Venexia Walker
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
Papers in
- Genetics 9
- Genetic Associations and Epidemiology 9
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 2
- Co-authors
- Neil M Davies (13 shared papers)Richard M. Martin (6 shared papers)George Davey Smith (7 shared papers)Patrick G. Kehoe (5 shared papers)Angela Wood (6 shared papers)Jonathan A C Sterne (7 shared papers)Cathie Sudlow (7 shared papers)Spiros Denaxas (7 shared papers)
- Journals
- International Journal of Epidemiology (4 papers)BMJ (3 papers)Diabetologia (2 papers)Epidemiology (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Venexia Walker
34 papers receiving 753 citations
Peers
Comparison fields: 5 of 100
- Genetics 168
- Health Informatics 6
- Infectious Diseases 69
- Endocrinology, Diabetes and Metabolism 54
- Cardiology and Cardiovascular Medicine 67
Countries citing papers authored by Venexia Walker
This map shows the geographic impact of Venexia Walker'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 Venexia Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venexia Walker more than expected).
Fields of papers citing papers by Venexia Walker
This network shows the impact of papers produced by Venexia Walker. 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 Venexia Walker. The network helps show where Venexia Walker may publish in the future.
Co-authors
The 25 scholars most cited alongside Venexia Walker, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 132 | |
| 2 | 2021 | 96 | |
| 3 | 2022 | 67 | |
| 4 | 2019 | 58 | |
| 5 | 2022 | 52 | |
| 6 | 2021 | 40 | |
| 7 | 2023 | 35 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2017 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2022 | 10 |
About Venexia Walker
Venexia Walker is a scholar working on Genetics, Infectious Diseases, Surgery, Statistics and Probability and Molecular Biology, having authored 38 papers that have together received 760 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Advanced Causal Inference Techniques (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), COVID-19 Clinical Research Studies (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Genetics (168 citations), Health Informatics (6 citations), Infectious Diseases (69 citations), Endocrinology, Diabetes and Metabolism (54 citations) and Cardiology and Cardiovascular Medicine (67 citations). Venexia Walker has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Neil M Davies, Richard M. Martin, George Davey Smith, Patrick G. Kehoe, Angela Wood, Jonathan A C Sterne, Cathie Sudlow, Spiros Denaxas, William Whiteley and Samantha Ip. Their work appears in journals such as International Journal of Epidemiology, BMJ, Diabetologia, Epidemiology and Arteriosclerosis Thrombosis and Vascular Biology.
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.