Eva Åström

2.6k citations
44 papers · 1.8k · h-index 20

Impact in

  • Genetics top 2%
    • Connective tissue disorders research
    • Mesenchymal stem cell research
    • Neurogenetic and Muscular Disorders Research
    • Bone and Dental Protein Studies

Papers in

    • Connective tissue disorders research 20
    • Glycosylation and Glycoproteins Research 4
    • dental development and anomalies 2

Eva Åström

43 papers receiving 1.7k citations

Peers

Eva Åström
Comparison fields: 5 of 107
  • Genetics 349
  • Genetics 788
  • Rheumatology 309
  • Orthopedics and Sports Medicine 128
  • Oncology 318
Replace Thomas Wekerle with:
Thomas Wekerle Austria
Hye‐Soon Lee South Korea
Assia Eljaafari France
Richard D. Finkelman United States
Kris M. Mahadeo United States
Juliet McColm United States
Masue Imaizumi Japan
W. Lange Germany
Nicole Clarke United Kingdom
Anne Poliard France
Eva Åström relative to Thomas Wekerle Austria Thomas Wekerle's profile →
Citations per field
00.5×6.1×
Thomas Wekerle · 1×
Citations per year

Countries citing papers authored by Eva Åström

Since Specialization
Citations

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

Fields of papers citing papers by Eva Åström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005336
2 2002207
3 2015148
4 2013143
5 200195
6 199890
7 201180
8 200767
9 201766
10 200657
11 201455
12 201643
13 201636
14 200734
15 200732
16 201825
17 201222
18 202022
19 201021
20 202019

About Eva Åström

Eva Åström is a scholar working on Genetics, Molecular Biology, Epidemiology, Rheumatology and Oncology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Connective tissue disorders research (20 papers), Bone fractures and treatments (7 papers), Bone and Dental Protein Studies (6 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Vitamin K Research Studies (3 papers), Bone health and treatments (3 papers) and dental development and anomalies (2 papers). The work is most often cited by research in Genetics (349 citations), Genetics (788 citations), Rheumatology (309 citations), Orthopedics and Sports Medicine (128 citations) and Oncology (318 citations). Eva Åström has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include B. Malmgren, S Söderhäll, Kristina Löwing, Andreas Kindmark, Giedré Grigelioniené, Kristina Tedroff, Katarina Lindahl, Cecilia Götherström, Magnus Westgren and Uwe Ewald. Their work appears in journals such as Acta Paediatrica, Bone, PLoS ONE, Calcified Tissue International and BMC Musculoskeletal Disorders.

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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