Pathmanaban Ramasamy
Impact in
- Otorhinolaryngology top 10%
- Sinusitis and nasal conditions
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 4
- Machine Learning in Bioinformatics 3
- Protist diversity and phylogeny 2
- RNA Research and Splicing 2
- Metabolism, Diabetes, and Cancer 1
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Wim Vranken (7 shared papers)Alexander Miguel Monzón (1 shared paper)Federica Quaglia (1 shared paper)Nahuel Escobedo (1 shared paper)Zsuzsanna Dosztányi (1 shared paper)Norman E. Davey (1 shared paper)Gustavo Parisi (1 shared paper)Marco Necci (1 shared paper)
In The Last Decade
Pathmanaban Ramasamy
11 papers receiving 274 citations
Peers
Comparison fields: 5 of 56
- Otorhinolaryngology 25
- Molecular Biology 221
- Spectroscopy 30
- Immunology and Allergy 11
- Aging 2
Countries citing papers authored by Pathmanaban Ramasamy
This map shows the geographic impact of Pathmanaban Ramasamy'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 Pathmanaban Ramasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pathmanaban Ramasamy more than expected).
Fields of papers citing papers by Pathmanaban Ramasamy
This network shows the impact of papers produced by Pathmanaban Ramasamy. 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 Pathmanaban Ramasamy. The network helps show where Pathmanaban Ramasamy may publish in the future.
Co-authors
The 25 scholars most cited alongside Pathmanaban Ramasamy, 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 | 2020 | 149 | |
| 2 | 2022 | 25 | |
| 3 | 2018 | 24 | |
| 4 | 2020 | 23 | |
| 5 | 2016 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2018 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 1 |
About Pathmanaban Ramasamy
Pathmanaban Ramasamy is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Infectious Diseases and Surgery, having authored 11 papers that have together received 274 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Machine Learning in Bioinformatics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Protist diversity and phylogeny (2 papers), Enzyme Structure and Function (2 papers), RNA Research and Splicing (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Otorhinolaryngology (25 citations), Molecular Biology (221 citations), Spectroscopy (30 citations), Immunology and Allergy (11 citations) and Aging (2 citations). Pathmanaban Ramasamy has collaborated with scholars based in Belgium, Germany and Hungary. Frequent co-authors include Wim Vranken, Alexander Miguel Monzón, Federica Quaglia, Nahuel Escobedo, Zsuzsanna Dosztányi, Norman E. Davey, Gustavo Parisi, Marco Necci, András Hatos and Ivan Mičetić. Their work appears in journals such as Journal of Proteome Research, Nucleic Acids Research, Frontiers in Molecular Biosciences, Nature Communications and Genome Biology and Evolution.
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.