Hardeep Singh

969 total citations
26 papers, 719 citations indexed

About

Hardeep Singh is a scholar working on Molecular Biology, Ophthalmology and Oncology. According to data from OpenAlex, Hardeep Singh has authored 26 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Ophthalmology and 4 papers in Oncology. Recurrent topics in Hardeep Singh's work include Retinal Development and Disorders (7 papers), Ocular Oncology and Treatments (4 papers) and Cancer-related Molecular Pathways (3 papers). Hardeep Singh is often cited by papers focused on Retinal Development and Disorders (7 papers), Ocular Oncology and Treatments (4 papers) and Cancer-related Molecular Pathways (3 papers). Hardeep Singh collaborates with scholars based in United States, India and Czechia. Hardeep Singh's co-authors include David Cobrinik, Chitra Kannabiran, Subhadra Jalali, Richard E. Davis, Lu Wang, Suresh C. Jhanwar, David H. Abramson, Xiaoliang L. Xu, Raja Narayanan and P. Tavernier and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hardeep Singh

25 papers receiving 706 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hardeep Singh 444 277 151 122 74 26 719
Peter McWilliam 775 1.7× 123 0.4× 95 0.6× 156 1.3× 69 0.9× 23 1.1k
Peter Pecháň 786 1.8× 130 0.5× 189 1.3× 781 6.4× 91 1.2× 36 1.3k
Karin P.S. Langenberg 562 1.3× 24 0.1× 105 0.7× 79 0.6× 32 0.4× 24 763
Carmen Ramos 450 1.0× 125 0.5× 39 0.3× 268 2.2× 66 0.9× 32 720
Brett Schweers 369 0.8× 155 0.6× 168 1.1× 119 1.0× 18 0.2× 12 507
Uli Schmidt 524 1.2× 62 0.2× 109 0.7× 93 0.8× 42 0.6× 38 716
Farideh Mirzayans 625 1.4× 236 0.9× 142 0.9× 260 2.1× 163 2.2× 18 918
Peter van Tuinen 473 1.1× 27 0.1× 144 1.0× 225 1.8× 27 0.4× 32 1.0k
Susie E. Barker 871 2.0× 358 1.3× 73 0.5× 446 3.7× 102 1.4× 19 1.1k
Samuel W. Du 611 1.4× 29 0.1× 101 0.7× 231 1.9× 43 0.6× 23 1.0k

Countries citing papers authored by Hardeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Hardeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hardeep Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Hardeep Singh. A scholar is included among the top collaborators of Hardeep 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 Hardeep Singh. Hardeep 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
1.
Kumar, Pankaj, Anshu Alok, Karambir Kaur, et al.. (2024). Genome-Wide Identification of WRKY Transcription Factors in Pea (Pisum sativum L.) and their Response to Sulfur and Water Stress. Plant Molecular Biology Reporter. 43(2). 674–687.
2.
Singh, Hardeep, et al.. (2021). Does COVID 19 Impact Market Sentiment and Stock Returns?- Evidence from India. SSRN Electronic Journal. 1 indexed citations
3.
Singh, Hardeep, Wenxuan Guo, Linda Cambier, et al.. (2020). Reciprocal Induction of MDM2 and MYCN in Neural and Neuroendocrine Cancers. Frontiers in Oncology. 10. 563156–563156. 12 indexed citations
4.
Singh, Hardeep, Matthew E. Thornton, Brendan H. Grubbs, & David Cobrinik. (2019). MYCN Overexpression Induces Cone Precursor Proliferation and Tumorigenesis in Explanted Retinae. Investigative Ophthalmology & Visual Science. 60(9). 1320–1320. 1 indexed citations
5.
Li, Zhengke, et al.. (2019). A novel thyroid hormone receptor isoform, TRβ2-46, promotes SKP2 expression and retinoblastoma cell proliferation. Journal of Biological Chemistry. 294(8). 2961–5929. 6 indexed citations
6.
Singh, Hardeep, Sijia Wang, Kevin Stachelek, et al.. (2018). Developmental stage-specific proliferation and retinoblastoma genesis in RB-deficient human but not mouse cone precursors. Proceedings of the National Academy of Sciences. 115(40). E9391–E9400. 50 indexed citations
7.
Singh, Hardeep, et al.. (2017). An AI-Enabled Model for Risk Assessment of Trading in Indian Stock Market. SSRN Electronic Journal. 1 indexed citations
8.
Kaur, Ramanpreet, et al.. (2016). Design and Development of Framework for Identifying Errors in Crowdsourced Map Data. International Journal of Computer Applications. 143(7). 1–7. 1 indexed citations
9.
Singh, Hardeep, Sijia Wang, & David Cobrinik. (2015). A Human Cone Precursor Program Underlying a Proliferative Response to RB Loss. Investigative Ophthalmology & Visual Science. 56(12). 442–442. 2 indexed citations
10.
Xu, Xiaoliang L., Hardeep Singh, Lu Wang, et al.. (2014). Rb suppresses human cone-precursor-derived retinoblastoma tumours. Nature. 514(7522). 385–388. 165 indexed citations
11.
Kannabiran, Chitra, et al.. (2012). Mutations in TULP1, NR2E3, and MFRP genes in Indian families with autosomal recessive retinitis pigmentosa.. PubMed. 18. 1165–74. 32 indexed citations
12.
Kannabiran, Chitra, Hardeep Singh, & Subhadra Jalali. (2011). Mapping of locus for autosomal dominant retinitis pigmentosa on chromosome 6q23. Human Genetics. 131(5). 717–723. 5 indexed citations
13.
Kumar, Vikrant, Vegi M. Naidu, Hardeep Singh, et al.. (2006). Global Patterns in Human Mitochondrial DNA and Y-Chromosome Variation Caused by Spatial Instability of the Local Cultural Processes. PLoS Genetics. 2(4). e53–e53. 43 indexed citations
14.
Singh, Hardeep, Subhadra Jalali, J. Fielding Hejtmancik, & Chitra Kannabiran. (2006). Homozygous Null Mutations in the ABCA4 Gene in Two Families With Autosomal Recessive Retinal Dystrophy. American Journal of Ophthalmology. 141(5). 906–913. 17 indexed citations
15.
Friedman, James S., Bo Chang, Chitra Kannabiran, et al.. (2006). Premature Truncation of a Novel Protein, RD3, Exhibiting Subnuclear Localization Is Associated with Retinal Degeneration. The American Journal of Human Genetics. 79(6). 1059–1070. 95 indexed citations
16.
Guleria, Kamlesh, Hardeep Singh, Harpreet Kaur, & Vasudha Sambyal. (2005). ABO Blood Groups in Gastrointestinal Tract (GIT) and Breast Carcinoma Patients. The Anthropologist. 7(3). 189–192. 22 indexed citations
17.
Singh, Hardeep, et al.. (1996). Heat-induced interactions and gelation of mixtures of bovine beta-lactoglobulin and serum albumin. 1 indexed citations
18.
Davis, Richard E., et al.. (1995). RNA Trans-splicing in Flatworms. Journal of Biological Chemistry. 270(37). 21813–21819. 53 indexed citations
19.
Davis, Richard E., et al.. (1994). RNA trans-splicing in Fasciola hepatica. Identification of a spliced leader (SL) RNA and SL sequences on mRNAs.. Journal of Biological Chemistry. 269(31). 20026–20030. 41 indexed citations
20.
Davis, Richard E., et al.. (1993). Characterization of the Schistosoma mansoni gene encoding the glycolytic enzyme, triosephosphate isomerase. Molecular and Biochemical Parasitology. 59(2). 235–242. 19 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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