Shayoni Ray

517 citations
18 papers · 336 · h-index 11

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Spaceflight effects on biology
    • Salivary Gland Disorders and Functions

Papers in

Shayoni Ray

18 papers receiving 329 citations

Peers

Shayoni Ray
Comparison fields: 5 of 75
  • Aging 29
  • Physiology 113
  • Endocrinology, Diabetes and Metabolism 57
  • Radiology, Nuclear Medicine and Imaging 38
  • Cell Biology 28
Replace Tamotsu Nakano with:
Tamotsu Nakano Japan
Darryl L. Kirkpatrick United States
Xiuju Chen China
Ann‐Sofie Schreurs United States
Edmund Benes United States
Kriss Westphal Germany
Elisabeth Warnke Germany
Kasper Derks Netherlands
Manami Hiraiwa Japan
Remo Lazzarini Italy
Shayoni Ray relative to Tamotsu Nakano Japan Tamotsu Nakano's profile →
Citations per field
00.5×5×10×14.5×
Tamotsu Nakano · 1×
Citations per year

Countries citing papers authored by Shayoni Ray

Since Specialization
Citations

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

Fields of papers citing papers by Shayoni Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shayoni 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 Shayoni Ray Line = papers co-authored together Shayoni Ray links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 199667
2 201861
3 201835
4 201826
5 201018
6 199518
7 201417
8 201214
9 201313
10 201313
11 201511
12 202010
13 20187
14 20107
15 20195
16 20025
17 20135
18 20124

About Shayoni Ray

Shayoni Ray is a scholar working on Molecular Biology, Oncology, Physiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 336 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Salivary Gland Disorders and Functions (3 papers), Advanced Radiotherapy Techniques (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Spaceflight effects on biology (2 papers), Cell Image Analysis Techniques (2 papers), RNA Research and Splicing (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Aging (29 citations), Physiology (113 citations), Endocrinology, Diabetes and Metabolism (57 citations), Radiology, Nuclear Medicine and Imaging (38 citations) and Cell Biology (28 citations). Shayoni Ray has collaborated with scholars based in United States, India and Germany. Frequent co-authors include A.M. Samuel, Sylvain V. Costes, Daniel C. Berrios, Melinda Larsen, Homer Fogle, Samrawit Gebre, Peter Tran, Jonathan M. Galazka, Bülent Yener and Afshin Beheshti. Their work appears in journals such as PLoS ONE, Journal of Visualized Experiments, Bioinformatics, PLoS Computational Biology and Nucleic Acid Therapeutics.

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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