Eva‐Lena Stattin

1.2k citations
41 papers · 719 · h-index 17

Impact in

Papers in

Eva‐Lena Stattin

40 papers receiving 696 citations

Peers

Eva‐Lena Stattin
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 230
  • Nephrology 61
  • Genetics 184
  • Rheumatology 42
  • Endocrinology, Diabetes and Metabolism 43
Replace Masaru Inoue with:
Masaru Inoue Japan
Wibke Reinhard Germany
Anabelle Opazo Saez Germany
Boris Utsch Germany
Keiichi Tamagaki Japan
Örjan Norrgård Sweden
Liby Mathew United States
G.K. van Wijngaarden Netherlands
Masatoshi Ishizaki Japan
Yoshitaka Iwazu Japan
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Citations per year

Countries citing papers authored by Eva‐Lena Stattin

Since Specialization
Citations

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

Fields of papers citing papers by Eva‐Lena Stattin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva‐Lena Stattin. 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 Eva‐Lena Stattin. The network helps show where Eva‐Lena Stattin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200186
2 200167
3 201551
4 200846
5 200741
6 201232
7 202030
8 201128
9 201025
10 201023
11 201623
12 200922
13 201222
14 201221
15 200920
16 201420
17 201918
18 200912
19 202011
20 200911

About Eva‐Lena Stattin

Eva‐Lena Stattin is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 719 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Connective tissue disorders research (7 papers), Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (3 papers), Prenatal Screening and Diagnostics (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (230 citations), Nephrology (61 citations), Genetics (184 citations), Rheumatology (42 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Eva‐Lena Stattin has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Susanne Rudberg, Gisela Dahlquist, Annika Winbo, Annika Rydberg, Steen M. Jensen, Ulla‐Britt Diamant, Niklas Dahl, Anna Möllsten, Johan Persson and Magnus Domellöf. Their work appears in journals such as BMC Cardiovascular Disorders, Clinical Genetics, Journal of Orthopaedic Research®, European Journal of Medical Genetics and PLoS ONE.

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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