Else‐Marie Dalsgaard

636 citations
23 papers · 443 · h-index 11

Impact in

Papers in

Else‐Marie Dalsgaard

23 papers receiving 433 citations

Peers

Else‐Marie Dalsgaard
Comparison fields: 5 of 61
  • Health Informatics 12
  • Endocrinology, Diabetes and Metabolism 120
  • Physiology 108
  • Neurology 53
  • Clinical Biochemistry 17
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Fang Ye China
Lijin Ji China
Shubha Gundmi India
Laura Gaiţă Romania
R.P. Agrawal India
J.‐P. Le Floch France
Charlotte Höybye Sweden
Laurie Mereu Canada
ARTHUR W. CHISHOLM Canada
Abimbola Akomolafe United States
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Citations per field
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Citations per year

Countries citing papers authored by Else‐Marie Dalsgaard

Since Specialization
Citations

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

Fields of papers citing papers by Else‐Marie Dalsgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Else‐Marie Dalsgaard. 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 Else‐Marie Dalsgaard. The network helps show where Else‐Marie Dalsgaard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018185
2 201440
3 201934
4 201526
5 200920
6 201020
7 201819
8 202215
9 202214
10 201813
11 201410
12 201910
13 20128
14 20204
15 20184
16 20203
17 20193
18 20213
19 20193
20 20243

About Else‐Marie Dalsgaard

Else‐Marie Dalsgaard is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Epidemiology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 23 papers that have together received 443 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), Health Promotion and Cardiovascular Prevention (4 papers), Chronic Disease Management Strategies (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Artificial Intelligence in Healthcare (1 paper), Diabetes Management and Research (1 paper), Cardiac Health and Mental Health (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Health Informatics (12 citations), Endocrinology, Diabetes and Metabolism (120 citations), Physiology (108 citations), Neurology (53 citations) and Clinical Biochemistry (17 citations). Else‐Marie Dalsgaard has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Annelli Sandbæk, Torsten Lauritzen, Daniel R. Witte, Morten Charles, Mette Vinther Skriver, Signe T. Andersen, Mogens Vestergaard, Henning Andersen, Eva L. Feldman and Nanna Brix Finnerup. Their work appears in journals such as Primary care diabetes, Diabetic Medicine, BMJ Open, PLoS ONE and BJGP Open.

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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