Harprit Singh

886 total citations
35 papers, 641 citations indexed

About

Harprit Singh is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biochemistry. According to data from OpenAlex, Harprit Singh has authored 35 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Biochemistry. Recurrent topics in Harprit Singh's work include Angiogenesis and VEGF in Cancer (12 papers), Phytochemicals and Antioxidant Activities (5 papers) and Lipid metabolism and disorders (5 papers). Harprit Singh is often cited by papers focused on Angiogenesis and VEGF in Cancer (12 papers), Phytochemicals and Antioxidant Activities (5 papers) and Lipid metabolism and disorders (5 papers). Harprit Singh collaborates with scholars based in United Kingdom, Canada and India. Harprit Singh's co-authors include Nicholas P.J. Brindle, Tariq A. Tahir, Tania M. Hansen, Nisha R. Patel, Mariasole Da Boit, Gou Young Koh, Marie B. Marron, Rajendra Chaudhary, Victor A. Zammit and Montserrat Aguilar-Hernández and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Harprit Singh

33 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harprit Singh United Kingdom 15 320 115 99 78 73 35 641
Stefan Seibold Germany 13 252 0.8× 103 0.9× 42 0.4× 93 1.2× 52 0.7× 17 632
Yukiko Nakata Japan 15 224 0.7× 196 1.7× 95 1.0× 37 0.5× 95 1.3× 29 911
Amanda J. Unsworth United Kingdom 17 264 0.8× 175 1.5× 132 1.3× 45 0.6× 81 1.1× 43 884
Michelle Marchese United States 8 174 0.5× 45 0.4× 34 0.3× 42 0.5× 44 0.6× 10 586
Simona D’Amore Italy 16 266 0.8× 74 0.6× 113 1.1× 110 1.4× 149 2.0× 56 752
Yuji Aoki Japan 17 359 1.1× 82 0.7× 70 0.7× 72 0.9× 147 2.0× 57 909
Lisann Pelzl Germany 17 281 0.9× 67 0.6× 40 0.4× 41 0.5× 54 0.7× 53 807
Guoping Ma China 11 218 0.7× 58 0.5× 23 0.2× 86 1.1× 96 1.3× 25 604
Anna Kobsar Germany 16 243 0.8× 279 2.4× 33 0.3× 53 0.7× 113 1.5× 44 967
Fabio Nicolini United States 16 171 0.5× 260 2.3× 105 1.1× 39 0.5× 139 1.9× 45 831

Countries citing papers authored by Harprit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Harprit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harprit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Harprit Singh. A scholar is included among the top collaborators of Harprit Singh 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 Harprit Singh. Harprit Singh 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
2.
Shivkumar, Maitreyi, et al.. (2024). The Effects of SARS-CoV-2 on the Angiopoietin/Tie Axis and the Vascular Endothelium. SHILAP Revista de lepidopterología. 4(1). 544–557. 2 indexed citations
3.
Sahota, Tarsem, et al.. (2023). Elderberry extract improves molecular markers of endothelial dysfunction linked to atherosclerosis. Food Science & Nutrition. 11(7). 4047–4059. 6 indexed citations
4.
Singh, Harprit, et al.. (2023). Anthocyanins and Vascular Health: A Matter of Metabolites. Foods. 12(9). 1796–1796. 24 indexed citations
5.
Singh, Harprit, et al.. (2022). Elderberries as a potential supplement to improve vascular function in a SARS‐CoV ‐2 environment. Journal of Food Biochemistry. 46(11). e14091–e14091. 10 indexed citations
6.
Macdonald, Mary Ellen, Harprit Singh, & Alexandre Fávero Bulgarelli. (2020). Death, dying, and bereavement in undergraduate dental education: A narrative review. Journal of Dental Education. 84(5). 524–533. 4 indexed citations
7.
Singh, Harprit, Mary Ellen Macdonald, & Franco A. Carnevale. (2020). Considering medical assistance in dying for minors: the complexities of children’s voices. Journal of Medical Ethics. 46(6). 399–404. 6 indexed citations
8.
Singh, Harprit, et al.. (2019). The Angiopoietin ligands and Tie receptors: potential diagnostic biomarkers of vascular disease. Journal of Receptors and Signal Transduction. 39(3). 187–193. 28 indexed citations
9.
Tahir, Tariq A., Harprit Singh, & Nicholas P.J. Brindle. (2014). The RNA binding protein hnRNP-K mediates post-transcriptional regulation of uncoupling protein-2 by angiopoietin-1. Cellular Signalling. 26(7). 1379–1384. 17 indexed citations
10.
Singh, Harprit, et al.. (2013). Development of SSR markers in mung bean, Vigna radiata (L.) Wilczek using in silico methods.. Journal of Crop and Weed. 9(1). 69–74. 11 indexed citations
11.
Sykes, Stephen M., Lars Bullinger, Rukh Yusuf, et al.. (2011). Akt/foxo signaling pathway enforces the differentiation blockade in myeloid leukemias. Experimental Hematology. 39(8). 1 indexed citations
12.
Singh, Harprit, Nicholas P.J. Brindle, & Victor A. Zammit. (2010). High glucose and elevated fatty acids suppress signaling by the endothelium protective ligand angiopoietin-1. Microvascular Research. 79(2). 121–127. 26 indexed citations
13.
Hansen, Tania M., Harprit Singh, Tariq A. Tahir, & Nicholas P.J. Brindle. (2009). Effects of angiopoietins-1 and -2 on the receptor tyrosine kinase Tie2 are differentially regulated at the endothelial cell surface. Cellular Signalling. 22(3). 527–532. 83 indexed citations
14.
Hansen, Tania M., et al.. (2008). Roles of the receptor tyrosine kinases Tie1 and Tie2 in mediating the effects of angiopoietin-1 on endothelial permeability and apoptosis. Microvascular Research. 77(2). 187–191. 20 indexed citations
15.
Marron, Marie B., et al.. (2007). Regulated Proteolytic Processing of Tie1 Modulates Ligand Responsiveness of the Receptor-tyrosine Kinase Tie2. Journal of Biological Chemistry. 282(42). 30509–30517. 94 indexed citations
16.
Chaudhary, Rajendra, et al.. (2005). Evaluation of fresh frozen plasma usage at a tertiary care hospital in North India. ANZ Journal of Surgery. 75(7). 573–576. 17 indexed citations
17.
Rainbow, Richard D., Marian James, Harprit Singh, et al.. (2004). Proximal C-terminal domain of sulphonylurea receptor 2A interacts with pore-forming Kir6 subunits in KATP channels. Biochemical Journal. 379(1). 173–181. 18 indexed citations
18.
Singh, Harprit. (2003). Distribution of Kir6.0 and SUR2 ATP-sensitive potassium channel subunits in isolated ventricular myocytes. Journal of Molecular and Cellular Cardiology. 35(5). 445–459. 74 indexed citations
19.
Singh, Harprit, et al.. (2003). Evaluation of platelet storage lesions in platelet concentrates stored for seven days.. PubMed. 118. 243–6. 14 indexed citations
20.
Chaudhary, Rajendra, et al.. (2003). Modified CMI, an essential adjunct to CMI of platelet for quality control during preparation and storage of platelet concentrates. Transfusion and Apheresis Science. 29(2). 147–149. 2 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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