Mads D.M. Engelmann

2.1k citations
23 papers · 1.4k indexed · 2 hit papers · h-index 12

Mads D.M. Engelmann

21 papers receiving 1.4k citations

Hit Papers

IL-6 inhibition with ziltivekimab in patients at high ath...202120262022202420212025100200300400

Peers

Mads D.M. Engelmann
Comparison fields: 5 of 97
  • Cardiology and Cardiovascular Medicine 471
  • Epidemiology 270
  • Immunology 264
  • Surgery 247
  • Nutrition and Dietetics 244
Replace Daniele Longo with:
Daniele Longo United States
Jessie Shih United States
Pedro Valdivielso Spain
P B Rylance United Kingdom
John‐Bjarne Hansen Norway
A. E. Evans United Kingdom
Mireia Junyent Spain
Sridhar Chilimuri United States
Y. Chandrashekhar United States
Henrik F. Thomsen Denmark
Mads D.M. Engelmann relative to Daniele Longo United States Daniele Longo's profile →
Citations per field
00.5×10.1×
Daniele Longo · 1×
Citations per year

Countries citing papers authored by Mads D.M. Engelmann

Since Specialization
Citations

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

Fields of papers citing papers by Mads D.M. Engelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mads D.M. Engelmann. 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 Mads D.M. Engelmann. The network helps show where Mads D.M. Engelmann may publish in the future.

Co-authorship network of co-authors of Mads D.M. Engelmann

This figure shows the co-authorship network connecting the top 25 collaborators of Mads D.M. Engelmann. A scholar is included among the top collaborators of Mads D.M. Engelmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mads D.M. Engelmann. Mads D.M. Engelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4
Oral Semaglutide and Cardiovascular Outcomes in High-Risk Type 2 Diabetesbreakdown →
89
5 81
6 1
7 10
8
IL-6 inhibition with ziltivekimab in patients at high atherosclerotic risk (RESCUE): a double-blind, randomised, placebo-controlled, phase 2 trialbreakdown →
433
9 327
10 26
11 53
12 49
13 3
14 1
15 55
16 5
17 81
18 64
19 97
20 1

About Mads D.M. Engelmann

Mads D.M. Engelmann is a scholar working on Nutrition and Dietetics, Hematology and Internal Medicine, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), Child Nutrition and Water Access (3 papers) and Infant Nutrition and Health (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (471 citations), Nutrition and Dietetics (244 citations) and Immunology (264 citations). Mads D.M. Engelmann has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Jesper Hastrup Svendsen, Kim F. Michaelsen, G. Kees Hovingh, Brittmarie Sandström, Florian M.M. Baeres, Paul M. Ridker, Douglas Kling, Pablo E. Pérgola, Dominic S. Raj and Matt Devalaraja. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.

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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