Deepa V. Dabir

1.3k total citations
17 papers, 1.0k citations indexed

About

Deepa V. Dabir is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Deepa V. Dabir has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cell Biology. Recurrent topics in Deepa V. Dabir's work include Mitochondrial Function and Pathology (8 papers), ATP Synthase and ATPases Research (6 papers) and Alzheimer's disease research and treatments (4 papers). Deepa V. Dabir is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), ATP Synthase and ATPases Research (6 papers) and Alzheimer's disease research and treatments (4 papers). Deepa V. Dabir collaborates with scholars based in United States, Germany and Canada. Deepa V. Dabir's co-authors include John Q. Trojanowski, Mark S. Forman, Virginia M.‐Y. Lee, Carla M. Koehler, Bin Zhang, Eric A. Swanson, Christiane Richter‐Landsberg, Sung‐Kun Kim, Samuel A. Hasson and David B. Knaff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Deepa V. Dabir

17 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepa V. Dabir United States	14	664	286	168	158	152	17	1.0k
Christopher J.R. Dunning Sweden	10	862 1.3×	468 1.6×	113 0.7×	118 0.7×	168 1.1×	13	1.3k
Mariana Melani Argentina	15	640 1.0×	273 1.0×	165 1.0×	213 1.3×	45 0.3×	25	1.0k
Alessandro Bertoli Italy	20	919 1.4×	223 0.8×	166 1.0×	112 0.7×	330 2.2×	48	1.2k
Dianbo Qu Canada	18	720 1.1×	155 0.5×	219 1.3×	206 1.3×	106 0.7×	33	1.1k
Dan Gincel Israel	12	1.1k 1.6×	155 0.5×	434 2.6×	130 0.8×	70 0.5×	13	1.3k
Jennifer Wettmarshausen Germany	9	559 0.8×	98 0.3×	189 1.1×	57 0.4×	61 0.4×	10	863
Stephanie García United States	15	385 0.6×	310 1.1×	200 1.2×	65 0.4×	143 0.9×	19	809
Jaime de Juan‐Sanz United States	12	719 1.1×	186 0.7×	337 2.0×	191 1.2×	35 0.2×	19	1.1k
Martin Borch Jensen United States	12	649 1.0×	244 0.9×	113 0.7×	233 1.5×	35 0.2×	18	1.1k
George K. E. Umanah United States	17	651 1.0×	148 0.5×	193 1.1×	171 1.1×	53 0.3×	19	1.0k

Countries citing papers authored by Deepa V. Dabir

Since Specialization

Citations

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

Fields of papers citing papers by Deepa V. Dabir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepa V. Dabir. 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 Deepa V. Dabir. The network helps show where Deepa V. Dabir may publish in the future.

Co-authorship network of co-authors of Deepa V. Dabir

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

All Works

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17 of 17 papers shown

Jami‐Alahmadi, Yasaman, et al.. (2021). Aim32 is a dual-localized 2Fe-2S mitochondrial protein that functions in redox quality control. Journal of Biological Chemistry. 297(4). 101135–101135. 6 indexed citations

Almstedt, Hawley C., et al.. (2020). Oral contraceptive use, bone mineral density, and bone turnover markers over 12 months in college-aged females. Journal of Bone and Mineral Metabolism. 38(4). 544–554. 16 indexed citations

Momcilovic, Milica, Anthony E. Jones, Sean T. Bailey, et al.. (2019). In vivo imaging of mitochondrial membrane potential in non-small-cell lung cancer. Nature. 575(7782). 380–384. 152 indexed citations

Nguyen, Kevin H., Austin Huy Nguyen, & Deepa V. Dabir. (2017). Clinical Implications of Augmenter of Liver Regeneration in Cancer: A Systematic Review. Anticancer Research. 37(7). 3379–3383. 8 indexed citations

Neal, Sonya E., et al.. (2017). Osm1 facilitates the transfer of electrons from Erv1 to fumarate in the redox-regulated import pathway in the mitochondrial intermembrane space. Molecular Biology of the Cell. 28(21). 2773–2785. 26 indexed citations

Neal, Sonya E., Deepa V. Dabir, Heather L. Tienson, et al.. (2015). Mia40 Protein Serves as an Electron Sink in the Mia40-Erv1 Import Pathway. Journal of Biological Chemistry. 290(34). 20804–20814. 13 indexed citations

Dabir, Deepa V., Samuel A. Hasson, Kiyoko Setoguchi, et al.. (2013). A Small Molecule Inhibitor of Redox-Regulated Protein Translocation into Mitochondria. Developmental Cell. 25(1). 81–92. 74 indexed citations

Arango, Nelson A., Li Li, Deepa V. Dabir, et al.. (2012). Meiosis I Arrest Abnormalities Lead to Severe Oligozoospermia in Meiosis 1 Arresting Protein (M1ap)-Deficient Mice1. Biology of Reproduction. 88(3). 76–76. 27 indexed citations

Bourens, Myriam, Deepa V. Dabir, Heather L. Tienson, et al.. (2012). Role of Twin Cys-Xaa9-Cys Motif Cysteines in Mitochondrial Import of the Cytochrome c Oxidase Biogenesis Factor Cmc1. Journal of Biological Chemistry. 287(37). 31258–31269. 24 indexed citations

10.

Hasson, Samuel A., et al.. (2010). Substrate specificity of the TIM22 mitochondrial import pathway revealed with small molecule inhibitor of protein translocation. Proceedings of the National Academy of Sciences. 107(21). 9578–9583. 35 indexed citations

11.

Tienson, Heather L., Deepa V. Dabir, Sonya E. Neal, et al.. (2009). Reconstitution of the Mia40-Erv1 Oxidative Folding Pathway for the Small Tim Proteins. Molecular Biology of the Cell. 20(15). 3481–3490. 60 indexed citations

12.

Dabir, Deepa V., Sung‐Kun Kim, Frederick D. Tsai, et al.. (2007). A role for cytochrome c and cytochrome c peroxidase in electron shuttling from Erv1. The EMBO Journal. 26(23). 4801–4811. 135 indexed citations

13.

Dabir, Deepa V., Michael B. Robinson, Eric A. Swanson, et al.. (2006). Impaired Glutamate Transport in a Mouse Model of Tau Pathology in Astrocytes. Journal of Neuroscience. 26(2). 644–654. 108 indexed citations

14.

Forman, Mark S., Bin Zhang, Deepa V. Dabir, et al.. (2005). Transgenic Mouse Model of Tau Pathology in Astrocytes Leading to Nervous System Degeneration. Journal of Neuroscience. 25(14). 3539–3550. 148 indexed citations

15.

Dabir, Deepa V., John Q. Trojanowski, Christiane Richter‐Landsberg, Virginia M.‐Y. Lee, & Mark S. Forman. (2004). Expression of the Small Heat-Shock Protein αB-Crystallin in Tauopathies with Glial Pathology. American Journal Of Pathology. 164(1). 155–166. 104 indexed citations

16.

Forman, Mark S., et al.. (2004). O1-04-01 Transgenic mouse models of TAU pathology in astrocytes leading to nervous system degeneration. Neurobiology of Aging. 25. S16–S16. 1 indexed citations

17.

Goldbaum, Olaf, Deepa V. Dabir, Bin Zhang, et al.. (2003). Proteasome Inhibition Stabilizes Tau Inclusions in Oligodendroglial Cells that Occur after Treatment with Okadaic Acid. Journal of Neuroscience. 23(26). 8872–8880. 64 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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