Gillipsie Minhas

662 total citations
19 papers, 480 citations indexed

About

Gillipsie Minhas is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Gillipsie Minhas has authored 19 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Genetics. Recurrent topics in Gillipsie Minhas's work include Neurological Disease Mechanisms and Treatments (4 papers), Mesenchymal stem cell research (4 papers) and Mosquito-borne diseases and control (2 papers). Gillipsie Minhas is often cited by papers focused on Neurological Disease Mechanisms and Treatments (4 papers), Mesenchymal stem cell research (4 papers) and Mosquito-borne diseases and control (2 papers). Gillipsie Minhas collaborates with scholars based in India, United States and Japan. Gillipsie Minhas's co-authors include Nooruddin Khan, Jyoti Sharma, Akshay Anand, Surya Prakash Singh, Rohit Srivastava, Aravind Kumar Rengan, Tejaswini Appidi, Deepak B. Pemmaraju, Sumbul Afroz and Sanchita Ghosh and has published in prestigious journals such as Nanoscale, Frontiers in Immunology and Journal of Cellular Physiology.

In The Last Decade

Gillipsie Minhas

19 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gillipsie Minhas India 12 188 83 81 69 63 19 480
Xujiao Zhou China 16 395 2.1× 190 2.3× 87 1.1× 64 0.9× 37 0.6× 57 848
Stella Amarachi Ihim Nigeria 9 147 0.8× 38 0.5× 50 0.6× 25 0.4× 77 1.2× 16 548
Dina Fathalla Egypt 18 205 1.1× 122 1.5× 58 0.7× 64 0.9× 146 2.3× 31 1.0k
Francesca Rinaldi Italy 15 283 1.5× 44 0.5× 137 1.7× 56 0.8× 57 0.9× 45 803
Shuang Zhu China 9 98 0.5× 47 0.6× 46 0.6× 32 0.5× 33 0.5× 15 354
Sonia Guha United States 11 215 1.1× 126 1.5× 25 0.3× 31 0.4× 25 0.4× 21 483
Zhen Liang China 16 239 1.3× 23 0.3× 110 1.4× 102 1.5× 40 0.6× 74 845
Stefan Kustermann Switzerland 12 403 2.1× 79 1.0× 318 3.9× 44 0.6× 21 0.3× 22 732
Serhii Vakal Finland 11 121 0.6× 52 0.6× 36 0.4× 24 0.3× 43 0.7× 26 355

Countries citing papers authored by Gillipsie Minhas

Since Specialization
Citations

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

Fields of papers citing papers by Gillipsie Minhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gillipsie Minhas

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

All Works

19 of 19 papers shown
1.
Afroz, Sumbul, et al.. (2022). Immunogenic profiling of Mycobacterium tuberculosis DosR protein Rv0569 reveals its ability to switch on Th1 based immunity. Immunology Letters. 242. 27–36. 4 indexed citations
2.
Kumar, Saurabh, Shweta Modgil, Sridhar Bammidi, et al.. (2020). Allium cepa exerts neuroprotective effect on retinal ganglion cells of pterygopalatine artery (PPA) ligated mice. Journal of Ayurveda and Integrative Medicine. 11(4). 489–494. 15 indexed citations
3.
Afroz, Sumbul, et al.. (2019). Dengue virus envelope protein domain III induces pro-inflammatory signature and triggers activation of inflammasome. Cytokine. 123. 154780–154780. 21 indexed citations
4.
Afroz, Sumbul, Shaikh B. Matin, Gillipsie Minhas, et al.. (2019). Amino acid starvation enhances vaccine efficacy by augmenting neutralizing antibody production. Science Signaling. 12(607). 8 indexed citations
5.
Alvi, Syed Baseeruddin, Tejaswini Appidi, Deepak B. Pemmaraju, et al.. (2019). The “nano to micro” transition of hydrophobic curcumin crystals leading to in situ adjuvant depots for Au-liposome nanoparticle mediated enhanced photothermal therapy. Biomaterials Science. 7(9). 3866–3875. 41 indexed citations
6.
John, Rakesh, et al.. (2019). Association of ACL tears and single nucleotide polymorphisms in the collagen 12 A1 gene in the Indian population - a preliminary case-control study. Muscles Ligaments and Tendons Journal. 6(2). 253–253. 4 indexed citations
7.
Sharma, Neel, et al.. (2018). Role of Ionizing Radiation in Neurodegenerative Diseases. Frontiers in Aging Neuroscience. 10. 134–134. 49 indexed citations
8.
Minhas, Gillipsie, et al.. (2017). Hypoxia in CNS Pathologies: Emerging Role of miRNA-Based Neurotherapeutics and Yoga Based Alternative Therapies. Frontiers in Neuroscience. 11. 386–386. 16 indexed citations
9.
Minhas, Gillipsie, et al.. (2017). Amino Acid Sensing via General Control Nonderepressible-2 Kinase and Immunological Programming. Frontiers in Immunology. 8. 1719–1719. 49 indexed citations
10.
Pemmaraju, Deepak B., Tejaswini Appidi, Gillipsie Minhas, et al.. (2017). Chlorophyll rich biomolecular fraction of A. cadamba loaded into polymeric nanosystem coupled with Photothermal Therapy: A synergistic approach for cancer theranostics. International Journal of Biological Macromolecules. 110. 383–391. 47 indexed citations
11.
Minhas, Gillipsie, et al.. (2017). Transplantation of lineage-negative stem cells in pterygopalatine artery ligation induced retinal ischemia–reperfusion injury in mice. Molecular and Cellular Biochemistry. 429(1-2). 123–136. 6 indexed citations
12.
Afroz, Sumbul, et al.. (2017). Mesoporous ZnO nanocapsules for the induction of enhanced antigen-specific immunological responses. Nanoscale. 9(38). 14641–14653. 32 indexed citations
13.
Minhas, Gillipsie, Jyoti Sharma, & Nooruddin Khan. (2016). Cellular Stress Response and Immune Signaling in Retinal Ischemia–Reperfusion Injury. Frontiers in Immunology. 7. 444–444. 90 indexed citations
14.
Minhas, Gillipsie, et al.. (2015). Modeling transient retinal ischemia in mouse by ligation of pterygopalatine artery. Annals of Neurosciences. 22(4). 8 indexed citations
15.
Minhas, Gillipsie, et al.. (2014). Characterization of Lin-ve CD34 and CD117 Cell Population Reveals an Increased Expression in Bone Marrow Derived Stem Cells. Current Neurovascular Research. 11(1). 68–74. 7 indexed citations
16.
Minhas, Gillipsie, Shweta Modgil, & Akshay Anand. (2014). Role of iron in ischemia-induced neurodegeneration: mechanisms and insights. Metabolic Brain Disease. 29(3). 583–591. 13 indexed citations
17.
Minhas, Gillipsie. (2012). Preclinical models to investigate retinal ischemia: advances and drawbacks. Frontiers in Neurology. 3. 75–75. 48 indexed citations
18.
Minhas, Gillipsie. (2011). The neuroprotective effect of bone marrow stem cells is not dependent on direct cell contact with hypoxic injured tissue. Annals of Neurosciences. 18(1). 1 indexed citations
19.
Minhas, Gillipsie, et al.. (2011). Pathophysiology of stroke and stroke‐induced retinal ischemia: Emerging role of stem cells. Journal of Cellular Physiology. 227(3). 1269–1279. 21 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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