Connor A. Emdin
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- Blood Pressure and Hypertension Studies 9
- Heart Failure Treatment and Management 8
- Atrial Fibrillation Management and Outcomes 7
- Heart Rate Variability and Autonomic Control 6
- Cardiovascular Health and Disease Prevention 5
- Nephrology top 1%
- Genetics top 1%
- Genetic Associations and Epidemiology 9
- Family Practice top 2%
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- Health Systems, Economic Evaluations, Quality of Life 5
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- Liver Disease Diagnosis and Treatment 4
Connor A. Emdin
47 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cardiology and Cardiovascular Medicine 4.3k
- Endocrinology, Diabetes and Metabolism 1.4k
- Nephrology 493
- Genetics 1.5k
- Family Practice 110
Countries citing papers authored by Connor A. Emdin
This map shows the geographic impact of Connor A. Emdin'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 Connor A. Emdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor A. Emdin more than expected).
Fields of papers citing papers by Connor A. Emdin
This network shows the impact of papers produced by Connor A. Emdin. 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 Connor A. Emdin. The network helps show where Connor A. Emdin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Connor A. Emdin, 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 | 2021 | 55 | |
| 2 | 2021 | 29 | |
| 3 | 2019 | 27 | |
| 4 | Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program | 2018 | 0 |
| 5 | 2017 | 150 | |
| 6 | 2017 | 2 | |
| 7 | AKI and Long-Term Risk for Cardiovascular Events and Mortalitybreakdown → | 2016 | 271 |
| 8 | 2016 | 18 | |
| 9 | Atrial fibrillation as risk factor for cardiovascular disease and death in women compared with men: systematic review and meta-analysis of cohort studiesbreakdown → | 2016 | 273 |
| 10 | 2015 | 38 | |
| 11 | 2015 | 37 | |
| 12 | 2015 | 22 | |
| 13 | 2015 | 137 | |
| 14 | 2015 | 30 | |
| 15 | 2015 | 17 | |
| 16 | 2015 | 97 | |
| 17 | 2015 | 31 | |
| 18 | 2015 | 16 | |
| 19 | 2015 | 14 | |
| 20 | 2011 | 24 |
About Connor A. Emdin
Connor A. Emdin is a scholar working on Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty and Internal Medicine, having authored 48 papers that have together received 9.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Genetic Associations and Epidemiology (9 papers), Heart Failure Treatment and Management (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Cardiovascular Health and Disease Prevention (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.3k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Nephrology (493 citations). Connor A. Emdin has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Amit V. Khera, Sekar Kathiresan, Kazem Rahimi, Thomas Callender, Simon Anderson, Ayodele Odutayo, Amit Kiran, Dena Ettehad, John Chalmers and Anthony Rodgers.
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.