Rahul Ray

67 papers receiving 1.5k citations

Peers

Rahul Ray
Comparison fields: 5 of 96
  • Pathology and Forensic Medicine 906
  • Cell Biology 315
  • Nutrition and Dietetics 253
  • Genetics 387
  • Endocrinology, Diabetes and Metabolism 181
Replace K W Colston with:
K W Colston United Kingdom
Seiichi Ishizuka Japan
María Jesús Larriba Spain
Gang Ning United States
Ewa Marcinkowska Poland
Yoshiro Kobayashi Japan
Guido Orlandini Italy
J. G. M. Huijmans Netherlands
Carol Dangelmaier United States
Guy Makin United Kingdom
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Citations per field
00.5×2.7×
K W Colston · 1×
Citations per year

Countries citing papers authored by Rahul Ray

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001246
2 2003100
3 200073
4 199456
5 200054
6 199652
7 201349
8 201637
9 200236
10 199934
11 199034
12 200132
13 199331
14
Anti-growth effect of 1,25-dihydroxyvitamin D3-3-bromoacetate alone or in combination with 5-amino-imidazole-4-carboxamide-1-beta-4-ribofuranoside in pancreatic cancer cells.
201029
15 200028
16 199627
17 200226
18 200025
19 200624
20 200624

About Rahul Ray

Rahul Ray is a scholar working on Pathology and Forensic Medicine, Genetics, Cell Biology, Molecular Biology and Nutrition and Dietetics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vitamin D Research Studies (55 papers), Estrogen and related hormone effects (24 papers), Biotin and Related Studies (21 papers), Vitamin C and Antioxidants Research (7 papers), Nanoplatforms for cancer theranostics (4 papers), Vitamin K Research Studies (4 papers), Click Chemistry and Applications (4 papers) and Photodynamic Therapy Research Studies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (906 citations), Cell Biology (315 citations), Nutrition and Dietetics (253 citations), Genetics (387 citations) and Endocrinology, Diabetes and Metabolism (181 citations). Rahul Ray has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Narasimha Swamy, Michael F. Holick, Daniel T. Baran, Thomas W. Honeyman, Kelly S. Persons, A. M. Sorensen, James R. Lambert, J. W. Head, Morten S. Nielsen and Renata Kozyraki. Their work appears in journals such as Journal of Cellular Biochemistry, Archives of Biochemistry and Biophysics, Steroids, Bioorganic & Medicinal Chemistry Letters and Biochemistry.

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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