Jill E. Darling
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Primary Care and Health Outcomes 7
- Food Security and Health in Diverse Populations 3
- Healthcare professionals’ stress and burnout 1
-
- COVID-19 epidemiological studies 2
- Co-authors
- Elizabeth Martin Yano (14 shared papers)Arie Kapteyn (9 shared papers)Ismelda A. Canelo (10 shared papers)Kyla Thomas (3 shared papers)Francisco Pérez‐Arce (2 shared papers)Marco Angrisani (2 shared papers)Daniel L. Bennett (2 shared papers)Lisa V. Rubenstein (7 shared papers)
- Journals
- Women s Health Issues (7 papers)Medical Care (2 papers)PLoS ONE (2 papers)Nature Human Behaviour (1 paper)BMJ Open (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Jill E. Darling
29 papers receiving 631 citations
Peers
Comparison fields: 5 of 86
- Health 88
- Modeling and Simulation 48
- General Health Professions 171
- Research and Theory 5
- Clinical Psychology 113
Countries citing papers authored by Jill E. Darling
This map shows the geographic impact of Jill E. Darling'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 E. Darling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jill E. Darling more than expected).
Fields of papers citing papers by Jill E. Darling
This network shows the impact of papers produced by Jill E. Darling. 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 E. Darling. The network helps show where Jill E. Darling may publish in the future.
Co-authors
The 25 scholars most cited alongside Jill E. Darling, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2020 | 64 | |
| 3 | 2019 | 63 | |
| 4 | 2018 | 41 | |
| 5 | 2015 | 41 | |
| 6 | 2020 | 35 | |
| 7 | 2015 | 34 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 1988 | 24 | |
| 13 | 2018 | 23 | |
| 14 | 2022 | 21 | |
| 15 | 2019 | 17 | |
| 16 | 2024 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2022 | 9 | |
| 20 | The changing role of the trainer | 1999 | 9 |
About Jill E. Darling
Jill E. Darling is a scholar working on General Health Professions, Modeling and Simulation, Research and Theory, Clinical Psychology and Pharmacy, having authored 30 papers that have together received 658 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (7 papers), Food Security and Health in Diverse Populations (3 papers), COVID-19 epidemiological studies (2 papers), COVID-19 and Mental Health (2 papers), Complex Systems and Time Series Analysis (1 paper), Writing and Handwriting Education (1 paper), Healthcare professionals’ stress and burnout (1 paper) and Nursing education and management (1 paper). The work is most often cited by research in Health (88 citations), Modeling and Simulation (48 citations), General Health Professions (171 citations), Research and Theory (5 citations) and Clinical Psychology (113 citations). Jill E. Darling has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Elizabeth Martin Yano, Arie Kapteyn, Ismelda A. Canelo, Kyla Thomas, Francisco Pérez‐Arce, Marco Angrisani, Daniel L. Bennett, Lisa V. Rubenstein, Lisa S. Meredith and Wändi Bruine de Bruin. Their work appears in journals such as Women s Health Issues, Medical Care, PLoS ONE, Nature Human Behaviour and BMJ Open.
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.