Divya M. Chari

2.0k total citations
66 papers, 1.6k citations indexed

About

Divya M. Chari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Divya M. Chari has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 21 papers in Surgery. Recurrent topics in Divya M. Chari's work include Tissue Engineering and Regenerative Medicine (20 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and RNA Interference and Gene Delivery (16 papers). Divya M. Chari is often cited by papers focused on Tissue Engineering and Regenerative Medicine (20 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and RNA Interference and Gene Delivery (16 papers). Divya M. Chari collaborates with scholars based in United Kingdom, United States and Japan. Divya M. Chari's co-authors include Mark R. Pickard, W. F. Blakemore, William F. Blakemore, Stuart I. Jenkins, Christopher Adams, A. J. Crang, Humphrey H. P. Yiu, Nicolas Granger, Alinda R. Fernandes and Perrine Barraud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Divya M. Chari

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya M. Chari United Kingdom 23 647 460 435 342 341 66 1.6k
Axel Sandvig Norway 22 390 0.6× 321 0.7× 262 0.6× 687 2.0× 250 0.7× 59 1.6k
Michael J. Cooke Canada 24 881 1.4× 304 0.7× 461 1.1× 580 1.7× 411 1.2× 36 2.1k
Fang Zhang China 28 625 1.0× 250 0.5× 821 1.9× 352 1.0× 496 1.5× 62 2.2k
Vibhu Sahni United States 14 763 1.2× 452 1.0× 171 0.4× 555 1.6× 548 1.6× 16 1.7k
Jiasong Guo China 27 768 1.2× 491 1.1× 400 0.9× 1.1k 3.1× 465 1.4× 71 2.5k
Si–Wei You China 17 530 0.8× 204 0.4× 174 0.4× 386 1.1× 420 1.2× 39 1.3k
Simonetta Papa Italy 20 293 0.5× 166 0.4× 275 0.6× 539 1.6× 379 1.1× 26 1.4k
Dou Yu United States 23 701 1.1× 160 0.3× 277 0.6× 308 0.9× 185 0.5× 53 1.8k
Kelly Sharp United States 6 537 0.8× 423 0.9× 318 0.7× 412 1.2× 136 0.4× 10 1.3k
Qi Gao United States 26 849 1.3× 615 1.3× 305 0.7× 391 1.1× 151 0.4× 121 2.8k

Countries citing papers authored by Divya M. Chari

Since Specialization
Citations

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

Fields of papers citing papers by Divya M. Chari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Divya M. Chari. 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 Divya M. Chari. The network helps show where Divya M. Chari may publish in the future.

Co-authorship network of co-authors of Divya M. Chari

This figure shows the co-authorship network connecting the top 25 collaborators of Divya M. Chari. A scholar is included among the top collaborators of Divya M. Chari 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 Divya M. Chari. Divya M. Chari 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.
Adams, Christopher, et al.. (2025). Electrospun Polycaprolactone (PCL) Nanofibers Induce Elongation and Alignment of Co-Cultured Primary Cortical Astrocytes and Neurons. Micromachines. 16(3). 256–256. 1 indexed citations
2.
Yiu, Humphrey H. P., et al.. (2024). Investigating Internalization of Reporter-Protein-Functionalized Polyhedrin Particles by Brain Immune Cells. Materials. 17(10). 2330–2330. 1 indexed citations
3.
Adams, Christopher, et al.. (2023). Evaluating the Feasibility of Hydrogel-Based Neural Cell Sprays. Journal of Functional Biomaterials. 14(10). 527–527. 1 indexed citations
4.
Chari, Divya M., et al.. (2022). A benchtop brain injury model using resected donor tissue from patients with Chiari malformation. Neural Regeneration Research. 18(5). 1057–1057. 1 indexed citations
5.
Chari, Divya M., et al.. (2021). Enhancing the regenerative potential of stem cell-laden, clinical-grade implants through laminin engineering. Materials Science and Engineering C. 123. 111931–111931. 9 indexed citations
6.
Chari, Divya M., et al.. (2019). Less is more: Investigating the influence of cellular nanoparticle load on transfection outcomes in neural cells. Journal of Tissue Engineering and Regenerative Medicine. 13(9). 1732–1737. 3 indexed citations
7.
Connolly, Joanne B., Christopher Adams, Jon Sen, et al.. (2017). A proteomic investigation into mechanisms underpinning corticosteroid effects on neural stem cells. Molecular and Cellular Neuroscience. 86. 30–40. 10 indexed citations
8.
Jenkins, Stuart I., Alinda R. Fernandes, Humphrey H. P. Yiu, et al.. (2016). ‘Stealth’ nanoparticles evade neural immune cells but also evade major brain cell populations: Implications for PEG-based neurotherapeutics. Journal of Controlled Release. 224. 136–145. 52 indexed citations
9.
Fernandes, Alinda R. & Divya M. Chari. (2016). Part II: Functional delivery of a neurotherapeutic gene to neural stem cells using minicircle DNA and nanoparticles: Translational advantages for regenerative neurology. Journal of Controlled Release. 238. 300–310. 14 indexed citations
10.
11.
Adams, Christopher, et al.. (2014). Increasing magnetite contents of polymeric magnetic particles dramatically improves labeling of neural stem cell transplant populations. Nanomedicine Nanotechnology Biology and Medicine. 11(1). 19–29. 31 indexed citations
12.
Chari, Divya M.. (2014). How do corticosteroids influence myelin genesis in the central nervous system?. Neural Regeneration Research. 9(9). 909–909. 11 indexed citations
13.
Jenkins, Stuart I., et al.. (2013). Identifying the Cellular Targets of Drug Action in the Central Nervous System Following Corticosteroid Therapy. ACS Chemical Neuroscience. 5(1). 51–63. 19 indexed citations
14.
Jenkins, Stuart I., et al.. (2013). Alignment of multiple glial cell populations in 3D nanofiber scaffolds: Toward the development of multicellular implantable scaffolds for repair of neural injury. Nanomedicine Nanotechnology Biology and Medicine. 10(2). 291–295. 34 indexed citations
15.
Pickard, Mark R., et al.. (2010). Magnetic Nanoparticle Labeling of Astrocytes Derived for Neural Transplantation. Tissue Engineering Part C Methods. 17(1). 89–99. 38 indexed citations
16.
Pickard, Mark R., Perrine Barraud, & Divya M. Chari. (2010). The transfection of multipotent neural precursor/stem cell transplant populations with magnetic nanoparticles. Biomaterials. 32(9). 2274–2284. 74 indexed citations
17.
Jeffery, Nick D., et al.. (2008). Uptake of systemically administered magnetic nanoparticles (MNPs) in areas of experimental spinal cord injury (SCI). Journal of Tissue Engineering and Regenerative Medicine. 3(2). 153–157. 24 indexed citations
18.
Blakemore, W. F., Divya M. Chari, Jennifer M. Gilson, & A. J. Crang. (2002). Modelling large areas of demyelination in the rat reveals the potential and possible limitations of transplanted glial cells for remyelination in the CNS. Glia. 38(2). 155–168. 69 indexed citations
19.
Chari, Divya M. & W. F. Blakemore. (2002). New insights into remyelination failure in multiple sclerosis: implications for glial cell transplantation. Multiple Sclerosis Journal. 8(4). 271–277. 48 indexed citations
20.

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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