Majken Dalgaard

2.8k citations
33 papers · 2.4k · h-index 21

Impact in

Papers in

Majken Dalgaard

33 papers receiving 2.4k citations

Peers

Majken Dalgaard
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 1.8k
  • Cancer Research 474
  • Pollution 339
  • Reproductive Medicine 156
  • Chemical Health and Safety 13
Replace Christine Nellemann with:
Christine Nellemann Denmark
Sofie Christiansen Denmark
Marta Axelstad Denmark
Camilla Taxvig Denmark
Johnathan Furr United States
Christy R. Lambright United States
Chad R. Blystone United States
Soon Young Han South Korea
José-Manuel Molina-Molina Spain
Ewa Ł. Gregoraszczuk Poland
Majken Dalgaard relative to Christine Nellemann Denmark Christine Nellemann's profile →
Citations per field
00.5×1.5×
Christine Nellemann · 1×
Citations per year

Countries citing papers authored by Majken Dalgaard

Since Specialization
Citations

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

Fields of papers citing papers by Majken Dalgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Majken Dalgaard, 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 Majken Dalgaard Line = papers co-authored together Majken Dalgaard 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 2007217
2 2006210
3 2006176
4 2007165
5 2009164
6 2008164
7 2010147
8 2005140
9 2010127
10 2005113
11 2004107
12 2006105
13 2001100
14 200488
15 200772
16 200367
17 200150
18 200446
19 200335
20 200133

About Majken Dalgaard

Majken Dalgaard is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Pediatrics, Perinatology and Child Health, Plant Science and Molecular Biology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (25 papers), Carcinogens and Genotoxicity Assessment (10 papers), Toxic Organic Pollutants Impact (7 papers), Birth, Development, and Health (4 papers), Estrogen and related hormone effects (3 papers), Pesticide Exposure and Toxicity (3 papers), Diet and metabolism studies (2 papers) and Clusterin in disease pathology (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.8k citations), Cancer Research (474 citations), Pollution (339 citations), Reproductive Medicine (156 citations) and Chemical Health and Safety (13 citations). Majken Dalgaard has collaborated with scholars based in Denmark, Finland and United Kingdom. Frequent co-authors include Anne Marie Vinggaard, Marta Axelstad, Ulla Hass, Sofie Christiansen, Stine Broeng Metzdorff, Christine Nellemann, Julie Boberg, Leon J. S. Brokken, Ole Ladefoged and Martin Scholze. Their work appears in journals such as Reproductive Toxicology, Toxicology and Applied Pharmacology, Toxicological Sciences, Toxicology and Toxicology Letters.

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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