology. 22(10). 1219–1230. 54 indexed citations

9.

Zhang, Quanwei, Gregory Tombline, Julia Ablaeva, et al.. (2021). Genomic expansion of Aldh1a1 protects beavers against high metabolic aldehydes from lipid oxidation. Cell Reports. 37(6). 109965–109965. 14 indexed citations

10.

Takasugi, Masaki, Denis Firsanov, Gregory Tombline, et al.. (2020). Naked mole-rat very-high-molecular-mass hyaluronan exhibits superior cytoprotective properties. Nature Communications. 11(1). 2376–2376. 79 indexed citations

11.

Simon, Matthew, Michael Van Meter, Julia Ablaeva, et al.. (2019). LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient Mice Drives Inflammation. Cell Metabolism. 29(4). 871–885.e5. 305 indexed citations breakdown →

12.

Tan, Li, Zhonghe Ke, Gregory Tombline, et al.. (2017). Naked Mole Rat Cells Have a Stable Epigenome that Resists iPSC Reprogramming. Stem Cell Reports. 9(5). 1721–1734. 57 indexed citations

13.

Tian, Xiao, Jorge Azpurua, Christopher Hine, et al.. (2013). High-molecular-mass hyaluronan mediates the cancer resistance of the naked mole rat. Nature. 499(7458). 346–349. 558 indexed citations breakdown →

14.

Gorbunova, Vera, Christopher Hine, Xiao Tian, et al.. (2012). Cancer resistance in the blind mole rat is mediated by concerted necrotic cell death mechanism. Proceedings of the National Academy of Sciences. 109(47). 19392–19396. 116 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