Jill Darling

921 citations
28 papers · 582 indexed · h-index 15

Impact in

Papers in

Jill Darling

27 papers receiving 572 citations

Peers

Jill Darling
Comparison fields: 5 of 97
  • Health 115
  • Modeling and Simulation 55
  • General Health Professions 256
  • Clinical Psychology 142
  • Gender Studies 59
Replace Nadia N. Abuelezam with:
Nadia N. Abuelezam United States
Berkeley Franz United States
Matilde Maddaleno Chile
Joseph TF Lau Hong Kong
Ardi Findyartini Indonesia
Brian Aronson United States
Laura Lee Hall United States
Dede Kam Tyng Tham Singapore
Heidi Moseson United States
Jill Darling relative to Nadia N. Abuelezam United States Nadia N. Abuelezam's profile →
Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Jill Darling

Since Specialization
Citations

This map shows the geographic impact of Jill 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 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 Darling more than expected).

Fields of papers citing papers by Jill Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill 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 Darling. The network helps show where Jill Darling may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jill Darling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jill Darling Line = papers co-authored together Jill Darling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20241
3 20230
4 202210
5 20227
6 202188
7 202034
8 201958
9 201825
10 20183
11 201810
12 201824
13 201828
14 201820
15 20173
16 20177
17 201725
18 20152
19 20158
20 201537

About Jill Darling

Jill Darling is a scholar working on Research and Theory, Modeling and Simulation, Health, General Health Professions and Radiological and Ultrasound Technology, having authored 28 papers that have together received 582 indexed citations. Recurring topics across this work include Patient Satisfaction in Healthcare (9 papers), Primary Care and Health Outcomes (7 papers), Healthcare Policy and Management (6 papers), Healthcare professionals’ stress and burnout (4 papers), COVID-19 epidemiological studies (3 papers), Dementia and Cognitive Impairment Research (2 papers), Food Security and Health in Diverse Populations (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Health (115 citations), Modeling and Simulation (55 citations), General Health Professions (256 citations), Clinical Psychology (142 citations) and Gender Studies (59 citations). Jill Darling has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Elizabeth M. Yano, Arie Kapteyn, Ismelda Canelo, Kyla Thomas, Francisco Pérez‐Arce, Marco Angrisani, Lisa V. Rubenstein, Daniel Bennett, Lisa S. Meredith and Alison Brown. Their work appears in journals such as Women s Health Issues, Medical Care, PLoS ONE, BMJ Open and Health Services Research.

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.

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