N.A. Shankaracharya

536 total citations
13 papers, 206 citations indexed

About

N.A. Shankaracharya is a scholar working on Molecular Biology, Health Information Management and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, N.A. Shankaracharya has authored 13 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Health Information Management and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in N.A. Shankaracharya's work include Artificial Intelligence in Healthcare (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Enzyme Structure and Function (3 papers). N.A. Shankaracharya is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Enzyme Structure and Function (3 papers). N.A. Shankaracharya collaborates with scholars based in India and United States. N.A. Shankaracharya's co-authors include Ambarish S. Vidyarthi, Subir Samanta, Devang Odedra, Dinesh Prasad, Abhinav Mathur, Stephen L. Guthery, Jared C. Roach, Chad D. Huff, Hao Hu and Denise E. Mauldin and has published in prestigious journals such as PLoS Genetics, World Journal of Microbiology and Biotechnology and Diabetes Technology & Therapeutics.

In The Last Decade

N.A. Shankaracharya

12 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.A. Shankaracharya India 8 80 52 44 38 21 13 206
José Augusto Baranauskas Brazil 8 112 1.4× 23 0.4× 6 0.1× 67 1.8× 43 2.0× 28 305
Boyd M. Knosp United States 10 85 1.1× 32 0.6× 24 0.5× 13 0.3× 25 1.2× 25 313
Aditya Saxena India 7 33 0.4× 51 1.0× 6 0.1× 44 1.2× 17 0.8× 35 243
Mert Aydın United States 8 71 0.9× 11 0.2× 11 0.3× 24 0.6× 10 0.5× 17 230
Advait Balaji United States 8 188 2.4× 3 0.1× 23 0.5× 40 1.1× 10 0.5× 14 307
Chaoyi Wu China 9 83 1.0× 11 0.2× 9 0.2× 200 5.3× 16 0.8× 21 426
Prashanti Manda United States 9 145 1.8× 8 0.2× 18 0.4× 79 2.1× 10 0.5× 31 276
Azam Yazdani United States 11 133 1.7× 3 0.1× 71 1.6× 16 0.4× 6 0.3× 25 228
H.J. van Wijk Netherlands 9 60 0.8× 3 0.1× 176 4.0× 9 0.2× 5 0.2× 15 307
Svetlana Kutuzova Denmark 5 142 1.8× 5 0.1× 12 0.3× 14 0.4× 16 0.8× 6 215

Countries citing papers authored by N.A. Shankaracharya

Since Specialization
Citations

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

Fields of papers citing papers by N.A. Shankaracharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.A. Shankaracharya

This figure shows the co-authorship network connecting the top 25 collaborators of N.A. Shankaracharya. A scholar is included among the top collaborators of N.A. Shankaracharya 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 N.A. Shankaracharya. N.A. Shankaracharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Li, Hong, Gustavo Glusman, Hao Hu, et al.. (2014). Relationship Estimation from Whole-Genome Sequence Data. PLoS Genetics. 10(1). e1004144–e1004144. 54 indexed citations
2.
Shankaracharya, N.A., et al.. (2013). Meropenem: a potent drug against superbug as unveiled through bioinformatics approaches. International Journal of Bioinformatics Research and Applications. 9(2). 109–109. 1 indexed citations
3.
Shankaracharya, N.A., Devang Odedra, Subir Samanta, & Ambarish S. Vidyarthi. (2012). Computational Intelligence-Based Diagnosis Tool for the Detection of Prediabetes and Type 2 Diabetes in India. The Review of Diabetic Studies. 9(1). 55–62. 18 indexed citations
4.
Mathur, Abhinav, N.A. Shankaracharya, & Ambarish S. Vidyarthi. (2011). SWIFT MODELLER: A JAVA based GUI for molecular modeling. Journal of Molecular Modeling. 17(10). 2601–2607. 11 indexed citations
5.
Shankaracharya, N.A., et al.. (2011). Tools for Predicting Metal Binding Sites in Protein: A Review. Current Bioinformatics. 6(4). 444–449. 10 indexed citations
6.
Mathur, Abhinav, N.A. Shankaracharya, & Ambarish S. Vidyarthi. (2011). SWIFT MODELLER v2.0: a platform-independent GUI for homology modeling. Journal of Molecular Modeling. 18(7). 3021–3023. 7 indexed citations
7.
Shankaracharya, N.A., et al.. (2011). Homology modeling and function prediction of hABH1, involving in repair of alkylation damaged DNA. Interdisciplinary Sciences Computational Life Sciences. 3(3). 175–181. 6 indexed citations
8.
Shankaracharya, N.A., et al.. (2011). Java-Based Diabetes Type 2 Prediction Tool for Better Diagnosis. Diabetes Technology & Therapeutics. 14(3). 251–256. 9 indexed citations
9.
Shankaracharya, N.A., et al.. (2011). A molecular docking study of anticancer drug paclitaxel and its analogues.. PubMed. 48(2). 101–5. 7 indexed citations
10.
Prasad, Dinesh, et al.. (2011). Gold nanoparticles-based colorimetric assay for rapid detection of Salmonella species in food samples. World Journal of Microbiology and Biotechnology. 27(9). 2227–2230. 22 indexed citations
11.
Shankaracharya, N.A., Bhavana Srivastava, & Ambarish S. Vidyarthi. (2010). Structure Modeling of VRK1 Protein and ITS Molecular Docking Study With Ribavirin Analogs. International Journal of Pharma and Bio Sciences. 1(3). 93. 3 indexed citations
12.
Shankaracharya, N.A., Devang Odedra, Subir Samanta, & Ambarish S. Vidyarthi. (2010). Computational Intelligence in Early Diabetes Diagnosis: A Review. The Review of Diabetic Studies. 7(4). 252–262. 54 indexed citations
13.
Kumar, Ashutosh, et al.. (2009). In silico analysis of motifs in promoters of Differentially Expressed Genes in rice (Oryza sativa L.) under anoxia. International Journal of Bioinformatics Research and Applications. 5(5). 525–525. 4 indexed citations

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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