Danielle Pollock
- Health Informatics top 0.5%
- Research and Theory top 2%
- General Health Professions top 0.5%
- Health Sciences Research and Education 9
- Health Policy Implementation Science 8
- Clinical Psychology top 2%
- Grief, Bereavement, and Mental Health 18
-
- Meta-analysis and systematic reviews 21
-
- Delphi Technique in Research 15
-
- Maternal and Perinatal Health Interventions 9
-
- Health Systems, Economic Evaluations, Quality of Life 7
-
- Palliative Care and End-of-Life Issues 7
- Co-authors
- Andrea C. TriccoZachary MunnHanan KhalilChristina GodfreyMicah D.J. PetersPatricia McInerneyLyndsay AlexanderCasey Marnie
- Journals
- JBI Evidence Synthesis (19 papers)Journal of Clinical Epidemiology (9 papers)Women and Birth (8 papers)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Danielle Pollock
62 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Health Informatics 150
- Research and Theory 71
- General Health Professions 2.0k
- Issues, ethics and legal aspects 64
- Clinical Psychology 1.0k
Countries citing papers authored by Danielle Pollock
This map shows the geographic impact of Danielle Pollock'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 Danielle Pollock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Pollock more than expected).
Fields of papers citing papers by Danielle Pollock
This network shows the impact of papers produced by Danielle Pollock. 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 Danielle Pollock. The network helps show where Danielle Pollock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle Pollock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 23 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 28 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 12 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 57 | |
| 20 | 2021 | 5 |
About Danielle Pollock
Danielle Pollock is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Obstetrics and Gynecology, having authored 74 papers that have together received 6.9k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (21 papers), Grief, Bereavement, and Mental Health (18 papers), Delphi Technique in Research (15 papers), Maternal and Perinatal Health Interventions (9 papers), Health Sciences Research and Education (9 papers), Health Policy Implementation Science (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Palliative Care and End-of-Life Issues (7 papers). The work is most often cited by research in Health Informatics (150 citations), Research and Theory (71 citations) and General Health Professions (2.0k citations). Danielle Pollock has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Andrea C. Tricco, Zachary Munn, Hanan Khalil, Christina Godfrey, Micah D.J. Peters, Patricia McInerney, Lyndsay Alexander, Casey Marnie, Ashrita Saran and Cindy Stern. Their work appears in journals such as JBI Evidence Synthesis, Journal of Clinical Epidemiology, Women and Birth, Research Synthesis Methods and BMJ evidence-based medicine.
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.