Daniel Barker

99 papers receiving 1.8k citations

Peers

Daniel Barker
Comparison fields: 5 of 163
  • Modeling and Simulation 98
  • Physiology 392
  • General Health Professions 326
  • Public Health, Environmental and Occupational Health 352
  • Pediatrics, Perinatology and Child Health 185
Replace Vasilis Kontis with:
Vasilis Kontis United Kingdom
Katy Bell Australia
Marie‐Pierre Sylvestre Canada
Vaughn Barry United States
Kristina Vatcheva United States
Rosalba Rosato Italy
Lijun Wang China
Karl‐Heinz Jöckel Germany
Gernot Wagner Austria
Matthew J. Hayat United States
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Citations per field
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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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012167
2 2010121
3 2016102
4 202087
5 202073
6 202067
7 201857
8 201354
9 201951
10 200850
11 201243
12 201343
13 202143
14 201040
15 201640
16 200637
17 201329
18 202128
19 201927
20 201726

About Daniel Barker

Daniel Barker is a scholar working on Physiology, Public Health, Environmental and Occupational Health, General Health Professions, Pulmonary and Respiratory Medicine and Surgery, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (15 papers), Smoking Behavior and Cessation (9 papers), Obesity, Physical Activity, Diet (8 papers), IL-33, ST2, and ILC Pathways (6 papers), Global Maternal and Child Health (5 papers), Eosinophilic Esophagitis (5 papers), Cancer survivorship and care (5 papers) and Health Policy Implementation Science (5 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Physiology (392 citations), General Health Professions (326 citations), Public Health, Environmental and Occupational Health (352 citations) and Pediatrics, Perinatology and Child Health (185 citations). Daniel Barker has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Patrick McElduff, Catherine D’Este, Peter G. Gibson, Catherine Chojenta, Girmay Tsegay Kiross, Deborah Loxton, Michael J. Campbell, Kypros Kypri, Hayley A. Scott and Joanne Smart. Their work appears in journals such as Implementation Science, BMJ Open, Nutrients, Neuromodulation Technology at the Neural Interface and The Journal of Allergy and Clinical Immunology In Practice.

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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