Hannah Long

13 papers receiving 890 citations

Hannah Long's Hit Papers

Optimising the value of the critical appraisal skills programme (CASP) tool for quality appraisal in qualitative evidence synthesis 2020 · 744 citations
7440+2+4Years since publication200400600

Peers

Hannah Long
Comparison fields: 5 of 126
  • Health Informatics 10
  • General Health Professions 152
  • Clinical Psychology 114
  • Family Practice 9
  • Applied Psychology 20
Replace Abukari Kwame with:
Abukari Kwame Canada
Melissa Girling United Kingdom
Érica Brandão de Moraes Brazil
Pamela Kirkpatrick United Kingdom
Anice George India
Lambrini Kourkouta Greece
Christos Kleisiaris Greece
Masoud Mohammadnezhad Fiji
Judith Carrier United Kingdom
Anna Collard United Kingdom
Hannah Long relative to Abukari Kwame Canada Abukari Kwame's profile →
Citations per field
00.5×5.9×
Abukari Kwame · 1×
Citations per year

Countries citing papers authored by Hannah Long

Since Specialization
Citations

This map shows the geographic impact of Hannah Long'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 Hannah Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Long more than expected).

Fields of papers citing papers by Hannah Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Hannah Long, 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 Hannah Long Line = papers co-authored together Hannah Long links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Optimising the value of the critical appraisal skills programme (CASP) tool for quality appraisal in qualitative evidence synthesis
Hit paper breakdown →
2020744
2 201970
3 201947
4 201828
5 201712
6 201912
7 20194
8 20242
9 20202
10 20212
11 20241
12 20251
13 20251
14 20250

About Hannah Long

Hannah Long is a scholar working on Oncology, General Health Professions, Pulmonary and Respiratory Medicine, Experimental and Cognitive Psychology and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 926 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (4 papers), Mobile Health and mHealth Applications (2 papers), Health Policy Implementation Science (1 paper), Primary Care and Health Outcomes (1 paper), Sleep and Work-Related Fatigue (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Meta-analysis and systematic reviews (1 paper) and Cancer survivorship and care (1 paper). The work is most often cited by research in Health Informatics (10 citations), General Health Professions (152 citations), Clinical Psychology (114 citations), Family Practice (9 citations) and Applied Psychology (20 citations). Hannah Long has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include David French, Joanna Brooks, Kelly Howells, Amy Blakemore, Sarah Peters, Anthony Maxwell, Michelle Harvie, Yvonne Kiera Bartlett, Andrew Farmer and Suzanne M. Skevington. Their work appears in journals such as Quality of Life Research, British Journal of Cancer, Journal of Medical Internet Research, Scandinavian Journal of Work Environment & Health and Health Psychology and Behavioral 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.

Explore authors with similar magnitude of impact