Jennifer A. Collister
- Genetics
- Cardiology and Cardiovascular Medicine
- Physiology
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Lei CliftonXiaonan LiuDavid J. HunterThomas J. LittlejohnsNaomi E. AllenNeo TapelaElżbieta KuźmaDanial Qureshi
- Topics
- Genetic Associations and Epidemiology (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)
- Partner nations
- United KingdomUnited StatesBotswana
In The Last Decade
Jennifer A. Collister
13 papers receiving 301 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Genetics 69
- Cardiology and Cardiovascular Medicine 60
- Physiology 56
- Molecular Biology 47
- Public Health, Environmental and Occupational Health 42
Countries citing papers authored by Jennifer A. Collister
This map shows the geographic impact of Jennifer A. Collister'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 Jennifer A. Collister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Collister more than expected).
Fields of papers citing papers by Jennifer A. Collister
This network shows the impact of papers produced by Jennifer A. Collister. 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 Jennifer A. Collister. The network helps show where Jennifer A. Collister may publish in the future.
Co-authorship network of co-authors of Jennifer A. Collister
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Collister. A scholar is included among the top collaborators of Jennifer A. Collister based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer A. Collister. Jennifer A. Collister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Integrating the environmental and genetic architectures of aging and mortalitybreakdown → | 38 |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 47 | |
| 9 | 7 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 91 | |
| 13 | 8 | |
| 14 | 37 |
About Jennifer A. Collister
Jennifer A. Collister is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 14 papers that have together received 303 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Aging (7 citations), Health Informatics (5 citations) and Geriatrics and Gerontology (11 citations). Jennifer A. Collister has collaborated with scholars based in United Kingdom, United States and Botswana. Frequent co-authors include Lei Clifton, Xiaonan Liu, David J. Hunter, Thomas J. Littlejohns, Naomi E. Allen, Neo Tapela, Elżbieta Kuźma, Danial Qureshi, Iain Turnbull and Kazem Rahimi. Their work appears in journals such as Nature Medicine, Scientific Reports and Heart.
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.