Ishnoor Kaur

1.4k total citations
34 papers, 914 citations indexed

About

Ishnoor Kaur is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Ishnoor Kaur has authored 34 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Physiology and 5 papers in Infectious Diseases. Recurrent topics in Ishnoor Kaur's work include Alzheimer's disease research and treatments (9 papers), Computational Drug Discovery Methods (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Ishnoor Kaur is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Computational Drug Discovery Methods (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Ishnoor Kaur collaborates with scholars based in India, Romania and Saudi Arabia. Ishnoor Kaur's co-authors include Tapan Behl, Simona Bungău, Aayush Sehgal, Arun Kumar, Sukhbir Singh, Saurabh Bhatia, Neelam Sharma, Lotfi Aleya, Ahmed Al‐Harrasi and Sandeep Arora and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

Ishnoor Kaur

34 papers receiving 902 citations

Peers

Ishnoor Kaur

PHYSI

PHARM

NEURO

Ye Yuan China

Shiek S. S. J. Ahmed India

Tawar Qaradakhi Australia

Azizah Ugusman Malaysia

Weiwei Li China

Tingting Chen China

Huaping Zhang China

Mohammad‐Reza Mahmoudian‐Sani Iran

Yi-Fang Li China

Dhivya Venkatesan India

Ye Yuan China

Ishnoor Kaur

353 ×1.6

59 ×0.5

PHYSI

117 ×1.0

44 ×0.5

PHARM

87 ×1.1

NEURO

Citations per year, relative to Ishnoor Kaur Ishnoor Kaur (= 1×) peers Ye Yuan

Countries citing papers authored by Ishnoor Kaur

Since Specialization

Citations

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

Fields of papers citing papers by Ishnoor Kaur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishnoor Kaur

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

All Works

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20 of 20 papers shown

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2024). The link between Alzheimer’s disease and stroke: A detrimental synergism. Ageing Research Reviews. 99. 102388–102388. 10 indexed citations

Goyal, Ahsas, Nemat Ali, Muzaffar Iqbal, et al.. (2023). Chrysin restores the cardioprotective effect of ischemic preconditioning in diabetes-challenged rat heart. Heliyon. 9(11). e22052–e22052. 2 indexed citations

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2022). “Cutting the Mustard” with Induced Pluripotent Stem Cells: An Overview and Applications in Healthcare Paradigm. Stem Cell Reviews and Reports. 18(8). 2757–2780. 5 indexed citations

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2022). The Locus Coeruleus – Noradrenaline system: Looking into Alzheimer’s therapeutics with rose coloured glasses. Biomedicine & Pharmacotherapy. 151. 113179–113179. 7 indexed citations

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2022). AChE as a spark in the Alzheimer’s blaze – Antagonizing effect of a cyclized variant. Ageing Research Reviews. 83. 101787–101787. 17 indexed citations

Kaur, Ishnoor, Tapan Behl, Aayush Sehgal, et al.. (2022). A motley of possible therapies of the COVID-19: reminiscing the origin of the pandemic. Environmental Science and Pollution Research. 29(45). 67685–67703. 7 indexed citations

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2022). “Aducanumab” making a comeback in Alzheimer’s disease: An old wine in a new bottle. Biomedicine & Pharmacotherapy. 148. 112746–112746. 37 indexed citations

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2022). The road to precision medicine: Eliminating the “One Size Fits All” approach in Alzheimer’s disease. Biomedicine & Pharmacotherapy. 153. 113337–113337. 38 indexed citations

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2022). There is nothing exempt from the peril of mutation – The Omicron spike. Biomedicine & Pharmacotherapy. 148. 112756–112756. 10 indexed citations

10.

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2021). Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry. International Journal of Molecular Sciences. 22(12). 6184–6184. 37 indexed citations

11.

Behl, Tapan, Eshita Sharma, Aayush Sehgal, et al.. (2021). Expatiating the molecular approaches of HMGB1 in diabetes mellitus: Highlighting signalling pathways via RAGE and TLRs. Molecular Biology Reports. 48(2). 1869–1881. 46 indexed citations

12.

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2021). Unfolding Nrf2 in diabetes mellitus. Molecular Biology Reports. 48(1). 927–939. 30 indexed citations

13.

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2021). The dichotomy of nanotechnology as the cutting edge of agriculture: Nano-farming as an asset versus nanotoxicity. Chemosphere. 288(Pt 2). 132533–132533. 75 indexed citations

14.

Kaur, Ishnoor, Tapan Behl, Lotfi Aleya, et al.. (2021). Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic. Environmental Science and Pollution Research. 28(30). 40515–40532. 25 indexed citations

15.

Sehgal, Aayush, Tapan Behl, Ishnoor Kaur, et al.. (2021). Targeting NLRP3 inflammasome as a chief instigator of obesity, contributing to local adipose tissue inflammation and insulin resistance. Environmental Science and Pollution Research. 28(32). 43102–43113. 14 indexed citations

16.

Kaur, Ishnoor, Tapan Behl, Lotfi Aleya, et al.. (2021). Role of metallic pollutants in neurodegeneration: effects of aluminum, lead, mercury, and arsenic in mediating brain impairment events and autism spectrum disorder. Environmental Science and Pollution Research. 28(8). 8989–9001. 52 indexed citations

17.

Kaur, Ishnoor, Arun Kumar, Tapan Behl, & Dhruv Setia. (2021). Recent Advances in Nanotechnology-Based Drug Delivery Approaches for Alzheimer disease. Current Drug Targets. 22(12). 1404–1423. 5 indexed citations

18.

Behl, Tapan, Ishnoor Kaur, Aayush Sehgal, et al.. (2020). The Interplay of ABC Transporters in Aβ Translocation and Cholesterol Metabolism: Implicating Their Roles in Alzheimer’s Disease. Molecular Neurobiology. 58(4). 1564–1582. 58 indexed citations

19.

Behl, Tapan, Ishnoor Kaur, Simona Bungău, et al.. (2020). The dual impact of ACE2 in COVID-19 and ironical actions in geriatrics and pediatrics with possible therapeutic solutions. Life Sciences. 257. 118075–118075. 79 indexed citations

20.

Kumar, Arun, et al.. (2020). Exploring the molecular approach of COX and LOX in Alzheimer’s and Parkinson’s disorder. Molecular Biology Reports. 47(12). 9895–9912. 35 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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