Beata Werne Solnestam

791 citations
10 papers · 484 indexed · h-index 8
Topics
Advanced biosensing and bioanalysis techniques (4 papers)RNA Research and Splicing (2 papers)RNA modifications and cancer (2 papers)
Partner nations
SwedenNetherlandsSpain

In The Last Decade

Beata Werne Solnestam

10 papers receiving 482 citations

Peers

Beata Werne Solnestam
Comparison fields: 5 of 84
  • Molecular Biology 216
  • Cellular and Molecular Neuroscience 141
  • Pathology and Forensic Medicine 121
  • Developmental Neuroscience 68
  • Neurology 60
Replace Caroline C. Picoli with:
Caroline C. Picoli Brazil
Yatma Gueye France
Haley E. Titus United States
Mary Lynn T. Mercado United States
Yanyun Yin China
Shuisheng Yu China
Walison N. Silva Brazil
И. И. Салафутдинов Russia
Liqiang Zhou China
Beatrice Sandner Germany
Beata Werne Solnestam relative to Caroline C. Picoli Brazil Caroline C. Picoli's profile →
Citations per field
00.5×10×20×30×36×
Caroline C. Picoli · 1×
Citations per year

Countries citing papers authored by Beata Werne Solnestam

Since Specialization
Citations

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

Fields of papers citing papers by Beata Werne Solnestam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beata Werne Solnestam. 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 Beata Werne Solnestam. The network helps show where Beata Werne Solnestam may publish in the future.

Co-authorship network of co-authors of Beata Werne Solnestam

This figure shows the co-authorship network connecting the top 25 collaborators of Beata Werne Solnestam. A scholar is included among the top collaborators of Beata Werne Solnestam 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 Beata Werne Solnestam. Beata Werne Solnestam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 268
2 16
3 48
4 38
5 22
6 7
7 14
8 36
9 2
10 33

About Beata Werne Solnestam

Beata Werne Solnestam is a scholar working on Developmental Neuroscience, Cancer Research and Molecular Biology, having authored 10 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), RNA Research and Splicing (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (68 citations), Cellular and Molecular Neuroscience (141 citations) and Neurology (60 citations). Beata Werne Solnestam has collaborated with scholars based in Sweden, Netherlands and Spain. Frequent co-authors include Joakim Lundeberg, Hoseok Kim, Christian Göritz, Marie Carlén, David O. Dias, Daniel Holl, Jonas Frisén, Pelin Akan, Emma Lundberg and Mikael Huss. Their work appears in journals such as Cell, Analytical Chemistry and Scientific Reports.

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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