Narayanan Narayanan

601 citations
10 papers · 342 · h-index 7

Impact in

  • Biochemistry top 10%
    • Eicosanoids and Hypertension Pharmacology
    • Lipid metabolism and biosynthesis
    • Fatty Acid Research and Health
    • Selenium in Biological Systems

Papers in

Narayanan Narayanan

9 papers receiving 331 citations

Peers

Narayanan Narayanan
Comparison fields: 5 of 79
  • Biochemistry 79
  • Nutrition and Dietetics 159
  • Cancer Research 89
  • Toxicology 12
  • Health Informatics 4
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Ammira Al‐Shabeeb Akil Qatar
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Citations per field
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Citations per year

Countries citing papers authored by Narayanan Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Narayanan Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001145
2 200567
3 200637
4 202228
5 201625
6 199419
7 202118
8 20172
9
Molecular targets for chemopreventive agent 1,4-phenylenebis(methylene)selenocyanate (p-XSC) in human non small cell lung cancer cells
20051
10
Association of a pool of free amino acids with cardiac myofibrils.
19760

About Narayanan Narayanan

Narayanan Narayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Molecular Biology, Pharmacology and Artificial Intelligence, having authored 10 papers that have together received 342 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Cancer, Lipids, and Metabolism (2 papers), COVID-19 diagnosis using AI (2 papers), AI in cancer detection (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Biochemistry (79 citations), Nutrition and Dietetics (159 citations), Cancer Research (89 citations), Toxicology (12 citations) and Health Informatics (4 citations). Narayanan Narayanan has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Bhagavathi A. Narayanan, Bandaru S. Reddy, Liangju Kuang, Balasubramanian Raman, Ridhi Arora, Ganesh N. Pandian, Meng Deng, Rahul Kumar, Himanshu Buckchash and Vipul Bansal. Their work appears in journals such as International Journal of Oncology, Infection and Immunity, Physical and Engineering Sciences in Medicine, Carcinogenesis and Multimedia Tools and Applications.

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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