Tapas K. Ray

641 citations
10 papers · 594 · h-index 8

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Glycosylation and Glycoproteins Research 1
    • Enzyme Catalysis and Immobilization 1
    • Lipid metabolism and biosynthesis 5

Tapas K. Ray

10 papers receiving 523 citations

Peers

Tapas K. Ray
Comparison fields: 5 of 71
  • Biochemistry 180
  • Clinical Biochemistry 67
  • Molecular Biology 467
  • Nutrition and Dietetics 50
  • Cell Biology 52
Replace D.P. Burma with:
D.P. Burma India
Simon Ward United Kingdom
Jason J. Reddick United States
Sophie Rahuel-Clermont France
B. Olin Sweden
I.B. Zbarsky Russia
Sue H. Neece United States
Mojtaba Esfahani United States
Bengt Mannervik Sweden
Beverly M. Guirard United States
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Citations per field
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Citations per year

Countries citing papers authored by Tapas K. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Tapas K. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Tapas K. 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 Tapas K. Ray Line = papers co-authored together Tapas K. Ray links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1969183
2
The specific acylation of glycerol 3-phosphate to monoacylglycerol 3-phosphate in Escherichia coli. Evidence for a single enzyme conferring this specificity.
197088
3 197086
4 197078
5 197669
6 199348
7 197623
8 197611
9 19796
10 19882

About Tapas K. Ray

Tapas K. Ray is a scholar working on Molecular Biology, Biochemistry, Spectroscopy, Oncology and Pharmacology, having authored 10 papers that have together received 594 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Peanut Plant Research Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Biochemistry (180 citations), Clinical Biochemistry (67 citations), Molecular Biology (467 citations), Nutrition and Dietetics (50 citations) and Cell Biology (52 citations). Tapas K. Ray has collaborated with scholars based in United States and India. Frequent co-authors include John E. Cronan, P. Roy Vagelos, Richard D. Mavis, Vladimir P. Skipski, Marion Barclay, Edward Essner, Stephen P. Holly, D. A. Knauft, Albert G. Abbott and Gary L. Powell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Analytical Biochemistry, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

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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