Elisabeth Widén

22.8k citations
28 papers · 1.2k indexed · 1 hit paper · h-index 13

Elisabeth Widén

26 papers receiving 1.2k citations

Hit Papers

Genome-wide association analysis of plasma lipidome ident...1032023202620242025255075100

Peers

Elisabeth Widén
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 124
  • Physiology 434
  • Reproductive Medicine 112
  • Genetics 321
  • Endocrinology, Diabetes and Metabolism 175
Replace Josef Včelák with:
Josef Včelák Czechia
Kerry J. McInnes United Kingdom
Leah Holloway United States
Cathy C. Lee United States
Fumihiko Kurimoto Japan
Ina Knerr Germany
Christian Djurhuus Denmark
Catherine Le Stunff France
Mathijs C. Bunck Netherlands
Carina Ankarberg‐Lindgren Sweden
Elisabeth Widén relative to Josef Včelák Czechia Josef Včelák's profile →
Citations per field
00.5×1.5×2.1×
Josef Včelák · 1×
Citations per year

Countries citing papers authored by Elisabeth Widén

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Widén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 20248
4 20241
5 202238
6 20227
7 202269
8 202277
9 202055
10 20197
11
Assessment of multifactorial coronary artery disease by utilizing genomic data.
20180
12 201539
13 20155
14 201296
15 201214
16 200736
17 20044
18 200311
19
Familial systemic lupus erythematosus in Finland.
200136
20 1995452

About Elisabeth Widén

Elisabeth Widén is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), BRCA gene mutations in cancer (4 papers), Cancer, Lipids, and Metabolism (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Genomics and Rare Diseases (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (124 citations), Physiology (434 citations) and Reproductive Medicine (112 citations). Elisabeth Widén has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Timo Kanninen, Markku Lehto, Jeremy Walston, Alan R. Shuldiner, L. Groop, Aarno Palotie, Samuli Ripatti, Jaakko Kaprio, Sanni Ruotsalainen and Nina Mars. Their work appears in journals such as The American Journal of Human Genetics, British Journal of Cancer, European Journal of Human Genetics, New Biotechnology and Journal of the American Heart Association.

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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2026