Daniel Francis

50 papers receiving 1.3k citations

Peers

Daniel Francis
Comparison fields: 5 of 162
  • Health 181
  • Cancer Research 237
  • General Health Professions 392
  • Radiation 126
  • Applied Psychology 69
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Christine Kerr France
Anthony P. Polednak United States
Mark Dignan United States
Jan Abel Olsen Norway
Jennifer Cullen United States
Anne Fleissig United Kingdom
JaneMaree Maher Australia
Thomas N. Chirikos United States
Patricia P. Rieker United States
Pamela M. McMahon United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Francis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Francis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Francis, 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 Daniel Francis Line = papers co-authored together Daniel Francis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011269
2
The Imaginary Indian: The Image of the Indian in Canadian Culture
1992194
3 2015185
4 200884
5 201675
6 201167
7
Does primary medical practitioner involvement with a specialist team improve patient outcomes? A systematic review.
200258
8 201645
9 201643
10 201342
11 198337
12 201036
13 201236
14
Scope for improvement in the quality of reporting of systematic reviews. From the Cochrane Musculoskeletal Group.
200636
15 198436
16 201833
17 201127
18 200621
19 201319
20 201418

About Daniel Francis

Daniel Francis is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Sociology and Political Science, Physiology and Cancer Research, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Physical Activity and Health (7 papers), Breast Cancer Treatment Studies (7 papers), Health Policy Implementation Science (5 papers), Obesity, Physical Activity, Diet (5 papers), Indigenous Studies and Ecology (5 papers), Canadian Identity and History (4 papers), Primary Care and Health Outcomes (4 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Health (181 citations), Cancer Research (237 citations), General Health Professions (392 citations), Radiation (126 citations) and Applied Psychology (69 citations). Daniel Francis has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Philip Baker, Brigid E Hickey, Margot Lehman, Charlie Foster, Alison Weightman, Jesus Soares, Peter Tugwell, Adrienne M See, Mark Petticrew and Erin Ueffing. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Public Health, Cambridge yearbook of European legal studies, Zoonoses and Public Health and Western Historical Quarterly.

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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