Ram Kuwar

467 total citations
9 papers, 387 citations indexed

About

Ram Kuwar is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ram Kuwar has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ram Kuwar's work include Mosquito-borne diseases and control (2 papers), Cell Adhesion Molecules Research (2 papers) and S100 Proteins and Annexins (2 papers). Ram Kuwar is often cited by papers focused on Mosquito-borne diseases and control (2 papers), Cell Adhesion Molecules Research (2 papers) and S100 Proteins and Annexins (2 papers). Ram Kuwar collaborates with scholars based in United States and China. Ram Kuwar's co-authors include Dong Sun, Shijun Zhang, Andrew Rolfe, He Liu, Yuqi Jiang, Hongyu Xu, P. M. Abdul‐Muneer, Debanjan Haldar, A. Arturo Leis and P. J. S. Vig and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Behavior and Immunity and Journal of the Neurological Sciences.

In The Last Decade

Ram Kuwar

9 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ram Kuwar United States 6 229 92 73 53 49 9 387
Haiqiang Zou China 12 117 0.5× 108 1.2× 69 0.9× 39 0.7× 32 0.7× 25 364
Verónica Sobrino Spain 9 118 0.5× 75 0.8× 78 1.1× 20 0.4× 38 0.8× 17 392
Xiaodong Hua United States 7 156 0.7× 142 1.5× 48 0.7× 102 1.9× 40 0.8× 9 398
Katrin Pape Germany 8 112 0.5× 112 1.2× 102 1.4× 82 1.5× 169 3.4× 18 619
Sara Mancinelli Italy 8 150 0.7× 108 1.2× 20 0.3× 77 1.5× 68 1.4× 11 386
Elmira Agah Iran 11 100 0.4× 45 0.5× 99 1.4× 26 0.5× 51 1.0× 23 440
Silvia Honda Takada Brazil 12 178 0.8× 49 0.5× 27 0.4× 19 0.4× 44 0.9× 25 433
María Inés Herrera Argentina 10 84 0.4× 106 1.2× 57 0.8× 114 2.2× 36 0.7× 23 487
Daniel P. Nemeth United States 9 84 0.4× 210 2.3× 51 0.7× 94 1.8× 108 2.2× 22 468

Countries citing papers authored by Ram Kuwar

Since Specialization
Citations

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

Fields of papers citing papers by Ram Kuwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Kuwar

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Kuwar. A scholar is included among the top collaborators of Ram Kuwar 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 Ram Kuwar. Ram Kuwar 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.
Kuwar, Ram, Ning Zhang, A. Rory McQuiston, Xuejun Wen, & Dong Sun. (2024). Generation of induced pluripotent stem cells from rat fibroblasts and optimization of its differentiation into mature functional neurons. Journal of Neuroscience Methods. 406. 110114–110114. 1 indexed citations
2.
Sun, Dong, Ram Kuwar, Xuejun Wen, & Ning Zhang. (2022). Integrin binding peptides facilitate growth and interconnected vascular-like network formation of rat primary cortical vascular endothelial cells in vitro. Neural Regeneration Research. 18(5). 1052–1052. 5 indexed citations
3.
Xue, Bo, Xuejun Wen, Ram Kuwar, Dong Sun, & Ning Zhang. (2022). Age-dependent viscoelastic characterization of rat brain cortex. SHILAP Revista de lepidopterología. 3. 100056–100056. 5 indexed citations
4.
Kuwar, Ram, Andrew Rolfe, Hallie Blevins, et al.. (2021). A Novel Inhibitor Targeting NLRP3 Inflammasome Reduces Neuropathology and Improves Cognitive Function in Alzheimer’s Disease Transgenic Mice. Journal of Alzheimer s Disease. 82(4). 1769–1783. 62 indexed citations
5.
Kuwar, Ram, Xuejun Wen, Ning Zhang, & Dong Sun. (2020). An integrin-binding array platform identifies αvβ8 and α5β1 integrins on rat primary cortical neurons to support their survival and growth. Journal of Neuroscience Methods. 339. 108729–108729. 5 indexed citations
6.
Kuwar, Ram, Andrew Rolfe, Hongyu Xu, et al.. (2019). A novel small molecular NLRP3 inflammasome inhibitor alleviates neuroinflammatory response following traumatic brain injury. Journal of Neuroinflammation. 16(1). 165 indexed citations
7.
Vig, P. J. S., Deyin Lu, Amber M. Paul, et al.. (2018). Differential Expression of Genes Related to Innate Immune Responses in Ex Vivo Spinal Cord and Cerebellar Slice Cultures Infected with West Nile Virus. Brain Sciences. 9(1). 1–1. 59 indexed citations
8.
Kuwar, Ram, et al.. (2017). Transforming growth factor-beta 1 signaling regulates neuroinflammation and apoptosis in mild traumatic brain injury. Brain Behavior and Immunity. 64. 244–258. 72 indexed citations
9.
Kuwar, Ram, Dobrivoje S. Stokić, A. Arturo Leis, et al.. (2015). Does astroglial protein S100B contribute to West Nile neuro-invasive syndrome?. Journal of the Neurological Sciences. 358(1-2). 243–252. 13 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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