Rahul Ray

65 papers receiving 1.7k citations

Peers

Rahul Ray
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 994
  • Cell Biology 337
  • Nutrition and Dietetics 268
  • Genetics 403
  • Endocrinology, Diabetes and Metabolism 173
Replace Seiichi Ishizuka with:
Seiichi Ishizuka Japan
Jean M. Prahl United States
S. YAMADA Japan
Glenda L. Wong United States
Ewa Marcinkowska Poland
Guy W. J. Makin United Kingdom
Lydia C. Pan United States
Hiromichi Hemmi Japan
Elise S. Bales United States
Bellur Seetharam United States
Rahul Ray relative to Seiichi Ishizuka Japan Seiichi Ishizuka's profile →
Citations per field
00.5×1.7×
Seiichi Ishizuka · 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001276
2 2003112
3 200083
4 199459
5 199658
6 200058
7 201350
8 199347
9 200244
10 199042
11 201640
12 200138
13 199938
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.
201035
15 200233
16 200029
17 200029
18 199628
19 200626
20 198926

About Rahul Ray

Rahul Ray is a scholar working on Pathology and Forensic Medicine, Cell Biology, Genetics, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Vitamin D Research Studies (54 papers), Estrogen and related hormone effects (23 papers), Biotin and Related Studies (21 papers), Vitamin C and Antioxidants Research (7 papers), Photodynamic Therapy Research Studies (4 papers), Click Chemistry and Applications (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Vitamin K Research Studies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (994 citations), Cell Biology (337 citations), Nutrition and Dietetics (268 citations), Genetics (403 citations) and Endocrinology, Diabetes and Metabolism (173 citations). Rahul Ray has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Narasimha Swamy, Michael F. Holick, Daniel T. Baran, Thomas W. Honeyman, Ann Marie Sorensen, Kelly Scott Persons, J. W. Head, James R. Lambert, Anders Nykjær and Albert de la Chapelle. Their work appears in journals such as Journal of Cellular Biochemistry, Steroids, Archives of Biochemistry and Biophysics, Biochemistry and Bioorganic & Medicinal Chemistry Letters.

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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