Praveen Surendran
- Genetics top 2%
- Genetic Associations and Epidemiology 9
- Genomics and Rare Diseases 2
- Rheumatology top 5%
- Gastroenterology top 5%
- Physiology top 10%
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- Metabolomics and Mass Spectrometry Studies 6
- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 2
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- Blood Pressure and Hypertension Studies 2
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- Advanced Malware Detection Techniques 1
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- Tuberculosis Research and Epidemiology 1
- Co-authors
- Adam S. ButterworthJohn DaneshStephen BurgessJames R StaleyRobin YoungJames BlackshawMihir KamatBenjamin B. Sun
- Cited by
- GeneticsRheumatologyGastroenterology
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Praveen Surendran
23 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 1.1k
- Rheumatology 285
- Gastroenterology 78
- Physiology 350
- Endocrinology, Diabetes and Metabolism 211
Countries citing papers authored by Praveen Surendran
This map shows the geographic impact of Praveen Surendran'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 Praveen Surendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praveen Surendran more than expected).
Fields of papers citing papers by Praveen Surendran
This network shows the impact of papers produced by Praveen Surendran. 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 Praveen Surendran. The network helps show where Praveen Surendran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Praveen Surendran, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 76 | |
| 11 | 2022 | 59 | |
| 12 | 2022 | 19 | |
| 13 | 2018 | 0 | |
| 14 | Influence of Welding Process Parameters on Bead Geometry-A Review | 2017 | 1 |
| 15 | 2017 | 6 | |
| 16 | PhenoScanner: a database of human genotype–phenotype associationsbreakdown → | 2016 | 883 |
| 17 | 2014 | 4 | |
| 18 | 2010 | 6 | |
| 19 | 2010 | 1 | |
| 20 | Large scale production of track etch membrane (TEM) filters | 2006 | 1 |
About Praveen Surendran
Praveen Surendran is a scholar working on Genetics, Physiology and Molecular Biology, having authored 26 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Rare Diseases (2 papers), Biomedical Text Mining and Ontologies (2 papers), Blood Pressure and Hypertension Studies (2 papers), Advanced Malware Detection Techniques (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Genetics (1.1k citations), Rheumatology (285 citations) and Gastroenterology (78 citations). Praveen Surendran has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Adam S. Butterworth, John Danesh, Stephen Burgess, James R Staley, Robin Young, James Blackshaw, Mihir Kamat, Benjamin B. Sun, Ian O. Ellis and Dirk S. Paul. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.