Payal Ray

1.2k citations
12 papers · 643 · h-index 8

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 3
    • RNA regulation and disease 3
    • Parkinson's Disease Mechanisms and Treatments 2
    • Amyotrophic Lateral Sclerosis Research 2

Payal Ray

11 papers receiving 630 citations

Peers

Payal Ray
Comparison fields: 5 of 79
  • Neurology 276
  • Genetics 137
  • Aging 14
  • Neurology 56
  • Molecular Biology 412
Replace Francesco Limone with:
Francesco Limone United States
Nandini Ramesh United States
Jamie S. Mitchell United Kingdom
Shinnosuke Takagi Japan
Alyssa N. Coyne United States
J. Gavin Daigle United States
Samar Dib Canada
Christopher P Webster United Kingdom
Huadong Fan China
Lauren M. Gittings United States
Payal Ray relative to Francesco Limone United States Francesco Limone's profile →
Citations per field
00.5×1.5×2.4×
Francesco Limone · 1×
Citations per year

Countries citing papers authored by Payal Ray

Since Specialization
Citations

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

Fields of papers citing papers by Payal Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Payal Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Payal Ray Line = papers co-authored together Payal Ray links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010211
2 2008111
3 2010106
4 201199
5 201641
6 201137
7 201424
8 20107
9 20133
10 20152
11 20141
12 20211

About Payal Ray

Payal Ray is a scholar working on Molecular Biology, Neurology, Obstetrics and Gynecology, Physiology and Pharmacology, having authored 12 papers that have together received 643 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (3 papers), RNA regulation and disease (3 papers), Alzheimer's disease research and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Pregnancy and preeclampsia studies (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Neurology (276 citations), Genetics (137 citations), Aging (14 citations), Neurology (56 citations) and Molecular Biology (412 citations). Payal Ray has collaborated with scholars based in United States, India and China. Frequent co-authors include Jane Y. Wu, Kazuo Fushimi, Amar N. Kar, Elvin Woodruff, Shi Chen, Xiaoping Chen, Weirui Guo, Yan Li, Lei Wang and Leslie C. Sutherland. Their work appears in journals such as Proceedings of the National Academy of Sciences, Protein & Cell, Cancer treatment and research, Molecular and Cellular Biology and CBE—Life Sciences Education.

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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