Jill M. Pulley
- Genetics top 2%
- Molecular Biology top 10%
- Pharmacology top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Joshua C. DennyDan M. RodenDana C. CrawfordMelissa BasfordMarylyn D. RitchieDaniel R. MasysDan MasysKristin Brown‐Gentry
- Topics
- Ethics in Clinical Research (18 papers)Pharmacogenetics and Drug Metabolism (12 papers)Genetic Associations and Epidemiology (12 papers)
- Journals
- CirculationNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Jill M. Pulley
76 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Genetics 1.1k
- Molecular Biology 893
- Pharmacology 802
- Public Health, Environmental and Occupational Health 746
- Pediatrics, Perinatology and Child Health 496
Countries citing papers authored by Jill M. Pulley
This map shows the geographic impact of Jill M. Pulley'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 Jill M. Pulley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jill M. Pulley more than expected).
Fields of papers citing papers by Jill M. Pulley
This network shows the impact of papers produced by Jill M. Pulley. 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 Jill M. Pulley. The network helps show where Jill M. Pulley may publish in the future.
Co-authorship network of co-authors of Jill M. Pulley
This figure shows the co-authorship network connecting the top 25 collaborators of Jill M. Pulley. A scholar is included among the top collaborators of Jill M. Pulley 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 Jill M. Pulley. Jill M. Pulley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 15 | |
| 7 | 30 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | 259 | |
| 14 | PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associationsbreakdown → | 703 |
| 15 | 76 | |
| 16 | 3 | |
| 17 | Abstract 2684: Modulators of Normal ECG Intervals Identified in a large Electronic Medical Record | 1 |
| 18 | 6 | |
| 19 | 13 | |
| 20 | 8 |
About Jill M. Pulley
Jill M. Pulley is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Statistics and Probability, having authored 81 papers that have together received 3.7k indexed citations. Recurring topics across this work include Ethics in Clinical Research (18 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Genetic Associations and Epidemiology (12 papers). The work is most often cited by research in Pharmacology (802 citations), Health Information Management (201 citations) and Genetics (1.1k citations). Jill M. Pulley has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Joshua C. Denny, Dan M. Roden, Dana C. Crawford, Melissa Basford, Marylyn D. Ritchie, Daniel R. Masys, Dan Masys, Kristin Brown‐Gentry, Gordon R. Bernard and Lisa Bastarache. Their work appears in journals such as Circulation, Nature Medicine and SHILAP Revista de lepidopterología.
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.