Ananth Prakash

9.3k total citations · 2 hit papers
18 papers, 4.9k citations indexed

About

Ananth Prakash is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Ananth Prakash has authored 18 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Spectroscopy and 2 papers in Cell Biology. Recurrent topics in Ananth Prakash's work include Advanced Proteomics Techniques and Applications (9 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (4 papers). Ananth Prakash is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (4 papers). Ananth Prakash collaborates with scholars based in United Kingdom, United States and Russia. Ananth Prakash's co-authors include Juan Antonio Vizcaíno, Shengbo Wang, Yasset Pérez‐Riverol, Deepti J Kundu, Mathias Walzer, Suresh Hewapathirana, Selvakumar Kamatchinathan, Jingwen Bai, Chakradhar Bandla and David García‐Seisdedos and has published in prestigious journals such as Cell, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Ananth Prakash

18 papers receiving 4.9k citations

Hit Papers

The PRIDE database resources in 2022: a hub for mass spec... 2021 2026 2022 2024 2021 2024 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ananth Prakash United Kingdom 11 3.2k 495 480 477 386 18 4.9k
Jingwen Bai China 5 2.7k 0.9× 472 1.0× 451 0.9× 416 0.9× 349 0.9× 6 4.4k
Deepti J Kundu United Kingdom 6 2.7k 0.9× 473 1.0× 456 0.9× 452 0.9× 306 0.8× 9 4.4k
Shengbo Wang United Kingdom 5 2.7k 0.9× 472 1.0× 454 0.9× 430 0.9× 306 0.8× 6 4.3k
Chakradhar Bandla United Kingdom 4 2.7k 0.8× 472 1.0× 451 0.9× 417 0.9× 306 0.8× 6 4.3k
David García‐Seisdedos Spain 10 2.6k 0.8× 441 0.9× 439 0.9× 431 0.9× 297 0.8× 16 4.2k
Suresh Hewapathirana United Kingdom 2 2.7k 0.8× 472 1.0× 451 0.9× 412 0.9× 307 0.8× 6 4.3k
Selvakumar Kamatchinathan United Kingdom 3 2.7k 0.8× 472 1.0× 451 0.9× 413 0.9× 306 0.8× 5 4.3k
Mathias Walzer Germany 13 3.2k 1.0× 518 1.0× 467 1.0× 796 1.7× 316 0.8× 20 4.9k
Dorothea Busse Germany 6 3.6k 1.2× 662 1.3× 444 0.9× 624 1.3× 247 0.6× 7 5.1k
Tobias Ternent United Kingdom 8 2.6k 0.8× 369 0.7× 359 0.7× 731 1.5× 348 0.9× 9 3.9k

Countries citing papers authored by Ananth Prakash

Since Specialization
Citations

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

Fields of papers citing papers by Ananth Prakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ananth Prakash

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

All Works

18 of 18 papers shown
1.
Prakash, Ananth, et al.. (2025). Integrated View of Baseline Protein Expression in Human Tissues Using Public Data Independent Acquisition Data Sets. Journal of Proteome Research. 24(2). 685–695. 1 indexed citations
2.
Pérez‐Riverol, Yasset, Chakradhar Bandla, Deepti J Kundu, et al.. (2024). The PRIDE database at 20 years: 2025 update. Nucleic Acids Research. 53(D1). D543–D553. 375 indexed citations breakdown →
3.
Prakash, Ananth, et al.. (2024). Integrated meta-analysis of colorectal cancer public proteomic datasets for biomarker discovery and validation. PLoS Computational Biology. 20(1). e1011828–e1011828. 8 indexed citations
4.
D’Addabbo, Pietro, Roni Cohen‐Fultheim, Domenico Alessandro Silvestris, et al.. (2024). REDIportal: toward an integrated view of the A-to-I editing. Nucleic Acids Research. 53(D1). D233–D242. 3 indexed citations
5.
Wang, Shengbo, Ananth Prakash, Silvie Fexová, et al.. (2024). Integrated Proteomics Analysis of Baseline Protein Expression in Pig Tissues. Journal of Proteome Research. 23(6). 1948–1959. 4 indexed citations
6.
Ramsbottom, Kerry A., Ananth Prakash, Yasset Pérez‐Riverol, et al.. (2024). Meta-Analysis of Rice Phosphoproteomics Data to Understand Variation in Cell Signaling Across the Rice Pan-Genome. Journal of Proteome Research. 23(7). 2518–2531. 5 indexed citations
7.
Camacho, Oscar M., Kerry A. Ramsbottom, Ananth Prakash, et al.. (2024). Phosphorylation in the Plasmodium falciparum Proteome: A Meta-Analysis of Publicly Available Data Sets. Journal of Proteome Research. 23(12). 5326–5341. 1 indexed citations
8.
Walzer, Mathias, David García‐Seisdedos, Ananth Prakash, et al.. (2022). Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas. Scientific Data. 9(1). 335–335. 16 indexed citations
9.
Wang, Shengbo, David García‐Seisdedos, Ananth Prakash, et al.. (2022). Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues. PLoS Computational Biology. 18(6). e1010174–e1010174. 9 indexed citations
10.
Prakash, Ananth, David García‐Seisdedos, Shengbo Wang, et al.. (2022). Integrated View of Baseline Protein Expression in Human Tissues. Journal of Proteome Research. 22(3). 729–742. 12 indexed citations
11.
Ramsbottom, Kerry A., Ananth Prakash, Yasset Pérez‐Riverol, et al.. (2022). Method for Independent Estimation of the False Localization Rate for Phosphoproteomics. Journal of Proteome Research. 21(7). 1603–1615. 16 indexed citations
12.
Pérez‐Riverol, Yasset, Jingwen Bai, Chakradhar Bandla, et al.. (2021). The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Research. 50(D1). D543–D552. 3918 indexed citations breakdown →
13.
Trendel, Jakob, Thomas Schwarzl, Rastislav Horos, et al.. (2018). The Human RNA-Binding Proteome and Its Dynamics during Translational Arrest. Cell. 176(1-2). 391–403.e19. 280 indexed citations
14.
Panni, Simona, Ananth Prakash, Alex Bateman, & Sandra Orchard. (2017). The yeast noncoding RNA interaction network. RNA. 23(10). 1479–1492. 16 indexed citations
15.
Prakash, Ananth, et al.. (2017). The HMMER Web Server for Protein Sequence Similarity Search. Current Protocols in Bioinformatics. 60(1). 3.15.1–3.15.23. 143 indexed citations
16.
Prakash, Ananth & Alex Bateman. (2015). Domain atrophy creates rare cases of functional partial protein domains. Genome Biology. 16(1). 88–88. 18 indexed citations
17.
Prakash, Ananth, Gunaseelan Goldsmith, & N. Yathindra. (2013). An innate twist between Crick’s wobble and Watson-Crick base pairs. RNA. 19(8). 1038–1053. 32 indexed citations
18.
Prakash, Ananth, et al.. (2011). Protein Domain of Unknown Function 3233 is a Translocation Domain of Autotransporter Secretory Mechanism in Gamma proteobacteria. PLoS ONE. 6(11). e25570–e25570. 10 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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