Gurcharan Kaur

4.3k total citations
124 papers, 3.3k citations indexed

About

Gurcharan Kaur is a scholar working on Cellular and Molecular Neuroscience, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Gurcharan Kaur has authored 124 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 28 papers in Complementary and alternative medicine and 27 papers in Molecular Biology. Recurrent topics in Gurcharan Kaur's work include Phytochemicals and Medicinal Plants (26 papers), Medicinal Plants and Neuroprotection (22 papers) and Neuroscience and Neuropharmacology Research (18 papers). Gurcharan Kaur is often cited by papers focused on Phytochemicals and Medicinal Plants (26 papers), Medicinal Plants and Neuroprotection (22 papers) and Neuroscience and Neuropharmacology Research (18 papers). Gurcharan Kaur collaborates with scholars based in India, United States and Russia. Gurcharan Kaur's co-authors include Hardeep Kataria, Taranjeet Kaur, Anuradha Sharma, Shaffi Manchanda, Sandeep Sharma, Muskan Gupta, Vandana Bhalla, Sushil Kumar, Shahi Imam Reja and Sukhprit Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Gurcharan Kaur

121 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gurcharan Kaur India 34 796 751 663 371 364 124 3.3k
Seok‐Yong Lee South Korea 39 1.9k 2.4× 447 0.6× 543 0.8× 517 1.4× 180 0.5× 230 5.8k
Zaijun Zhang China 35 1.6k 2.0× 694 0.9× 709 1.1× 187 0.5× 99 0.3× 151 4.0k
Alejandro Romero Spain 37 1.4k 1.7× 220 0.3× 541 0.8× 773 2.1× 70 0.2× 115 4.3k
С. О. Бачурин Russia 35 1.5k 1.9× 210 0.3× 1.1k 1.7× 1.2k 3.3× 91 0.3× 220 4.2k
Akitane Mori Japan 35 1.8k 2.2× 452 0.6× 1.1k 1.6× 421 1.1× 74 0.2× 181 6.0k
Mary Chebib Australia 41 2.4k 3.1× 574 0.8× 432 0.7× 653 1.8× 201 0.6× 146 5.0k
E. Sofić Bosnia and Herzegovina 30 2.2k 2.7× 536 0.7× 972 1.5× 859 2.3× 99 0.3× 93 8.7k
Shiro Urano Japan 37 1.3k 1.6× 185 0.2× 621 0.9× 924 2.5× 95 0.3× 100 3.8k
Mario Baraldi Italy 32 1.4k 1.7× 240 0.3× 421 0.6× 394 1.1× 135 0.4× 117 4.4k
Amanpreet Singh India 33 890 1.1× 226 0.3× 173 0.3× 262 0.7× 749 2.1× 125 3.1k

Countries citing papers authored by Gurcharan Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Gurcharan Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurcharan Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Gurcharan Kaur. A scholar is included among the top collaborators of Gurcharan Kaur 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 Gurcharan Kaur. Gurcharan Kaur 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.
Kaur, Gurcharan, et al.. (2025). The Association of Eating Behaviours, and Self‐Concept, With Weight Status of Indian Adolescents. Pediatric Obesity. 20(10). e70044–e70044.
2.
Kaur, Gurcharan & Suresh I. S. Rattan. (2024). Brain and Mental Health in Ageing. 5 indexed citations
3.
Sunkaria, Aditya, et al.. (2022). Dietary Supplementation With Tinospora cordifolia Improves Anxiety-Type Behavior and Cognitive Impairments in Middle-Aged Acyclic Female Rats. Frontiers in Aging Neuroscience. 14. 944144–944144. 4 indexed citations
4.
Singh, Harpal, et al.. (2022). Aging-related changes in metabolic indicators in female rats and their management with Tinospora cordifolia. Biogerontology. 23(3). 363–380. 5 indexed citations
5.
Singh, Harpal, et al.. (2020). Tinospora cordifolia ameliorates brain functions impairments associated with high fat diet induced obesity. Neurochemistry International. 143. 104937–104937. 16 indexed citations
6.
Sharma, Anuradha, et al.. (2020). From ayurvedic folk medicine to preclinical neurotherapeutic role of a miraculous herb, Tinospora cordifolia. Neurochemistry International. 141. 104891–104891. 17 indexed citations
7.
Kaur, Gurcharan, et al.. (2020). PSA mimetic 5-nonyloxytryptamine protects cerebellar neurons against glutamate induced excitotoxicity: An in vitro perspective. NeuroToxicology. 82. 69–81. 2 indexed citations
8.
Sharma, Anuradha & Gurcharan Kaur. (2018). Tinospora cordifolia as a potential neuroregenerative candidate against glutamate induced excitotoxicity: an in vitro perspective. BMC Complementary and Alternative Medicine. 18(1). 268–268. 47 indexed citations
9.
Gupta, Muskan & Gurcharan Kaur. (2018). Withania somnifera as a Potential Anxiolytic and Anti-inflammatory Candidate Against Systemic Lipopolysaccharide-Induced Neuroinflammation. NeuroMolecular Medicine. 20(3). 343–362. 38 indexed citations
10.
Kaur, Taranjeet & Gurcharan Kaur. (2017). Withania somnifera as a potential candidate to ameliorate high fat diet-induced anxiety and neuroinflammation. Journal of Neuroinflammation. 14(1). 201–201. 35 indexed citations
11.
Kataria, Hardeep, Sushil Kumar, Harshita Chaudhary, & Gurcharan Kaur. (2015). Withania somnifera Suppresses Tumor Growth of Intracranial Allograft of Glioma Cells. Molecular Neurobiology. 53(6). 4143–4158. 33 indexed citations
12.
Singh, Varinder, Gurpreet Kaur, Hardeep Kataria, et al.. (2015). Biotechnological interventions inWithania somnifera(L.) Dunal. Biotechnology and Genetic Engineering Reviews. 31(1-2). 1–20. 36 indexed citations
13.
14.
Kataria, Hardeep, Renu Wadhwa, Sunil C. Kaul, & Gurcharan Kaur. (2012). Water Extract from the Leaves of Withania somnifera Protect RA Differentiated C6 and IMR-32 Cells against Glutamate-Induced Excitotoxicity. PLoS ONE. 7(5). e37080–e37080. 62 indexed citations
15.
16.
Singh, Jaspreet & Gurcharan Kaur. (2005). Neuroprotection mediated by subtoxic dose of NMDA in SH-SY5Y neuroblastoma cultures: Activity-dependent regulation of PSA-NCAM expression. Molecular Brain Research. 137(1-2). 223–234. 13 indexed citations
17.
Sharma, Poonam, et al.. (2000). Opioid regulation of gonadotropin release: role of signal transduction cascade. Brain Research Bulletin. 52(2). 135–142. 3 indexed citations
18.
Kaur, Gurcharan & Sanjeev K. Bhardwaj. (1998). The impact of diabetes on CNS. Molecular and Chemical Neuropathology. 35(1-3). 119–131. 16 indexed citations
19.
Kaur, Gurcharan, Poonam Sharma, Sanjeev K. Bhardwaj, & Gurjinder Kaur. (1997). GABA agonists and neurotransmitters metabolizing enzymes in steroid-primed OVX rats. Molecular and Cellular Biochemistry. 167(1-2). 107–111. 10 indexed citations
20.
Lakhman, Sukhwinder S. & Gurcharan Kaur. (1997). Effect of experimental diabetes on monoamine oxidase activity from discrete areas of rat brain: Relationship with diabetes associated reproductive failure. Molecular and Cellular Biochemistry. 177(1-2). 15–20. 14 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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