Prashanth Athri

486 total citations
20 papers, 354 citations indexed

About

Prashanth Athri is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Prashanth Athri has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Prashanth Athri's work include Computational Drug Discovery Methods (7 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Prashanth Athri is often cited by papers focused on Computational Drug Discovery Methods (7 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Prashanth Athri collaborates with scholars based in India, United States and Switzerland. Prashanth Athri's co-authors include W. David Wilson, Daniel Enderle, Michael Stadler, Christian Beisel, Moritz Gerstung, Renato Paro, Tanja Wenzler, Richard R. Tidwell, Karyn Meltz Steinberg and David T. Okou and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Genome Research.

In The Last Decade

Prashanth Athri

19 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Athri India 10 259 55 33 33 32 20 354
Elke Michalsky Germany 12 384 1.5× 78 1.4× 57 1.7× 34 1.0× 25 0.8× 18 524
Prashant K. Khade United States 10 261 1.0× 79 1.4× 38 1.2× 19 0.6× 59 1.8× 18 435
Cheng-Tsung Lu Taiwan 16 570 2.2× 35 0.6× 14 0.4× 38 1.2× 30 0.9× 17 649
Sarah Mubeen Germany 9 193 0.7× 71 1.3× 14 0.4× 19 0.6× 10 0.3× 19 277
Thomas Litfin Australia 16 758 2.9× 111 2.0× 26 0.8× 15 0.5× 14 0.4× 27 859
Ronak Y. Patel United States 14 426 1.6× 27 0.5× 99 3.0× 34 1.0× 37 1.2× 28 556
S. S. Sheik India 7 205 0.8× 56 1.0× 10 0.3× 18 0.5× 37 1.2× 10 307
Eli J. Draizen United States 6 288 1.1× 40 0.7× 44 1.3× 28 0.8× 7 0.2× 10 349
Jaime L. Stark United States 13 287 1.1× 55 1.0× 19 0.6× 16 0.5× 12 0.4× 14 403
Marit Ackermann Germany 7 281 1.1× 18 0.3× 82 2.5× 11 0.3× 13 0.4× 8 370

Countries citing papers authored by Prashanth Athri

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Athri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Athri

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Athri. A scholar is included among the top collaborators of Prashanth Athri 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 Prashanth Athri. Prashanth Athri 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.
Dhar, Pawan K., et al.. (2024). Computational Prediction of Potential Vaccine Candidates From tRNA Encoded peptides (tREP) Using a Bioinformatic Workflow and Molecular Dynamics Validations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(3). 439–449. 2 indexed citations
2.
Athri, Prashanth, et al.. (2023). Analysis of RNA-Seq data using self-supervised learning for vital status prediction of colorectal cancer patients. BMC Bioinformatics. 24(1). 241–241. 4 indexed citations
3.
Nedungadi, Prema, et al.. (2022). Predicting clinical trial outcomes using drug bioactivities through graph database integration and machine learning. Chemical Biology & Drug Design. 100(2). 169–184. 7 indexed citations
4.
5.
Purnaprajna, Madhura, et al.. (2022). Review of Electrostatic Force Calculation Methods and Their Acceleration in Molecular Dynamics Packages Using Graphics Processors. ACS Omega. 7(37). 32877–32896. 11 indexed citations
6.
Okou, David T., et al.. (2020). Predicting adverse drug reactions of two‐drug combinations using structural and transcriptomic drug representations to train an artificial neural network. Chemical Biology & Drug Design. 97(3). 665–673. 16 indexed citations
7.
8.
Athri, Prashanth, et al.. (2020). CompoundDB4j: Integrated Drug Resource of Heterogeneous Chemical Databases. Molecular Informatics. 39(9). e2000013–e2000013. 3 indexed citations
9.
Purnaprajna, Madhura, et al.. (2020). Laplacian score and genetic algorithm based automatic feature selection for Markov State Models in adaptive sampling based molecular dynamics. SHILAP Revista de lepidopterología. 2. e9–e9. 2 indexed citations
10.
Athri, Prashanth, et al.. (2018). ChEMBL Bot - A Chat Bot for ChEMBL database. 1–6. 4 indexed citations
11.
Sulakhe, Dinanath, Mark D’Souza, Sheng Wang, et al.. (2018). Exploring the functional impact of alternative splicing on human protein isoforms using available annotation sources. Briefings in Bioinformatics. 20(5). 1754–1768. 18 indexed citations
12.
Athri, Prashanth, et al.. (2018). HMSPKmerCounter: Hadoop based Parallel, Scalable, Distributed Kmer Counter for Large Datasets. 12. 112–118. 1 indexed citations
13.
Athri, Prashanth, et al.. (2017). Web-based drug repurposing tools: a survey. Briefings in Bioinformatics. 20(1). 299–316. 36 indexed citations
14.
Brunk, Elizabeth, Marta A. S. Perez, Prashanth Athri, & Ursula Röthlisberger. (2016). Genetic‐Algorithm‐Based Optimization of a Peptidic Scaffold for Sequestration and Hydration of CO2. ChemPhysChem. 17(23). 3831–3835. 3 indexed citations
15.
Enderle, Daniel, Christian Beisel, Michael Stadler, et al.. (2010). Polycomb preferentially targets stalled promoters of coding and noncoding transcripts. Genome Research. 21(2). 216–226. 129 indexed citations
16.
Shetty, Amol C., Prashanth Athri, Kajari Mondal, et al.. (2010). SeqAnt: A web service to rapidly identify and annotate DNA sequence variations. BMC Bioinformatics. 11(1). 471–471. 27 indexed citations
17.
Athri, Prashanth, Tanja Wenzler, Richard R. Tidwell, Svetlana M. Bakunova, & W. David Wilson. (2010). Pharmacophore model for pentamidine analogs active against Plasmodium falciparum. European Journal of Medicinal Chemistry. 45(12). 6147–6151. 10 indexed citations
18.
Okou, David T., Adam E. Locke, Karyn Meltz Steinberg, et al.. (2009). Combining Microarray‐based Genomic Selection (MGS) with the Illumina Genome Analyzer Platform to Sequence Diploid Target Regions. Annals of Human Genetics. 73(5). 502–513. 17 indexed citations
19.
Athri, Prashanth & W. David Wilson. (2009). Molecular Dynamics of Water-Mediated Interactions of a Linear Benzimidazole−Biphenyl Diamidine with the DNA Minor Groove. Journal of the American Chemical Society. 131(22). 7618–7625. 36 indexed citations
20.
Athri, Prashanth, Tanja Wenzler, Patricia Ruíz, et al.. (2006). 3D QSAR on a library of heterocyclic diamidine derivatives with antiparasitic activity. Bioorganic & Medicinal Chemistry. 14(9). 3144–3152. 27 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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