Daniel Thayer

29 papers receiving 832 citations

Peers

Daniel Thayer
Comparison fields: 5 of 139
  • Obstetrics and Gynecology 92
  • Public Health, Environmental and Occupational Health 306
  • Internal Medicine 30
  • Endocrinology, Diabetes and Metabolism 131
  • Pediatrics, Perinatology and Child Health 120
Replace Ingrid Köster with:
Ingrid Köster Germany
Michael Parker United Kingdom
Carlos Navarrete Chile
Peter E. DeWitt United States
Hans de Beer Netherlands
Gregory L. Kay United States
Elisabeth Persson Sweden
David A. Paul United States
Samantha R. Seals United States
Jill Jin United States
Daniel Thayer relative to Ingrid Köster Germany Ingrid Köster's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014145
2 201499
3 201692
4 201988
5 202056
6 201650
7 201631
8 201528
9 201427
10 201924
11 201523
12 201622
13 201822
14 201619
15 201518
16 202116
17 202015
18 201914
19 201412
20 20209

About Daniel Thayer

Daniel Thayer is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Information Systems and Management, Endocrinology, Diabetes and Metabolism and Surgery, having authored 33 papers that have together received 846 indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (10 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Diabetes Management and Research (3 papers), Data Visualization and Analytics (3 papers), Big Data Technologies and Applications (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Electronic Health Records Systems (2 papers) and Health and Medical Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (92 citations), Public Health, Environmental and Occupational Health (306 citations), Internal Medicine (30 citations), Endocrinology, Diabetes and Metabolism (131 citations) and Pediatrics, Perinatology and Child Health (120 citations). Daniel Thayer has collaborated with scholars based in United Kingdom, Denmark and Norway. Frequent co-authors include Sue Jordan, Ester Garne, Anne Vinkel Hansen, Helen Dolk, Gareth Davies, Caroline Brooks, Anne‐Marie Nybo Andersen, Kari Klungsøyr, Ronan A Lyons and Anna Pierini. Their work appears in journals such as PLoS ONE, BMJ Open, BJOG An International Journal of Obstetrics & Gynaecology, International Journal for Population Data Science and The Lancet Diabetes & Endocrinology.

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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