Jonathan Marten
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
- Chronic Kidney Disease and Diabetes
Papers in
- Genetics 50
- Genetic Associations and Epidemiology 50
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- Cardiac electrophysiology and arrhythmias 5
- Co-authors
- Guillaume Méric (1 shared paper)Woei‐Yuh Saw (1 shared paper)Sergio Ruiz Carmona (1 shared paper)Michael Inouye (1 shared paper)Loïc Lannelongue (1 shared paper)Jason Grealey (1 shared paper)Caroline Hayward (1 shared paper)Archie I Campbell (1 shared paper)
- Journals
- Nature Genetics (14 papers)Nature Communications (6 papers)Wellcome Open Research (5 papers)Nature (5 papers)Human Molecular Genetics (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Jonathan Marten
70 papers receiving 11.7k citations
Jonathan Marten's Hit Papers
Peers
Comparison fields: 5 of 175
- Genetics 3.6k
- Nephrology 373
- Cardiology and Cardiovascular Medicine 505
- Pulmonary and Respiratory Medicine 565
- Aging 22
Countries citing papers authored by Jonathan Marten
This map shows the geographic impact of Jonathan Marten'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 Jonathan Marten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Marten more than expected).
Fields of papers citing papers by Jonathan Marten
This network shows the impact of papers produced by Jonathan Marten. 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 Jonathan Marten. The network helps show where Jonathan Marten may publish in the future.
Co-authors
The 12 scholars most cited alongside Jonathan Marten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries Hit paper breakdown → | 2018 | 1087 |
| 2 | Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits Hit paper breakdown → | 2018 | 1016 |
| 3 | Genome-wide association study identifies 74 loci associated with educational attainment Hit paper breakdown → | 2016 | 951 |
| 4 | A catalog of genetic loci associated with kidney function from analyses of a million individuals Hit paper breakdown → | 2019 | 617 |
| 5 | The power of genetic diversity in genome-wide association studies of lipids Hit paper breakdown → | 2021 | 601 |
| 6 | A saturated map of common genetic variants associated with human height Hit paper breakdown → | 2022 | 485 |
| 7 | Rare and low-frequency coding variants alter human adult height Hit paper breakdown → | 2017 | 483 |
| 8 | Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk Hit paper breakdown → | 2017 | 447 |
| 9 | Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets Hit paper breakdown → | 2023 | 446 |
| 10 | Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals Hit paper breakdown → | 2022 | 407 |
| 11 | New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries Hit paper breakdown → | 2019 | 352 |
| 12 | Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes Hit paper breakdown → | 2018 | 341 |
| 13 | 2015 | 324 | |
| 14 | Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels Hit paper breakdown → | 2019 | 310 |
| 15 | Genetic insights into biological mechanisms governing human ovarian ageing Hit paper breakdown → | 2021 | 284 |
| 16 | 2017 | 277 | |
| 17 | 2015 | 258 | |
| 18 | Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations Hit paper breakdown → | 2019 | 254 |
| 19 | 2016 | 244 | |
| 20 | 2017 | 221 |
About Jonathan Marten
Jonathan Marten is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Neurology and Nephrology, having authored 72 papers that have together received 12.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (50 papers), Cardiac electrophysiology and arrhythmias (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Smoking Behavior and Cessation (1 paper), Intracranial Aneurysms: Treatment and Complications (1 paper), Green IT and Sustainability (1 paper), Reproductive Biology and Fertility (1 paper) and Cerebrovascular and genetic disorders (1 paper). The work is most often cited by research in Genetics (3.6k citations), Nephrology (373 citations), Cardiology and Cardiovascular Medicine (505 citations), Pulmonary and Respiratory Medicine (565 citations) and Aging (22 citations). Jonathan Marten has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Guillaume Méric, Woei‐Yuh Saw, Sergio Ruiz Carmona, Michael Inouye, Loïc Lannelongue, Jason Grealey, Caroline Hayward, Archie I Campbell, Shona M. Kerr and Andrew Mark McIntosh. Their work appears in journals such as Nature Genetics, Nature Communications, Wellcome Open Research, Nature and Human Molecular Genetics.
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.