S. Anusuya

563 total citations
41 papers, 398 citations indexed

About

S. Anusuya is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, S. Anusuya has authored 41 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in S. Anusuya's work include Computational Drug Discovery Methods (8 papers), Leprosy Research and Treatment (4 papers) and Nanoparticles: synthesis and applications (4 papers). S. Anusuya is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Leprosy Research and Treatment (4 papers) and Nanoparticles: synthesis and applications (4 papers). S. Anusuya collaborates with scholars based in India, Japan and Tanzania. S. Anusuya's co-authors include M. Michael Gromiha, V. Anbazhagan, Jeyakumar Natarajan, Devadasan Velmurugan, Nisha Muralidharan, C. V. Ramakrishnan, Suresh K. Rayala, Ramasamy Sakthivel, S. Kannan and S. Akila Parvathy Dharshini and has published in prestigious journals such as Applied Biochemistry and Biotechnology, Journal of Molecular Structure and Current Topics in Medicinal Chemistry.

In The Last Decade

S. Anusuya

34 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Anusuya India 12 131 119 93 70 57 41 398
Mohammad Mahfuz Ali Khan Shawan Bangladesh 10 147 1.1× 46 0.4× 61 0.7× 69 1.0× 18 0.3× 19 352
Abdulaziz S. Alothaim Saudi Arabia 10 163 1.2× 60 0.5× 46 0.5× 58 0.8× 32 0.6× 33 428
Qudsia Yousafi Pakistan 9 120 0.9× 129 1.1× 54 0.6× 42 0.6× 88 1.5× 36 425
Sundaraj Rajamanikandan India 11 170 1.3× 50 0.4× 59 0.6× 31 0.4× 28 0.5× 21 348
Md Salah Uddin Bangladesh 9 111 0.8× 31 0.3× 80 0.9× 61 0.9× 40 0.7× 28 381
Yawen Gao China 12 158 1.2× 34 0.3× 29 0.3× 49 0.7× 44 0.8× 38 356
Diogo Kuczera Brazil 12 135 1.0× 38 0.3× 32 0.3× 174 2.5× 47 0.8× 15 553
René B. Khan South Africa 13 216 1.6× 37 0.3× 52 0.6× 49 0.7× 75 1.3× 43 467
Bader S. Alotaibi Saudi Arabia 12 98 0.7× 17 0.1× 61 0.7× 27 0.4× 28 0.5× 48 321
M. S. A. Muthukumar Nadar India 9 85 0.6× 44 0.4× 11 0.1× 35 0.5× 55 1.0× 14 337

Countries citing papers authored by S. Anusuya

Since Specialization
Citations

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

Fields of papers citing papers by S. Anusuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Anusuya

This figure shows the co-authorship network connecting the top 25 collaborators of S. Anusuya. A scholar is included among the top collaborators of S. Anusuya 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 S. Anusuya. S. Anusuya 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.
Anusuya, S., et al.. (2025). Advancing underwater binary image segmentation with PDBU-Net: A progressive approach to feature extraction and accuracy improvement. Regional Studies in Marine Science. 83. 104065–104065. 1 indexed citations
2.
Anusuya, S., et al.. (2024). A dual algorithmic approach to deal with multiclass imbalanced classification problems. Big Data Research. 38. 100484–100484. 1 indexed citations
4.
Anusuya, S., et al.. (2024). Polymer based Carbon Aerogels for Methylene blue and indigo carmine dyes removal. Journal of Physics Conference Series. 2801(1). 12022–12022. 1 indexed citations
6.
Mohan, Suyash, et al.. (2023). Machine learning approach for measuring water quality of coastline and estuaries in Chennai coastal area. Environmental Quality Management. 33(4). 179–191. 2 indexed citations
7.
Kannan, S. & S. Anusuya. (2023). Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis. Computers, materials & continua/Computers, materials & continua (Print). 77(3). 3835–3851. 1 indexed citations
8.
Anusuya, S., et al.. (2023). Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 1209–1226. 6 indexed citations
10.
11.
Anusuya, S.. (2020). Therapeutic Targets and Computational Approaches on Drug Development for COVID-19. Current Topics in Medicinal Chemistry. 20(24). 2210–2220. 1 indexed citations
12.
Anusuya, S., et al.. (2020). Computational approaches for identifying potential inhibitors on targeting protein interactions in drug discovery. Advances in protein chemistry and structural biology. 121. 25–47. 13 indexed citations
13.
Muralidharan, S., et al.. (2018). Reading aid for visually impaired people. International journal of advance research, ideas and innovations in technology. 4(2). 399–405. 1 indexed citations
15.
Anusuya, S., et al.. (2015). YEAST GENE EXPRESSION ANALYSIS USING K MEANS AND FCM. International Journal of Pharma and Bio Sciences. 4 indexed citations
16.
Anusuya, S. & Jeyakumar Natarajan. (2014). Combination of site directed mutagenesis and secondary structure analysis predicts the amino acids essential for stability of M. leprae MurE. Interdisciplinary Sciences Computational Life Sciences. 6(1). 40–47. 3 indexed citations
17.
Anusuya, S. & Jeyakumar Natarajan. (2013). The eradication of leprosy: molecular modeling techniques for novel drug discovery. Expert Opinion on Drug Discovery. 8(10). 1239–1251. 7 indexed citations
18.
Anusuya, S., V. Anbazhagan, & Jeyakumar Natarajan. (2012). Virtual screening of phenylsulfonamido-3-morpholinopropan-2-yl dihydrogen phosphate derivatives as novel inhibitors of MurC–MurF ligases from Mycobacterium leprae. Medicinal Chemistry Research. 21(12). 4341–4351. 6 indexed citations
20.
Anusuya, S. & Jeyakumar Natarajan. (2010). Computational genome analyses of metabolic enzymes in Mycobacterium leprae for drug target identification. Bioinformation. 4(9). 392–395. 22 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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