Kavita Vats

628 total citations
22 papers, 440 citations indexed

About

Kavita Vats is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Kavita Vats has authored 22 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Kavita Vats's work include Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Kavita Vats is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Kavita Vats collaborates with scholars based in India, United States and Pakistan. Kavita Vats's co-authors include Vibha Taneja, Meenakshi Verma, Oleg Kruglov, Yuri L. Bunimovich, Yulia Y. Tyurina, Valerian E. Kagan, Vladimir A. Tyurin, Andrew A. Amoscato, Svetlana N. Samovich and A. Aditya Prasad and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Investigative Dermatology.

In The Last Decade

Kavita Vats

17 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kavita Vats India 9 208 149 84 55 42 22 440
Changyi Ji United States 13 307 1.5× 254 1.7× 40 0.5× 54 1.0× 117 2.8× 23 689
Jennifer S. Waby United Kingdom 10 318 1.5× 68 0.5× 52 0.6× 17 0.3× 39 0.9× 12 500
Shuvadeep Maity India 12 409 2.0× 79 0.5× 29 0.3× 56 1.0× 46 1.1× 21 642
Meenu Madan United States 12 305 1.5× 63 0.4× 35 0.4× 38 0.7× 109 2.6× 16 496
Ala Litman‐Zawadzka Poland 8 155 0.7× 201 1.3× 24 0.3× 9 0.2× 52 1.2× 11 423
Takashi Miyajima Japan 11 117 0.6× 176 1.2× 43 0.5× 17 0.3× 44 1.0× 22 432
Adriana Covarrubias‐Pinto Germany 10 276 1.3× 73 0.5× 43 0.5× 22 0.4× 61 1.5× 17 643
Ulf Soppa Germany 8 394 1.9× 48 0.3× 44 0.5× 18 0.3× 25 0.6× 9 626
Akiko Yano Japan 15 387 1.9× 32 0.2× 50 0.6× 21 0.4× 110 2.6× 39 712
Maura Samarani Italy 11 230 1.1× 143 1.0× 78 0.9× 19 0.3× 40 1.0× 17 382

Countries citing papers authored by Kavita Vats

Since Specialization
Citations

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

Fields of papers citing papers by Kavita Vats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavita Vats

This figure shows the co-authorship network connecting the top 25 collaborators of Kavita Vats. A scholar is included among the top collaborators of Kavita Vats 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 Kavita Vats. Kavita Vats 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.
Zhang, Ping‐Wu, Weifeng Li, Kavita Vats, et al.. (2025). Ibuprofen reduces inflammation, necroptosis and protects photoreceptors from light-induced retinal degeneration. PubMed Central. 22(1). 20–20.
2.
Vats, Kavita, et al.. (2025). Emerging Roles of Ferroptosis in Skin Pathophysiology. Journal of Investigative Dermatology. 145(11). 2701–2718. 1 indexed citations
3.
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5.
Vats, Kavita, Kavita Vats, Mandaville Gourie‐Devi, et al.. (2024). Functional consequences of familial ALS‐associated SOD1 L84F in neuronal and muscle cells. The FASEB Journal. 38(3). e23461–e23461. 1 indexed citations
6.
Avishek, Kumar, Kavita Vats, A. Singh, et al.. (2024). Manufacturing and preclinical toxicity of GLP grade gene deleted attenuated Leishmania donovani parasite vaccine. Scientific Reports. 14(1). 14636–14636. 1 indexed citations
7.
Vats, Kavita, et al.. (2023). Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report. Annals of Indian Academy of Neurology. 26(6). 983–988. 1 indexed citations
8.
Kruglov, Oleg, Kavita Vats, Vladimir A. Tyurin, et al.. (2023). Melanoma-associated repair-like Schwann cells suppress anti-tumor T-cells via 12/15-LOX/COX2-associated eicosanoid production. OncoImmunology. 12(1). 2192098–2192098. 16 indexed citations
9.
Vats, Kavita, R. N. Tandon, Rosa M. Corrales, et al.. (2023). Interaction of novel proteins, centrin4 and protein of centriole in Leishmania parasite and their effects on the parasite growth. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1870(3). 119416–119416. 6 indexed citations
10.
Vats, Kavita, et al.. (2023). 43385 Melanogenesis regulates susceptibility of melanoma cells to ferroptosis. Journal of the American Academy of Dermatology. 89(3). AB63–AB63. 1 indexed citations
11.
Shurin, Galina V., Kavita Vats, Oleg Kruglov, Yuri L. Bunimovich, & Michael R. Shurin. (2022). Tumor-Induced T Cell Polarization by Schwann Cells. Cells. 11(22). 3541–3541. 14 indexed citations
12.
Vats, Kavita, Oleg Kruglov, Galina V. Shurin, et al.. (2022). Sensory Nerves Impede the Formation of Tertiary Lymphoid Structures and Development of Protective Antimelanoma Immune Responses. Cancer Immunology Research. 10(9). 1141–1154. 27 indexed citations
13.
Vats, Kavita, Oleg Kruglov, Svetlana N. Samovich, et al.. (2021). Keratinocyte death by ferroptosis initiates skin inflammation after UVB exposure. Redox Biology. 47. 102143–102143. 98 indexed citations
14.
15.
Sharma, Neeta Raj, et al.. (2018). Identification of prognostic and susceptibility markers in chronic myeloid leukemia using next generation sequencing. Ethiopian Journal of Health Sciences. 28(2). 135–135. 9 indexed citations
16.
Vats, Kavita, et al.. (2018). Expression analysis of protein homeostasis pathways in the peripheral blood mononuclear cells of sporadic amyotrophic lateral sclerosis patients. Journal of the Neurological Sciences. 387. 85–91. 15 indexed citations
17.
Vats, Kavita, Mandaville Gourie‐Devi, Faruq Mohammad, et al.. (2016). Analysis of C9orf72 repeat expansion in amyotrophic lateral sclerosis patients from North India. Journal of the Neurological Sciences. 373. 55–57. 4 indexed citations
18.
Prasad, A. Aditya, Amandeep Girdhar, Meenakshi Verma, et al.. (2016). An acridine derivative, [4,5-bis{(N-carboxy methyl imidazolium)methyl}acridine] dibromide, shows anti-TDP-43 aggregation effect in ALS disease models. Scientific Reports. 6(1). 39490–39490. 43 indexed citations
19.
Vats, Kavita, Mandaville Gourie‐Devi, Meenakshi Verma, et al.. (2015). Identification of L84F mutation with a novel nucleotide change c.255G > T in the superoxide dismutase gene in a North Indian family with amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 17(3-4). 253–259. 11 indexed citations
20.
Taneja, Vibha, Meenakshi Verma, & Kavita Vats. (2014). Toxic species in amyloid disorders: Oligomers or mature fibrils. Annals of Indian Academy of Neurology. 18(2). 138–138. 182 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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