Sankaran Sandhya

578 total citations
40 papers, 432 citations indexed

About

Sankaran Sandhya is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Sankaran Sandhya has authored 40 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 5 papers in Infectious Diseases and 3 papers in Ecology. Recurrent topics in Sankaran Sandhya's work include Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (15 papers) and Protein Structure and Dynamics (14 papers). Sankaran Sandhya is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (15 papers) and Protein Structure and Dynamics (14 papers). Sankaran Sandhya collaborates with scholars based in India, France and United Kingdom. Sankaran Sandhya's co-authors include Narayanaswamy Srinivasan, Nagasuma Chandra, Ramanathan Sowdhamini, Vijay Natarajan, Talha Bin Masood, Himani Tandon, Bernard Offmann, Pankaj Barah, K. R. Abhinandan and Ramandeep Singh and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Sankaran Sandhya

38 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sankaran Sandhya India 12 324 61 54 42 34 40 432
Dejian Zhou China 7 300 0.9× 32 0.5× 54 1.0× 32 0.8× 21 0.6× 9 401
Arjun K. Aditham United States 7 305 0.9× 55 0.9× 99 1.8× 81 1.9× 15 0.4× 12 436
István Reményi Hungary 6 384 1.2× 34 0.6× 49 0.9× 25 0.6× 42 1.2× 6 518
Gabriella Siszler Germany 7 283 0.9× 50 0.8× 89 1.6× 22 0.5× 21 0.6× 8 429
Oxana Pogoutse Canada 9 419 1.3× 39 0.6× 88 1.6× 59 1.4× 14 0.4× 11 480
Saikat Chakrabarti India 13 423 1.3× 21 0.3× 46 0.9× 33 0.8× 49 1.4× 33 503
Guillaume Postic France 12 360 1.1× 23 0.4× 79 1.5× 36 0.9× 75 2.2× 27 436
Julie L. Chaney United States 9 539 1.7× 28 0.5× 113 2.1× 47 1.1× 82 2.4× 11 649
Dorota Matelska Poland 14 345 1.1× 36 0.6× 90 1.7× 74 1.8× 29 0.9× 20 441
Timothy J. Herdendorf United States 13 358 1.1× 33 0.5× 113 2.1× 55 1.3× 44 1.3× 30 488

Countries citing papers authored by Sankaran Sandhya

Since Specialization
Citations

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

Fields of papers citing papers by Sankaran Sandhya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sankaran Sandhya

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

All Works

20 of 20 papers shown
1.
Tandon, Himani, et al.. (2023). The alteration of structural network upon transient association between proteins studied using graph theory. Proteins Structure Function and Bioinformatics. 93(1). 217–225. 3 indexed citations
2.
Sandhya, Sankaran, et al.. (2021). Rewards of divergence in sequences, 3-D structures and dynamics of yeast and human spliceosome SF3b complexes. SHILAP Revista de lepidopterología. 3. 133–145. 3 indexed citations
3.
Srinivasan, Narayanaswamy, et al.. (2021). Signatures of conserved and unique molecular features in Afrotheria. Scientific Reports. 11(1). 1011–1011. 2 indexed citations
4.
Sandhya, Sankaran, et al.. (2021). Comparative Analysis of Structural and Dynamical Features of Ribosome Upon Association With mRNA Reveals Potential Role of Ribosomal Proteins. Frontiers in Molecular Biosciences. 8. 654164–654164. 4 indexed citations
5.
6.
Tandon, Himani, et al.. (2020). Molecular and Structural Basis of Cross-Reactivity in M. tuberculosis Toxin–Antitoxin Systems. Toxins. 12(8). 481–481. 9 indexed citations
7.
Kumar, Gayatri, Narayanaswamy Srinivasan, & Sankaran Sandhya. (2020). Artificial protein sequences enable recognition of vicinal and distant protein functional relationships. Proteins Structure Function and Bioinformatics. 88(12). 1688–1700. 1 indexed citations
8.
Arun, Damodaran, Sankaran Sandhya, Mohammad Abdulkader Akbarsha, Oommen V. Oommen, & Lekha Divya. (2020). An insight into the skin glands, dermal scales and secretions of the caecilian amphibian Ichthyophis beddomei. Saudi Journal of Biological Sciences. 27(10). 2683–2690. 5 indexed citations
9.
Tandon, Himani, et al.. (2019). Bioinformatic and mutational studies of related toxin–antitoxin pairs in Mycobacterium tuberculosis predict and identify key functional residues. Journal of Biological Chemistry. 294(23). 9048–9063. 28 indexed citations
10.
Tandon, Himani, et al.. (2019). Mycobacterium tuberculosis Rv0366c-Rv0367c encodes a non-canonical PezAT-like toxin-antitoxin pair. Scientific Reports. 9(1). 1163–1163. 16 indexed citations
11.
Sandhya, Sankaran, et al.. (2018). Domain architecture of BAF250a reveals the ARID and ARM-repeat domains with implication in function and assembly of the BAF remodeling complex. PLoS ONE. 13(10). e0205267–e0205267. 17 indexed citations
12.
Kumar, Gayatri, et al.. (2018). Use of designed sequences in protein structure recognition. Biology Direct. 13(1). 8–8. 6 indexed citations
13.
Sowdhamini, Ramanathan, et al.. (2013). Filling-in Void and Sparse Regions in Protein Sequence Space by Protein-Like Artificial Sequences Enables Remarkable Enhancement in Remote Homology Detection Capability. Journal of Molecular Biology. 426(4). 962–979. 11 indexed citations
14.
Sandhya, Sankaran, et al.. (2012). Cascaded walks in protein sequence space: use of artificial sequences in remote homology detection between natural proteins. Molecular BioSystems. 8(8). 2076–2084. 7 indexed citations
15.
Sandhya, Sankaran, et al.. (2009). Length Variations amongst Protein Domain Superfamilies and Consequences on Structure and Function. PLoS ONE. 4(3). e4981–e4981. 37 indexed citations
16.
17.
Gowri, V. S. & Sankaran Sandhya. (2006). Recent trends in Remote homology detection: an Indian Medley. Bioinformation. 1(1). 94–96. 2 indexed citations
18.
Bhadra, R K, Sankaran Sandhya, K. R. Abhinandan, et al.. (2006). Cascade PSI-BLAST web server: a remote homology search tool for relating protein domains. Nucleic Acids Research. 34(Web Server). W143–W146. 11 indexed citations
19.
Sandhya, Sankaran, Saikat Chakrabarti, K. R. Abhinandan, Ramanathan Sowdhamini, & Narayanaswamy Srinivasan. (2005). Assessment of a Rigorous Transitive Profile Based Search Method to Detect Remotely Similar Proteins. Journal of Biomolecular Structure and Dynamics. 23(3). 283–298. 19 indexed citations
20.
Sandhya, Sankaran, et al.. (2003). Effective detection of remote homologues by searching in sequence dataset of a protein domain fold. FEBS Letters. 552(2-3). 225–230. 8 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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