Payal Singh

1.9k total citations · 2 hit papers
39 papers, 1.3k citations indexed

About

Payal Singh is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Payal Singh has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Neurology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Payal Singh's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers) and Genomics and Phylogenetic Studies (3 papers). Payal Singh is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers) and Genomics and Phylogenetic Studies (3 papers). Payal Singh collaborates with scholars based in India, Romania and South Korea. Payal Singh's co-authors include Sachchida Nand, Anand Kumar Keshari, Gopal Nath, Virendra Bahadur Yadav, Ragini Srivastava, Mohan Singh, Emanuel Vamanu, Divya Mishra, Vivek K. Chaturvedi and Brijesh Kumar Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Food Chemistry.

In The Last Decade

Payal Singh

32 papers receiving 1.3k citations

Hit Papers

Antioxidant and antibacterial activity of silver nanopart... 2018 2026 2020 2023 2018 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Payal Singh India 15 399 311 266 161 159 39 1.3k
Nasimudeen R. Jabir Saudi Arabia 26 693 1.7× 288 0.9× 107 0.4× 183 1.1× 394 2.5× 69 2.3k
Małgorzata Kujawska Poland 22 470 1.2× 65 0.2× 190 0.7× 236 1.5× 163 1.0× 64 1.6k
Sadaf Jahan India 21 485 1.2× 106 0.3× 80 0.3× 103 0.6× 102 0.6× 72 1.3k
Abolghasem Esmaeili Iran 24 750 1.9× 181 0.6× 52 0.2× 117 0.7× 289 1.8× 93 2.0k
Maryam Ghasemi‐Kasman Iran 24 545 1.4× 61 0.2× 129 0.5× 153 1.0× 244 1.5× 68 1.6k
Sarika Singh India 24 465 1.2× 56 0.2× 267 1.0× 105 0.7× 230 1.4× 57 1.4k
Lisa Marinelli Italy 22 402 1.0× 102 0.3× 78 0.3× 80 0.5× 162 1.0× 57 1.3k
Jae‐Kyo Jeong South Korea 23 729 1.8× 366 1.2× 70 0.3× 63 0.4× 238 1.5× 43 1.7k
Feng Xiao China 28 849 2.1× 139 0.4× 54 0.2× 183 1.1× 222 1.4× 62 1.9k
Yanyan Yin China 28 649 1.6× 120 0.4× 59 0.2× 194 1.2× 236 1.5× 73 1.8k

Countries citing papers authored by Payal Singh

Since Specialization
Citations

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

Fields of papers citing papers by Payal Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Singh. A scholar is included among the top collaborators of Payal 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 Payal Singh. Payal 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.
Nand, Sachchida, Payal Singh, Neeraj Tiwari, et al.. (2025). Autophagy Modulating Potential of Mucuna pruriens in Parkinson’s Disease. Current Traditional Medicine. 12. 5 indexed citations
3.
Singh, Payal, et al.. (2025). Parishin C modulates the amyloid transformation of alpha-synuclein protein by apparently interacting with the NAC domain. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1873(4). 141076–141076. 2 indexed citations
4.
Singh, Payal, Tejal Joshi, Asiya Khan, et al.. (2025). Human papillomavirus-mediated cervical cancer: epigenetic interplay and clinical implications. Frontiers in Microbiology. 16. 1633283–1633283.
5.
Singh, Payal, et al.. (2025). Identification and prioritization of disease candidate genes using biomedical named entity recognition and random forest classification. Computers in Biology and Medicine. 192(Pt B). 110320–110320. 1 indexed citations
6.
Singh, Payal, et al.. (2025). Adenine bolsters the monomeric conformations of the intrinsically disordered A53T mutant of α-Synuclein protein. Computational Biology and Chemistry. 120(Pt 1). 108661–108661.
8.
Singh, Payal, et al.. (2024). The antiviral drug Ribavirin effectively modulates the amyloid transformation of α-Synuclein protein. Computational Biology and Chemistry. 112. 108155–108155. 2 indexed citations
9.
Singh, Payal, Sumit Arora, Deepika Kathuria, et al.. (2024). Developing low-lactose milk powder: A multi-enzyme approach to reduce Maillard browning. Innovative Food Science & Emerging Technologies. 98. 103849–103849.
10.
Singh, Payal, et al.. (2024). Salvianolic acid B prevents the amyloid transformation of A53T mutant of α-synuclein. Biophysical Chemistry. 318. 107379–107379. 3 indexed citations
12.
Khanna, Divya, et al.. (2023). Evaluation of Medical Certification of Cause of Death in Tertiary Cancer Hospitals in Northern India. Health Information Management Journal. 53(2). 121–128. 3 indexed citations
13.
Ramakrishna, Kakarla, Lakshmi Vineela Nalla, Naresh Dumala, et al.. (2023). WNT-β Catenin Signaling as a Potential Therapeutic Target for Neurodegenerative Diseases: Current Status and Future Perspective. SHILAP Revista de lepidopterología. 11(3). 89–89. 119 indexed citations breakdown →
14.
Nand, Sachchida, Neeraj Tiwari, Payal Singh, et al.. (2022). Exploring the Paradox of COVID‐19 in Neurological Complications with Emphasis on Parkinson’s and Alzheimer’s Disease. Oxidative Medicine and Cellular Longevity. 2022(1). 3012778–3012778. 42 indexed citations
15.
Nand, Sachchida, Payal Singh, Harry W.M. Steinbusch, et al.. (2021). The Role of Vitamins in Neurodegenerative Disease: An Update. Biomedicines. 9(10). 1284–1284. 69 indexed citations
16.
Nand, Sachchida, Neeraj Tiwari, Payal Singh, et al.. (2021). Therapeutic Potential of Vital Transcription Factors in Alzheimer’s and Parkinson’s Disease With Particular Emphasis on Transcription Factor EB Mediated Autophagy. Frontiers in Neuroscience. 15. 777347–777347. 72 indexed citations
17.
Singh, Payal, et al.. (2021). Promising drug targets and associated therapeutic interventions in Parkinson’s disease. Neural Regeneration Research. 16(9). 1730–1730. 80 indexed citations
18.
Nand, Sachchida, Vivek K. Chaturvedi, Payal Singh, Brijesh Kumar Singh, & Mohan Singh. (2020). Mucuna pruriens in Parkinson’s and in some other diseases: recent advancement and future prospective. 3 Biotech. 10(12). 522–522. 105 indexed citations
19.
Singh, Payal, Nilesh Kumar, Saurabh Yadav, et al.. (2018). Riboswitch regulation in cyanobacteria is independent of their habitat adaptations. Physiology and Molecular Biology of Plants. 24(2). 315–324. 12 indexed citations
20.
Keshari, Anand Kumar, Ragini Srivastava, Payal Singh, Virendra Bahadur Yadav, & Gopal Nath. (2018). Antioxidant and antibacterial activity of silver nanoparticles synthesized by Cestrum nocturnum. Journal of Ayurveda and Integrative Medicine. 11(1). 37–44. 363 indexed citations breakdown →

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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