Narayanan Narayanan

599 total citations
9 papers, 297 citations indexed

About

Narayanan Narayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Narayanan Narayanan has authored 9 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Narayanan Narayanan's work include Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and AI in cancer detection (2 papers). Narayanan Narayanan is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and AI in cancer detection (2 papers). Narayanan Narayanan collaborates with scholars based in India, United States and Malaysia. Narayanan Narayanan's co-authors include Bhagavathi A. Narayanan, Bandaru S. Reddy, Ganesh N. Pandian, Rahul Kumar, Himanshu Buckchash, Vinodh J Sahayasheela, Balasubramanian Raman, Ridhi Arora, Emerich S. Fiala and Dhimant Desai and has published in prestigious journals such as Infection and Immunity, Carcinogenesis and International Journal of Oncology.

In The Last Decade

Narayanan Narayanan

8 papers receiving 291 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Narayanan Narayanan India 6 145 93 83 79 37 9 297
Jing Mu China 9 31 0.2× 34 0.4× 60 0.7× 18 0.2× 12 0.3× 30 288
Solveigh Krusekopf Germany 8 18 0.1× 36 0.4× 85 1.0× 16 0.2× 7 0.2× 12 327
Jørgen Aarøe Norway 7 141 1.0× 59 0.6× 131 1.6× 56 0.7× 6 0.2× 10 380
Eberhard Scholz Germany 13 19 0.1× 21 0.2× 104 1.3× 9 0.1× 31 0.8× 42 495
Tao Zhao China 12 45 0.3× 26 0.3× 99 1.2× 5 0.1× 50 1.4× 45 410
Shuichi Nojiri Japan 5 21 0.1× 81 0.9× 147 1.8× 8 0.1× 8 0.2× 10 586
John Babiak United States 14 95 0.7× 72 0.8× 165 2.0× 38 0.5× 3 0.1× 23 488
Renata Esposito Italy 9 27 0.2× 27 0.3× 108 1.3× 12 0.2× 32 0.9× 27 329
Helmut Pein Germany 8 22 0.2× 40 0.4× 108 1.3× 22 0.3× 7 0.2× 9 246
Maren C. Podszun Germany 12 51 0.4× 22 0.2× 98 1.2× 33 0.4× 2 0.1× 18 361

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-authorship network of co-authors of Narayanan Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Narayanan Narayanan. A scholar is included among the top collaborators of Narayanan Narayanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Narayanan Narayanan. Narayanan Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kumar, Rahul, Ridhi Arora, Vinodh J Sahayasheela, et al.. (2022). Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient. Multimedia Tools and Applications. 81(19). 27631–27655. 26 indexed citations
2.
Arora, Ridhi, Himanshu Buckchash, Rahul Kumar, et al.. (2021). AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs. Physical and Engineering Sciences in Medicine. 44(4). 1257–1271. 18 indexed citations
3.
Narayanan, Narayanan, et al.. (2017). Dirofilariasis: A Report on Emerging Zoonosis in South India. Journal of Case Reports. 306–308. 2 indexed citations
4.
El‐Bayoumy, Karam, Arunangshu Das, Bhagavathi A. Narayanan, et al.. (2006). Molecular targets of the chemopreventive agent 1,4-phenylenebis (methylene)-selenocyanate in human non-small cell lung cancer. Carcinogenesis. 27(7). 1369–1376. 34 indexed citations
5.
Das, Arunangshu, Raghu Sinha, Bhagavathi A. Narayanan, et al.. (2005). Molecular targets for chemopreventive agent 1,4-phenylenebis(methylene)selenocyanate (p-XSC) in human non small cell lung cancer cells. 65. 573–573. 1 indexed citations
6.
Narayanan, Narayanan, Bhagavathi A. Narayanan, & Bandaru S. Reddy. (2005). A combination of docosahexaenoic acid and celecoxib prevents prostate cancer cell growth in vitro and is associated with modulation of nuclear factor-κB, and steroid hormone receptors. International Journal of Oncology. 26(3). 785–92. 62 indexed citations
7.
Narayanan, Bhagavathi A., Narayanan Narayanan, & Bandaru S. Reddy. (2001). Docosahexaenoic acid regulated genes and transcription factors inducing apoptosis in human colon cancer cells. International Journal of Oncology. 19(6). 1255–62. 135 indexed citations
8.
Singh, Sarman, Narayanan Narayanan, Peter Jenner, et al.. (1994). Sera of leprosy patients with type 2 reactions recognize selective sequences in Mycobacterium leprae recombinant LSR protein. Infection and Immunity. 62(1). 86–90. 19 indexed citations
9.
Narayanan, Narayanan & J Eapen. (1976). Association of a pool of free amino acids with cardiac myofibrils.. PubMed. 14(6). 666–9.

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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