Sankaran Sandhya

578 citations
40 papers · 432 · h-index 12

Impact in

Papers in

    • Genomics and Phylogenetic Studies 15
    • RNA and protein synthesis mechanisms 15
    • Protein Structure and Dynamics 14
    • Machine Learning in Bioinformatics 10
    • RNA Research and Splicing 4
    • Tuberculosis Research and Epidemiology 4

Sankaran Sandhya

38 papers receiving 427 citations

Peers

Sankaran Sandhya
Comparison fields: 5 of 74
  • Molecular Biology 324
  • Molecular Medicine 23
  • Infectious Diseases 61
  • Genetics 54
  • Computational Theory and Mathematics 28
Replace Timothy J. Herdendorf with:
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István Reményi Hungary
Tony Ferrar Spain
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Arjun K. Aditham United States
Guillaume Postic France
Dejian Zhou China
Yunchao Ling China
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 200937
3 201535
4 201130
5 201928
6 200519
7 201817
8 201417
9 201916
10 200814
11 201311
12 200611
13 200610
14 201410
15 201610
16 202210
17 20209
18 20139
19 20038
20 20218

About Sankaran Sandhya

Sankaran Sandhya is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Genetics and Spectroscopy, having authored 40 papers that have together received 432 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (15 papers), Protein Structure and Dynamics (14 papers), Machine Learning in Bioinformatics (10 papers), Tuberculosis Research and Epidemiology (4 papers), RNA Research and Splicing (4 papers), Bacteriophages and microbial interactions (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (324 citations), Molecular Medicine (23 citations), Infectious Diseases (61 citations), Genetics (54 citations) and Computational Theory and Mathematics (28 citations). Sankaran Sandhya has collaborated with scholars based in India, France and United Kingdom. Frequent co-authors include Narayanaswamy Srinivasan, Nagasuma Chandra, Ramanathan Sowdhamini, Talha Bin Masood, Vijay Natarajan, Himani Tandon, Pankaj Barah, Bernard Offmann, Ramandeep Singh and K. R. Abhinandan. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Scientific Reports, Proteins Structure Function and Bioinformatics and Biology Direct.

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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