Daniel Barker

2.4k citations
93 papers · 1.8k · h-index 22

Impact in

  • Physiology top 5%
    • Asthma and respiratory diseases
    • Physical Activity and Health
    • Smoking Behavior and Cessation

Papers in

Daniel Barker

87 papers receiving 1.7k citations

Peers

Daniel Barker
Comparison fields: 5 of 120
  • Physiology 510
  • Urban Studies 67
  • General Health Professions 183
  • Pediatrics, Perinatology and Child Health 105
  • Statistics and Probability 78
Replace Anne Karen Jenum with:
Anne Karen Jenum Norway
Anne Stoddard United States
Gill Worthy United Kingdom
Emma Beard United Kingdom
Carol A. Pierannunzi United States
Arier Chi-Lun Lee New Zealand
Paul Z. Siegel United States
Jose R. Rubio Valverde Netherlands
Valérie Garès France
Odile Sauzet Germany
Daniel Barker relative to Anne Karen Jenum Norway Anne Karen Jenum's profile →
Citations per field
00.5×2×4×6×7.8×
Anne Karen Jenum · 1×
Citations per year

Countries citing papers authored by Daniel Barker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012201
2 2010135
3 2016117
4 2020101
5 202078
6 201871
7 201357
8 201956
9 202153
10 201345
11 201041
12 201330
13 201229
14 201929
15 201728
16 202227
17 201726
18 201025
19 202125
20 202124

About Daniel Barker

Daniel Barker is a scholar working on Physiology, General Health Professions, Public Health, Environmental and Occupational Health, Oncology and Epidemiology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), Smoking Behavior and Cessation (10 papers), Cancer survivorship and care (6 papers), Substance Abuse Treatment and Outcomes (5 papers), Health Policy Implementation Science (4 papers), Statistical Methods in Clinical Trials (4 papers), Global Maternal and Child Health (4 papers) and Physical Activity and Health (4 papers). The work is most often cited by research in Physiology (510 citations), Urban Studies (67 citations), General Health Professions (183 citations), Pediatrics, Perinatology and Child Health (105 citations) and Statistics and Probability (78 citations). Daniel Barker has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Patrick McElduff, Peter Gibson, Catherine Anne D’Este, Deborah Joanne Loxton, Catherine Chojenta, Michael Joseph Campbell, Kypros Kypri, Hayley A. Scott, Manohar L. Garg and Joanne M Smart. Their work appears in journals such as Implementation Science, BMJ Open, BMC Cancer, PLoS ONE and BMC 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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