Mansi Babbar

3.6k total citations · 1 hit paper
11 papers, 2.5k citations indexed

About

Mansi Babbar is a scholar working on Molecular Biology, Epidemiology and Geriatrics and Gerontology. According to data from OpenAlex, Mansi Babbar has authored 11 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Geriatrics and Gerontology. Recurrent topics in Mansi Babbar's work include Autophagy in Disease and Therapy (3 papers), DNA Repair Mechanisms (3 papers) and Mitochondrial Function and Pathology (3 papers). Mansi Babbar is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), DNA Repair Mechanisms (3 papers) and Mitochondrial Function and Pathology (3 papers). Mansi Babbar collaborates with scholars based in United States and Denmark. Mansi Babbar's co-authors include Deborah L. Croteau, Vilhelm A. Bohr, Xiuli Dan, Yujun Hou, Yong Wei, Steen Gregers Hasselbalch, M. Saeed Sheikh, Tyler G. Demarest, Beimeng Yang and Mark P. Mattson and has published in prestigious journals such as Nucleic Acids Research, Oncogene and Free Radical Biology and Medicine.

In The Last Decade

Mansi Babbar

11 papers receiving 2.5k citations

Hit Papers

Ageing as a risk factor for neurodegenerative disease 2019 2026 2021 2023 2019 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansi Babbar United States 9 1.1k 764 462 316 294 11 2.5k
Yong Wei China 22 1.7k 1.6× 936 1.2× 567 1.2× 330 1.0× 319 1.1× 56 3.9k
Miranda E. Orr United States 22 797 0.8× 1.1k 1.5× 484 1.0× 236 0.7× 163 0.6× 54 2.2k
Yong Tang China 30 1.2k 1.1× 444 0.6× 352 0.8× 278 0.9× 289 1.0× 94 2.6k
Elisa Mitiko Kawamoto Brazil 29 922 0.9× 661 0.9× 465 1.0× 418 1.3× 124 0.4× 67 2.6k
Beimeng Yang China 11 975 0.9× 765 1.0× 355 0.8× 190 0.6× 180 0.6× 18 2.1k
Antonella Tramutola Italy 31 1.1k 1.1× 1.2k 1.6× 305 0.7× 248 0.8× 166 0.6× 63 2.7k
Dan Liu China 31 1.7k 1.6× 1.2k 1.6× 479 1.0× 633 2.0× 195 0.7× 80 3.6k
Yu Yamazaki Japan 22 913 0.9× 1.5k 1.9× 828 1.8× 337 1.1× 311 1.1× 69 2.9k
Evelyn Perez United States 27 943 0.9× 575 0.8× 219 0.5× 306 1.0× 167 0.6× 32 2.6k
Daniela Uberti Italy 37 1.6k 1.5× 998 1.3× 322 0.7× 511 1.6× 264 0.9× 105 3.3k

Countries citing papers authored by Mansi Babbar

Since Specialization
Citations

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

Fields of papers citing papers by Mansi Babbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansi Babbar

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

All Works

11 of 11 papers shown
1.
Yang, Beimeng, Xiuli Dan, Yujun Hou, et al.. (2021). NAD+ supplementation prevents STING‐induced senescence in ataxia telangiectasia by improving mitophagy. Aging Cell. 20(4). e13329–e13329. 84 indexed citations
2.
Dan, Xiuli, Mansi Babbar, Anthony L. Moore, et al.. (2020). DNA damage invokes mitophagy through a pathway involving Spata18. Nucleic Acids Research. 48(12). 6611–6623. 33 indexed citations
3.
Babbar, Mansi, et al.. (2020). Mitophagy and DNA damage signaling in human aging. Mechanisms of Ageing and Development. 186. 111207–111207. 49 indexed citations
4.
Demarest, Tyler G., Vijay R. Varma, Mansi Babbar, et al.. (2020). Biological sex and DNA repair deficiency drive Alzheimer’s disease via systemic metabolic remodeling and brain mitochondrial dysfunction. Acta Neuropathologica. 140(1). 25–47. 51 indexed citations
5.
Yang, Beimeng, et al.. (2019). NEIL1 stimulates neurogenesis and suppresses neuroinflammation after stress. Free Radical Biology and Medicine. 141. 47–58. 25 indexed citations
6.
Hou, Yujun, Xiuli Dan, Mansi Babbar, et al.. (2019). Ageing as a risk factor for neurodegenerative disease. Nature Reviews Neurology. 15(10). 565–581. 2118 indexed citations breakdown →
7.
Babbar, Mansi, et al.. (2019). CHTM1 regulates cancer cell sensitivity to metabolic stress via p38-AIF1 pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 271–271. 3 indexed citations
8.
Lee, Jong‐Hyuk, Tyler G. Demarest, Mansi Babbar, et al.. (2019). Cockayne syndrome group B deficiency reduces H3K9me3 chromatin remodeler SETDB1 and exacerbates cellular aging. Nucleic Acids Research. 47(16). 8548–8562. 33 indexed citations
9.
Babbar, Mansi, Ying Huang, Jie An, Steve Landas, & M. Saeed Sheikh. (2018). CHTM1, a novel metabolic marker deregulated in human malignancies. Oncogene. 37(15). 2052–2066. 6 indexed citations
10.
Demarest, Tyler G., Mansi Babbar, Mustafa Nazir Okur, et al.. (2018). NAD+ Metabolism in Aging and Cancer. 3(1). 105–130. 46 indexed citations
11.
Babbar, Mansi & M. Saeed Sheikh. (2013). Metabolic Stress and Disorders Related to Alterations in Mitochondrial Fission or Fusion.. PubMed. 5(3). 109–133. 55 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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