Gurjot Kaur

1.2k total citations
25 papers, 785 citations indexed

About

Gurjot Kaur is a scholar working on Molecular Biology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gurjot Kaur has authored 25 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gurjot Kaur's work include Ion channel regulation and function (4 papers), COVID-19 Clinical Research Studies (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Gurjot Kaur is often cited by papers focused on Ion channel regulation and function (4 papers), COVID-19 Clinical Research Studies (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Gurjot Kaur collaborates with scholars based in India, United States and Germany. Gurjot Kaur's co-authors include Thivanka Muthumalage, Irfan Rahman, Jörg Striessnig, Ipsita Roy, Alexandra Pinggera, Petronel Tuluc, Richard E. Frye, Daniel A. Rossignol, Surya Singh and Ajay Kumar Sharma and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Comparative Neurology.

In The Last Decade

Gurjot Kaur

22 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gurjot Kaur India 12 342 131 119 116 97 25 785
José Salas-Pacheco Mexico 18 275 0.8× 74 0.6× 72 0.6× 86 0.7× 42 0.4× 79 1.0k
Yiqing Wang China 19 443 1.3× 177 1.4× 199 1.7× 49 0.4× 34 0.4× 100 1.1k
Alistair V.W. Nunn United Kingdom 17 440 1.3× 216 1.6× 172 1.4× 77 0.7× 49 0.5× 34 1.5k
Xun Wang China 19 472 1.4× 360 2.7× 133 1.1× 189 1.6× 26 0.3× 51 1.3k
Provvidenza Maria Abruzzo Italy 20 444 1.3× 87 0.7× 178 1.5× 175 1.5× 23 0.2× 43 977
Genaro Barrientos Chile 20 516 1.5× 131 1.0× 221 1.9× 15 0.1× 156 1.6× 31 950
Guixin Zhang China 20 455 1.3× 60 0.5× 178 1.5× 71 0.6× 46 0.5× 62 1.3k
Di Mu China 17 215 0.6× 178 1.4× 219 1.8× 98 0.8× 23 0.2× 25 963
Saroj Kumar Das India 17 264 0.8× 57 0.4× 67 0.6× 28 0.2× 39 0.4× 49 825
Poonam Rana India 18 251 0.7× 66 0.5× 85 0.7× 92 0.8× 17 0.2× 50 763

Countries citing papers authored by Gurjot Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Gurjot Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurjot Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Gurjot Kaur. A scholar is included among the top collaborators of Gurjot 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 Gurjot Kaur. Gurjot 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.
Sidhu, Jagpreet, Kuldeep Singh, Gurjot Kaur, & Debasis Das. (2025). Recent advancements in parallel and tandem reaction-based fluorogenic probes for tracing enzymatic activities. TrAC Trends in Analytical Chemistry. 192. 118396–118396.
3.
Dev, Kamal, et al.. (2024). Phytoconstituents as modulator of inflammatory pathways for COVID‐19: A comprehensive review and recommendations. Phytotherapy Research. 38(11). 5389–5416. 1 indexed citations
4.
Kumar, Ashutosh, Adil Asghar, Khursheed Raza, et al.. (2024). Shift in Demographic Involvement and Clinical Characteristics of COVID-19 From Wild-Type SARS-CoV-2 to the Delta Variant in the Indian Population: In Silico Analysis. SHILAP Revista de lepidopterología. 13. e44492–e44492.
5.
Sharma, Deepika, et al.. (2022). Scientometric analysis and identification of research trends in microplastic research for 2011–2019. Environmental Science and Pollution Research. 29(56). 84312–84324. 5 indexed citations
6.
Singh, Surya, et al.. (2022). Sorption of pharmaceuticals over microplastics’ surfaces: interaction mechanisms and governing factors. Environmental Monitoring and Assessment. 194(11). 803–803. 55 indexed citations
7.
Kumar, Ashutosh, Ravi Kant Narayan, Pranav Prasoon, et al.. (2021). COVID-19 Mechanisms in the Human Body—What We Know So Far. Frontiers in Immunology. 12. 693938–693938. 46 indexed citations
8.
Mukherjee, Soham, et al.. (2021). Flavan-based phytoconstituents inhibit Mpro, a SARS-COV-2 molecular target,in silico. Journal of Biomolecular Structure and Dynamics. 40(22). 11545–11559. 5 indexed citations
9.
Kaur, Gurjot, et al.. (2020). Current Perspectives on Characteristics, Compositions, and Toxicological Effects of E-Cigarettes Containing Tobacco and Menthol/Mint Flavors. Frontiers in Physiology. 11. 613948–613948. 26 indexed citations
10.
Sharma, Ajay Kumar & Gurjot Kaur. (2020). Scientometric analysis: identification of research trends for ozone as an air pollutant for 2011–2019. Environmental Science and Pollution Research. 27(31). 38568–38579. 5 indexed citations
11.
Kaur, Gurjot, et al.. (2019). Human MRP2 exports MC-LR but not the glutathione conjugate. Chemico-Biological Interactions. 311. 108761–108761. 7 indexed citations
12.
Frye, Richard E., et al.. (2019). Emerging biomarkers in autism spectrum disorder: a systematic review. Annals of Translational Medicine. 7(23). 792–792. 118 indexed citations
13.
Kaur, Gurjot, Thivanka Muthumalage, & Irfan Rahman. (2018). Mechanisms of toxicity and biomarkers of flavoring and flavor enhancing chemicals in emerging tobacco and non-tobacco products. Toxicology Letters. 288. 143–155. 121 indexed citations
14.
Bodrikov, Vsevolod, Cornelia U. Welte, Marianne Wiechers, et al.. (2017). Substrate properties of zebrafish Rtn4b/Nogo and axon regeneration in the zebrafish optic nerve. The Journal of Comparative Neurology. 525(14). 2991–3009. 7 indexed citations
15.
Kaur, Gurjot, et al.. (2017). Topical Nanoemulgel: A Novel Pathway for Investigating Alopecia. Journal of Nanomedicine & Nanotechnology. 8(6). 11 indexed citations
16.
Kaur, Gurjot, Alexandra Pinggera, Nadine J. Ortner, et al.. (2015). A Polybasic Plasma Membrane Binding Motif in the I-II Linker Stabilizes Voltage-gated CaV1.2 Calcium Channel Function. Journal of Biological Chemistry. 290(34). 21086–21100. 23 indexed citations
17.
Scharinger, Anja, Stephanie Kuhn, David Vandael, et al.. (2015). Cell-type-specific tuning of Cav1.3 Ca2+-channels by a C-terminal automodulatory domain. Frontiers in Cellular Neuroscience. 9. 309–309. 41 indexed citations
18.
Striessnig, Jörg, et al.. (2014). L‐type Ca2+ channels in heart and brain. PubMed. 3(2). 15–38. 168 indexed citations
19.
Gebhart, Mathias, Annalisa Zuccotti, Niels Brandt, et al.. (2010). Modulation of Cav1.3 Ca2+ channel gating by Rab3 interacting molecule. Molecular and Cellular Neuroscience. 44(3). 246–259. 41 indexed citations
20.
Kaur, Gurjot & Ipsita Roy. (2007). Therapeutic applications of aptamers. Expert Opinion on Investigational Drugs. 17(1). 43–60. 72 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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