Ananth Prakash
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- Metabolomics and Mass Spectrometry Studies 4
- Molecular Biology Techniques and Applications 4
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 2
- Cell Biology top 2%
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 3
- Aging top 5%
- Immunology top 5%
- Co-authors
- Juan Antonio VizcaínoShengbo WangDeepti J KunduYasset Pérez‐RiverolMathias WalzerSelvakumar KamatchinathanSuresh HewapathiranaChakradhar Bandla
- Journals
- Journal of Proteome Research (6 papers)Nucleic Acids Research (3 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Ananth Prakash
18 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.2k
- Cell Biology 480
- Spectroscopy 477
- Aging 45
- Immunology 495
Countries citing papers authored by Ananth Prakash
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
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
The 25 scholars most cited alongside Ananth Prakash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | The PRIDE database at 20 years: 2025 updatebreakdown → | 2024 | 375 |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 16 | |
| 12 | The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidencesbreakdown → | 2021 | 3918 |
| 13 | 2018 | 280 | |
| 14 | 2017 | 16 | |
| 15 | 2017 | 143 | |
| 16 | 2015 | 18 | |
| 17 | 2013 | 32 | |
| 18 | 2011 | 10 |
About Ananth Prakash
Ananth Prakash is a scholar working on Spectroscopy, Molecular Biology and Endocrinology, having authored 18 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Molecular Biology Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cell Biology (480 citations) and Spectroscopy (477 citations). Ananth Prakash has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Juan Antonio Vizcaíno, Shengbo Wang, Deepti J Kundu, Yasset Pérez‐Riverol, Mathias Walzer, Selvakumar Kamatchinathan, Suresh Hewapathirana, Chakradhar Bandla, Jingwen Bai and David García‐Seisdedos. Their work appears in journals such as Journal of Proteome Research, Nucleic Acids Research, PLoS Computational Biology, RNA and Scientific Data.
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.