David Hallman

122 papers receiving 3.9k citations

Peers

David Hallman
Comparison fields: 5 of 159
  • Medical Laboratory Technology 85
  • Pharmacology 531
  • Endocrinology, Diabetes and Metabolism 462
  • Occupational Therapy 111
  • Cardiology and Cardiovascular Medicine 518
Replace Pasqualina Santaguida with:
Pasqualina Santaguida Canada
Kim Lyngby Mikkelsen Denmark
Martin Stevens Netherlands
Neil Pendleton United Kingdom
Marc T. Hamilton United States
Paddy C. Dempsey Australia
Julien S. Baker Hong Kong
Ingrid I. Riphagen Netherlands
Jeffrey B. Driban United States
Carsten Oliver Schmidt Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Hallman

Since Specialization
Citations

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

Fields of papers citing papers by David Hallman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The apolipoprotein E polymorphism: a comparison of allele frequencies and effects in nine populations.
1991447
2 1991330
3 2015158
4 2011123
5 2009109
6 2010109
7 201888
8 200587
9 201186
10 202184
11 201877
12
Homozygosity mapping, to chromosome 11p, of the gene for familial persistent hyperinsulinemic hypoglycemia of infancy.
199572
13 200769
14 201565
15 201262
16 201361
17 201761
18 200759
19 200857
20 201553

About David Hallman

David Hallman is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Social Psychology, General Health Professions and Genetics, having authored 133 papers that have together received 4.0k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (27 papers), Heart Rate Variability and Autonomic Control (17 papers), Workplace Health and Well-being (12 papers), Physical Activity and Health (12 papers), Genetic Associations and Epidemiology (11 papers), Lipoproteins and Cardiovascular Health (9 papers), Ergonomics and Musculoskeletal Disorders (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Medical Laboratory Technology (85 citations), Pharmacology (531 citations), Endocrinology, Diabetes and Metabolism (462 citations), Occupational Therapy (111 citations) and Cardiology and Cardiovascular Medicine (518 citations). David Hallman has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Svend Erik Mathiassen, Andreas Holtermann, Eric Boerwinkle, Nidhi Gupta, Eugene Lyskov, N. Saha, Gerd Utermann, C. Sandholzer, Marie Birk Jørgensen and Helena Jahncke. Their work appears in journals such as International Journal of Environmental Research and Public Health, International Archives of Occupational and Environmental Health, Scandinavian Journal of Work Environment & Health, Annals of Work Exposures and Health and BMC Public Health.

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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