Puneetpal Singh

5.1k total citations
57 papers, 995 citations indexed

About

Puneetpal Singh is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Puneetpal Singh has authored 57 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Epidemiology and 13 papers in Genetics. Recurrent topics in Puneetpal Singh's work include Genetic Associations and Epidemiology (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Bone health and osteoporosis research (7 papers). Puneetpal Singh is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Bone health and osteoporosis research (7 papers). Puneetpal Singh collaborates with scholars based in India, United Kingdom and United States. Puneetpal Singh's co-authors include Monica Singh, Sarabjit Mastana, Mario Di Napoli, Aurel Popa‐Wagner, Mark Slevin, Daniel Agustín Godoy, Francesca Papa, Afshin A. Divani, Simona Lattanzi and Surinder Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Stroke.

In The Last Decade

Puneetpal Singh

52 papers receiving 967 citations

Peers

Puneetpal Singh

EPIDE

NEURO

EDM

SURGE

Qin Li China

Susan P. Bagby United States

Peyamı Cınaz Türkiye

Maren Carstensen‐Kirberg Germany

Jianbo Zhou China

Eva Giralt‐Steinhauer Spain

Yong Bum Kim South Korea

Tom Mosley United States

Giovanni Tortorella Italy

Yutaka Igarashi Japan

Qin Li China

Puneetpal Singh

194 ×0.8

EPIDE

140 ×0.7

150 ×0.9

NEURO

66 ×0.4

EDM

134 ×0.9

SURGE

Citations per year, relative to Puneetpal Singh Puneetpal Singh (= 1×) peers Qin Li

Countries citing papers authored by Puneetpal Singh

Since Specialization

Citations

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

Fields of papers citing papers by Puneetpal Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puneetpal Singh

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

All Works

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20 of 20 papers shown

Singh, Monica, et al.. (2024). Molecular Signaling Pathways and MicroRNAs in Bone Remodeling: A Narrative Review. SHILAP Revista de lepidopterología. 12(10). 252–252.

Akam, Elizabeth C., et al.. (2023). Genomic diversity and differentiation of Alu insertion polymorphisms in a native British and four South Asian migrant populations. Annals of Human Biology. 50(1). 117–122.

Alsbrook, Diana, Mario Di Napoli, Kunal Bhatia, et al.. (2023). Pathophysiology of Early Brain Injury and Its Association with Delayed Cerebral Ischemia in Aneurysmal Subarachnoid Hemorrhage: A Review of Current Literature. Journal of Clinical Medicine. 12(3). 1015–1015. 30 indexed citations

Mansueto, Gelsomina, Giuseppe Lanza, Marco Montella, et al.. (2023). Central and Peripheral Nervous System Complications of Vasculitis Syndromes from Pathology to Bedside: Part 2—Peripheral Nervous System. Current Neurology and Neuroscience Reports. 23(3). 83–107. 2 indexed citations

Akam, Elizabeth C., et al.. (2023). Genetic Risk Scores for the Determination of Type 2 Diabetes Mellitus (T2DM) in North India. International Journal of Environmental Research and Public Health. 20(4). 3729–3729. 11 indexed citations

Singh, Monica, et al.. (2020). Promoter polymorphisms in IL-6 gene influence pro-inflammatory cytokines for the risk of osteoarthritis. Cytokine. 127. 154985–154985. 26 indexed citations

Bhatti, Jasvinder Singh, et al.. (2018). Prevalence and predictors of age related macular degeneration in the population of Punjab: North Indian age related macular degeneration epidemiology and molecular genetic study (NI-ARMEMS). Loughborough University Institutional Repository (Loughborough University). 8(10). 1–8. 3 indexed citations

Napoli, Mario Di, Mark Slevin, Aurel Popa‐Wagner, et al.. (2018). Monomeric C-Reactive Protein and Cerebral Hemorrhage: From Bench to Bedside. Frontiers in Immunology. 9. 1921–1921. 79 indexed citations

Singh, Siddharth, S. Tiwari, Philip K. Hopke, et al.. (2017). Ambient black carbon particulate matter in the coal region of Dhanbad, India. The Science of The Total Environment. 615. 955–963. 24 indexed citations

10.

Kaur, Gurpreet, et al.. (2016). The Prevalence and Predictors of Depression in Type 2 Diabetic Population of Punjab. Community Mental Health Journal. 52(4). 479–483. 28 indexed citations

11.

Singh, Puneetpal, et al.. (2015). Diabetes to cardiovascular disease: Is depression the potential missing link?. Medical Hypotheses. 84(4). 370–378. 14 indexed citations

12.

Singh, Monica, et al.. (2013). A susceptibility haplotype within the endothelial nitric oxide synthase gene influences bone mineral density in hypertensive women. Journal of Bone and Mineral Metabolism. 32(5). 580–587. 5 indexed citations

13.

Singh, Puneetpal, et al.. (2012). Contracted flexor tendon and its management with plaster casting and oxytetracycline in a Karan Fries crossbred calf. Intas Polivet. 13(2). 234–235.

14.

Singh, Puneetpal, Monica Singh, & Sarabjit Mastana. (2006). APOE distribution in world populations with new data from India and the UK. Annals of Human Biology. 33(3). 279–308. 256 indexed citations

15.

Singh, Puneetpal, et al.. (2006). Association of APOE (Hha1) and ACE (I/D) gene polymorphisms with type 2 diabetes mellitus in North West India. Diabetes Research and Clinical Practice. 74(1). 95–102. 35 indexed citations

16.

Dutta, Pinaki, et al.. (2004). Charcot’s foot: advanced manifestation of diabetic neuropathy. Postgraduate Medical Journal. 80(945). 434–434. 4 indexed citations

17.

Mastana, Sarabjit, et al.. (2003). Molecular genetic variation in the East Midlands, England: analysis of VNTR, STR and Alu insertion/deletion polymorphisms. Annals of Human Biology. 30(5). 538–550. 14 indexed citations

18.

Singh, Puneetpal, Monica Singh, & Sarabjit Mastana. (2002). Genetic Variation of Apolipoproteins in North Indians. Human Biology. 74(5). 673–682. 18 indexed citations

19.

Singh, Puneetpal, Monica Singh, & Sarabjit Mastana. (2002). Genetics of apolipoprotein H (β 2 -glycoprotein I) polymorphism in India. Annals of Human Biology. 29(3). 247–255. 2 indexed citations

20.

Singh, Puneetpal, et al.. (1985). Genetic polymorphism of erythrocyte acid phosphatase in Indian populations.. PubMed. 9(4). 177–95. 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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