Jigna Shah

1.3k total citations · 1 hit paper
43 papers, 868 citations indexed

About

Jigna Shah is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jigna Shah has authored 43 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Jigna Shah's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (6 papers) and Nuclear Receptors and Signaling (6 papers). Jigna Shah is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (6 papers) and Nuclear Receptors and Signaling (6 papers). Jigna Shah collaborates with scholars based in India, United States and United Kingdom. Jigna Shah's co-authors include Michelino De Laurentiis, Mark Beresford, Cristina Saura, Sherene Loi, Leisha A. Emens, Francisco J. Esteva, Aruna Mani, Monika Patre, Haiying Liu and Seock‐Ah Im and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Lancet Oncology.

In The Last Decade

Jigna Shah

43 papers receiving 863 citations

Hit Papers

Trastuzumab emtansine plus atezolizumab versus trastuzuma... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jigna Shah India 13 387 274 147 144 118 43 868
Mélanie Di Benedetto France 18 356 0.9× 698 2.5× 86 0.6× 122 0.8× 235 2.0× 33 1.3k
Heng-Yuan Tang United States 19 272 0.7× 560 2.0× 66 0.4× 61 0.4× 170 1.4× 24 1.2k
Tejaswitha Jairaj Naik United States 6 416 1.1× 561 2.0× 52 0.4× 174 1.2× 158 1.3× 6 1.4k
Xinzheng Dai China 18 196 0.5× 407 1.5× 39 0.3× 144 1.0× 196 1.7× 29 877
Katja Wosikowski United States 17 415 1.1× 459 1.7× 84 0.6× 113 0.8× 142 1.2× 30 954
Katarzyna Kulcenty Poland 17 192 0.5× 377 1.4× 87 0.6× 67 0.5× 156 1.3× 48 766
Sreenivas Nannapaneni United States 18 274 0.7× 576 2.1× 56 0.4× 148 1.0× 149 1.3× 37 995
Niels Eckstein Germany 20 284 0.7× 743 2.7× 43 0.3× 74 0.5× 142 1.2× 36 1.3k
Marcella Barbarino Italy 22 252 0.7× 508 1.9× 35 0.2× 152 1.1× 112 0.9× 35 1.0k

Countries citing papers authored by Jigna Shah

Since Specialization
Citations

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

Fields of papers citing papers by Jigna Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jigna Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Jigna Shah. A scholar is included among the top collaborators of Jigna Shah 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 Jigna Shah. Jigna Shah 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.
Lam, Hiu Yan, et al.. (2025). Epigenetic Control of Redox Pathways in Cancer Progression. Antioxidants and Redox Signaling. 42(16-18). 848–867. 3 indexed citations
3.
Patel, Kaushik M., et al.. (2025). The unexplored Nexus: Mitochondria derived microproteins and Parkinson’s disease. Pathology - Research and Practice. 273. 156136–156136. 1 indexed citations
4.
Shah, Jigna, et al.. (2025). Dual GLP-1 and GIP Agonist Tirzepatide Exerted Neuroprotective Action in a Parkinson’s Disease Rat Model. ACS Chemical Neuroscience. 16(5). 818–825. 3 indexed citations
5.
Shah, Jigna, et al.. (2025). Unveiling the significance of synaptic proteins in parkinson's pathogenesis: A review. International Journal of Biological Macromolecules. 304(Pt 1). 140789–140789. 1 indexed citations
6.
Shah, Jigna, et al.. (2024). Antagonists of CD39 and CD73 potentiate doxycycline repositioning to induce a potent antitumor immune response. Cellular Signalling. 125. 111507–111507. 1 indexed citations
7.
Khairnar, Amit, et al.. (2024). Hyperglycemia-Driven Insulin Signaling Defects Promote Parkinson’s Disease-like Pathology in Mice. ACS Pharmacology & Translational Science. 7(12). 4155–4164. 4 indexed citations
8.
Saxena, Bhagawati, Pragnesh Parmar, Pooja Singh, et al.. (2024). Neuroprotective effect of taxifolin against aluminum chloride-induced dementia and pathological alterations in the brain of rats: possible involvement of toll-like receptor 4. Toxicology Mechanisms and Methods. 34(6). 703–716. 5 indexed citations
9.
Mehta, Tejal, et al.. (2024). Quality by design driven development of lipid nanoparticles for cutaneous targeting: a preliminary approach. Drug Delivery and Translational Research. 15(4). 1393–1410. 2 indexed citations
10.
Shah, Jigna, et al.. (2023). Luteolin alleviates renal ischemia-reperfusion injury in streptozotocin induced diabetic rats by inhibiting metalloenzymes expression. SHILAP Revista de lepidopterología. 36(4). 199–206. 1 indexed citations
11.
12.
Mehta, Tejal, et al.. (2023). Localized delivery of Erlotinib using liposomal gel formulations for the treatment of oral squamous cell carcinoma. International Journal of Pharmaceutics. 642. 123144–123144. 14 indexed citations
13.
Shah, Jigna, et al.. (2022). Alzheimer’s disease: a scoping review of biomarker research and development for effective disease diagnosis. Expert Review of Molecular Diagnostics. 22(7). 681–703. 6 indexed citations
14.
15.
Shah, Jigna, et al.. (2022). Restoring Ravaged Heart: Molecular Mechanisms and Clinical Application of miRNA in Heart Regeneration. Frontiers in Cardiovascular Medicine. 9. 835138–835138. 6 indexed citations
16.
Shah, Jigna, et al.. (2021). Protective effects of hesperidin through attenuation of Ki67 expression against DMBA-induced breast cancer in female rats. Life Sciences. 285. 119957–119957. 21 indexed citations
17.
Chen, Yan, et al.. (2020). Global Safety Database Summary of COVID-19-Related Drug Utilization-Safety Surveillance: A Sponsor’s Perspective. Drug Safety. 44(1). 95–105. 10 indexed citations
18.
Emens, Leisha A., Francisco J. Esteva, Mark Beresford, et al.. (2020). Trastuzumab emtansine plus atezolizumab versus trastuzumab emtansine plus placebo in previously treated, HER2-positive advanced breast cancer (KATE2): a phase 2, multicentre, randomised, double-blind trial. The Lancet Oncology. 21(10). 1283–1295. 280 indexed citations breakdown →
19.
Shah, Jigna, et al.. (2017). Role of Vitamin D in Amyloid clearance via LRP-1 upregulation in Alzheimer’s disease: A potential therapeutic target?. Journal of Chemical Neuroanatomy. 85. 36–42. 37 indexed citations
20.
Shah, Jigna, Vijay Mishra, Mohd Cairul Iqbal Mohd Amin, et al.. (2015). Dendrimer-mediated approaches for the treatment of brain tumor. Journal of Biomaterials Science Polymer Edition. 27(7). 557–580. 66 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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