Nivya Kolli

449 total citations
9 papers, 350 citations indexed

About

Nivya Kolli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Molecular Medicine. According to data from OpenAlex, Nivya Kolli has authored 9 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Medicine. Recurrent topics in Nivya Kolli's work include Genetic Neurodegenerative Diseases (4 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Nivya Kolli is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), CRISPR and Genetic Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Nivya Kolli collaborates with scholars based in United States. Nivya Kolli's co-authors include Gary Dunbar, Panchanan Maiti, Julien Rossignol, Abeer Gharaibeh, Ming Lü, Sarah Peruzzaro, Lixin Li, Darren Story, Bhairavi Srinageshwar and Andrew N. Stewart and has published in prestigious journals such as International Journal of Molecular Sciences, Oxidative Medicine and Cellular Longevity and Frontiers in Neuroscience.

In The Last Decade

Nivya Kolli

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nivya Kolli United States 8 197 102 87 56 47 9 350
Zhonghao Li China 10 127 0.6× 35 0.3× 86 1.0× 58 1.0× 23 0.5× 40 362
Luca Capocci Italy 10 208 1.1× 113 1.1× 52 0.6× 13 0.2× 46 1.0× 20 348
Maddalena Grieco Italy 8 105 0.5× 50 0.5× 74 0.9× 10 0.2× 27 0.6× 16 327
Dominika Książek-Winiarek Poland 8 156 0.8× 48 0.5× 58 0.7× 14 0.3× 36 0.8× 15 410
Xiuxiang Wu China 12 188 1.0× 56 0.5× 61 0.7× 11 0.2× 15 0.3× 16 420
Chao‐Jin Xu China 11 135 0.7× 87 0.9× 65 0.7× 13 0.2× 18 0.4× 19 342
Xin Xiang China 5 161 0.8× 67 0.7× 44 0.5× 113 2.0× 68 1.4× 8 422
Akiyoshi Morinaga Japan 11 173 0.9× 76 0.7× 205 2.4× 6 0.1× 106 2.3× 14 454
Salvatore Castaldo Italy 10 259 1.3× 134 1.3× 68 0.8× 15 0.3× 50 1.1× 17 384

Countries citing papers authored by Nivya Kolli

Since Specialization
Citations

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

Fields of papers citing papers by Nivya Kolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nivya Kolli

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

All Works

9 of 9 papers shown
1.
Gharaibeh, Abeer, Nivya Kolli, Lixin Li, et al.. (2021). Liraglutide Has Anti-Inflammatory and Anti-Amyloid Properties in Streptozotocin-Induced and 5xFAD Mouse Models of Alzheimer’s Disease. International Journal of Molecular Sciences. 22(2). 860–860. 57 indexed citations
2.
Gharaibeh, Abeer, Panchanan Maiti, Bhairavi Srinageshwar, et al.. (2020). Solid Lipid Curcumin Particles Protect Medium Spiny Neuronal Morphology, and Reduce Learning and Memory Deficits in the YAC128 Mouse Model of Huntington’s Disease. International Journal of Molecular Sciences. 21(24). 9542–9542. 16 indexed citations
3.
Maiti, Panchanan, Sarah Peruzzaro, Nivya Kolli, et al.. (2019). Transplantation of mesenchymal stem cells overexpressing interleukin‐10 induces autophagy response and promotes neuroprotection in a rat model of TBI. Journal of Cellular and Molecular Medicine. 23(8). 5211–5224. 48 indexed citations
4.
5.
Kolli, Nivya, Ming Lü, Panchanan Maiti, Julien Rossignol, & Gary Dunbar. (2017). CRISPR-Cas9 Mediated Gene-Silencing of the Mutant Huntingtin Gene in an In Vitro Model of Huntington’s Disease. International Journal of Molecular Sciences. 18(4). 754–754. 67 indexed citations
6.
Kolli, Nivya, Ming Lü, Panchanan Maiti, Julien Rossignol, & Gary Dunbar. (2017). Application of the gene editing tool, CRISPR-Cas9, for treating neurodegenerative diseases. Neurochemistry International. 112. 187–196. 28 indexed citations
7.
Gharaibeh, Abeer, Andrew N. Stewart, Bhairavi Srinageshwar, et al.. (2017). Induced Pluripotent Stem Cell-Derived Neural Stem Cell Transplantations Reduced Behavioral Deficits and Ameliorated Neuropathological Changes in YAC128 Mouse Model of Huntington's Disease. Frontiers in Neuroscience. 11. 628–628. 46 indexed citations
8.
Maiti, Panchanan, Abeer Gharaibeh, Nivya Kolli, & Gary Dunbar. (2017). Solid Lipid Curcumin Particles Induce More DNA Fragmentation and Cell Death in Cultured Human Glioblastoma Cells than Does Natural Curcumin. Oxidative Medicine and Cellular Longevity. 2017(1). 9656719–9656719. 22 indexed citations
9.

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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