Matthew E. Dahl

30 papers receiving 800 citations

Peers

Matthew E. Dahl
Comparison fields: 5 of 58
  • Geriatrics and Gerontology 50
  • Endocrinology, Diabetes and Metabolism 196
  • Immunology and Allergy 27
  • Applied Microbiology and Biotechnology 11
  • Toxicology 14
Replace Michele Giuseppe Tari with:
Michele Giuseppe Tari Italy
You‐Seon Nam South Korea
Kohei Ogawa Japan
Jongoh Kim United States
Arsenio H.P. Paes Netherlands
Faisal Aziz Austria
John G. Walt United States
Alessandro Pasqua Italy
Sabariah Noor Harun Malaysia
Scott Martin Vouri United States
Matthew E. Dahl relative to Michele Giuseppe Tari Italy Michele Giuseppe Tari's profile →
Citations per field
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Michele Giuseppe Tari · 1×
Citations per year

Countries citing papers authored by Matthew E. Dahl

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Dahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Dahl. 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 Matthew E. Dahl. The network helps show where Matthew E. Dahl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016184
2 201697
3 201694
4 201458
5 200635
6 200333
7 200931
8 201731
9 201629
10 201925
11 202025
12 201924
13 202122
14 202020
15 201719
16 201313
17 201912
18 200510
19 200810
20 201210

About Matthew E. Dahl

Matthew E. Dahl is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 820 indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (4 papers), Prenatal Substance Exposure Effects (3 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Diabetes Treatment and Management (3 papers), Antibiotic Use and Resistance (2 papers), Maternal Mental Health During Pregnancy and Postpartum (1 paper), COVID-19 Clinical Research Studies (1 paper) and Pharmaceutical Economics and Policy (1 paper). The work is most often cited by research in Geriatrics and Gerontology (50 citations), Endocrinology, Diabetes and Metabolism (196 citations), Immunology and Allergy (27 citations), Applied Microbiology and Biotechnology (11 citations) and Toxicology (14 citations). Matthew E. Dahl has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Pierre Ernst, Kristian B. Filion, Colin R. Dormuth, Robert William Platt, Laurent Azoulay, Laura Ellyn Targownik, John Michael Paterson, Tanvir Chowdhury Turin, Silvia Alessi‐Severini and Kristin K. Clemens. Their work appears in journals such as CMAJ Open, International Journal for Population Data Science, The Canadian Journal of Psychiatry, PEDIATRICS and PLoS ONE.

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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