Deepa Ajit

1.4k total citations
23 papers, 1.1k citations indexed

About

Deepa Ajit is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Deepa Ajit has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Neurology and 9 papers in Physiology. Recurrent topics in Deepa Ajit's work include Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Adenosine and Purinergic Signaling (7 papers). Deepa Ajit is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Adenosine and Purinergic Signaling (7 papers). Deepa Ajit collaborates with scholars based in United States. Deepa Ajit's co-authors include Gary A. Weisman, Laurie Erb, Jean M. Camden, Michael R. Nichols, Lucas T. Woods, Grace Y. Sun, Troy S. Peterson, Ágnes Simonyi, Jau‐Shyong Hong and W. Gibson Wood and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Biochemistry.

In The Last Decade

Deepa Ajit

22 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Ajit United States 15 391 386 366 272 139 23 1.1k
Yahyah Aman Norway 14 567 1.5× 532 1.4× 295 0.8× 92 0.3× 122 0.9× 35 1.6k
Ihsen Youssef France 15 439 1.1× 526 1.4× 186 0.5× 91 0.3× 200 1.4× 17 1.1k
Chiara De Nuccio Italy 21 518 1.3× 225 0.6× 254 0.7× 142 0.5× 148 1.1× 33 1.0k
Henryk Jęśko Poland 23 735 1.9× 417 1.1× 178 0.5× 138 0.5× 190 1.4× 42 1.4k
Varsha Shukla United States 15 418 1.1× 299 0.8× 125 0.3× 224 0.8× 206 1.5× 31 1.1k
Edoardo Parrella Italy 20 695 1.8× 491 1.3× 242 0.7× 62 0.2× 204 1.5× 35 1.6k
Sarah Mueller-Steiner United States 5 393 1.0× 674 1.7× 197 0.5× 86 0.3× 158 1.1× 6 1.2k
Tony Heurtaux Luxembourg 16 482 1.2× 350 0.9× 675 1.8× 60 0.2× 203 1.5× 30 1.3k
Nathaniel S. Woodling United States 19 551 1.4× 476 1.2× 386 1.1× 53 0.2× 207 1.5× 32 1.4k
Er‐Qing Wei China 24 438 1.1× 225 0.6× 394 1.1× 52 0.2× 203 1.5× 34 1.1k

Countries citing papers authored by Deepa Ajit

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Ajit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Ajit

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

All Works

20 of 20 papers shown
1.
Ajit, Deepa, et al.. (2024). Metabolomic comparison of postprandial distress syndrome patients with and without duodenal eosinophilia. Journal of Pediatric Gastroenterology and Nutrition. 79(5). 991–999. 1 indexed citations
2.
Simon, Jeremy M., Youjun Chen, Ping Wang, et al.. (2023). RNA-binding deficient TDP-43 drives cognitive decline in a mouse model of TDP-43 proteinopathy. eLife. 12. 9 indexed citations
3.
Simon, Jeremy M., Youjun Chen, Ping Wang, et al.. (2023). RNA-binding deficient TDP-43 drives cognitive decline in a mouse model of TDP-43 proteinopathy. eLife. 12. 8 indexed citations
4.
5.
Trzeciakiewicz, Hanna, Deepa Ajit, Jui‐Heng Tseng, et al.. (2020). An HDAC6-dependent surveillance mechanism suppresses tau-mediated neurodegeneration and cognitive decline. Nature Communications. 11(1). 5522–5522. 74 indexed citations
6.
Ajit, Deepa, Hanna Trzeciakiewicz, Jui‐Heng Tseng, et al.. (2019). A unique tau conformation generated by an acetylation-mimic substitution modulates P301S-dependent tau pathology and hyperphosphorylation. Journal of Biological Chemistry. 294(45). 16698–16711. 16 indexed citations
7.
Tseng, Jui‐Heng, Ling Xie, Sheng Song, et al.. (2017). The Deacetylase HDAC6 Mediates Endogenous Neuritic Tau Pathology. Cell Reports. 20(9). 2169–2183. 69 indexed citations
8.
Ajit, Deepa, Ágnes Simonyi, Runting Li, et al.. (2016). Phytochemicals and botanical extracts regulate NF-κB and Nrf2/ARE reporter activities in DI TNC1 astrocytes. Neurochemistry International. 97. 49–56. 38 indexed citations
9.
Woods, Lucas T., Deepa Ajit, Jean M. Camden, Laurie Erb, & Gary A. Weisman. (2015). Purinergic receptors as potential therapeutic targets in Alzheimer's disease. Neuropharmacology. 104. 169–179. 84 indexed citations
10.
Walker, Jennifer M., Deepa Ajit, Gary A. Weisman, et al.. (2015). Beneficial Effects of Dietary EGCG and Voluntary Exercise on Behavior in an Alzheimer's Disease Mouse Model. Journal of Alzheimer s Disease. 44(2). 561–572. 100 indexed citations
11.
Erb, Laurie, Cao Chen, Deepa Ajit, & Gary A. Weisman. (2014). P2Y receptors in Alzheimer's disease. Biology of the Cell. 107(1). 1–21. 37 indexed citations
12.
Ajit, Deepa, Lucas T. Woods, Jean M. Camden, et al.. (2013). Loss of P2Y2 Nucleotide Receptors Enhances Early Pathology in the TgCRND8 Mouse Model of Alzheimer's Disease. Molecular Neurobiology. 49(2). 1031–1042. 51 indexed citations
13.
Kim, Hye Jung, Deepa Ajit, Troy S. Peterson, et al.. (2012). Nucleotides released from Aβ1–42‐treated microglial cells increase cell migration and Aβ1–42 uptake through P2Y2 receptor activation. Journal of Neurochemistry. 121(2). 228–238. 67 indexed citations
14.
Weisman, Gary A., Jean M. Camden, Troy S. Peterson, et al.. (2012). P2 Receptors for Extracellular Nucleotides in the Central Nervous System: Role of P2X7 and P2Y2 Receptor Interactions in Neuroinflammation. Molecular Neurobiology. 46(1). 96–113. 72 indexed citations
15.
Weisman, Gary A., Deepa Ajit, Richard C. Garrad, et al.. (2012). Neuroprotective roles of the P2Y2 receptor. Purinergic Signalling. 8(3). 559–578. 48 indexed citations
16.
Sheng, Wenwen, Yijia Zong, Deepa Ajit, et al.. (2011). Pro-inflammatory cytokines and lipopolysaccharide induce changes in cell morphology, and upregulation of ERK1/2, iNOS and sPLA2-IIA expression in astrocytes and microglia. Journal of Neuroinflammation. 8(1). 121–121. 139 indexed citations
17.
Touchette, Jillienne C., Laura L. Williams, Deepa Ajit, Fabio Gallazzi, & Michael R. Nichols. (2009). Probing the amyloid-β(1–40) fibril environment with substituted tryptophan residues. Archives of Biochemistry and Biophysics. 494(2). 192–197. 13 indexed citations
19.
Ajit, Deepa, et al.. (2008). Oligomeric amyloid-β(1–42) induces THP-1 human monocyte adhesion and maturation. Brain Research. 1254. 109–119. 11 indexed citations
20.
Ajit, Deepa, et al.. (2007). Toll‐like receptors 2 and 4 mediate Aβ(1–42) activation of the innate immune response in a human monocytic cell line. Journal of Neurochemistry. 104(2). 524–533. 153 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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