Pia Stillemark-Billton

715 citations
11 papers · 570 · h-index 9

Impact in

Papers in

Pia Stillemark-Billton

11 papers receiving 552 citations

Peers

Pia Stillemark-Billton
Comparison fields: 5 of 64
  • Biochemistry 153
  • Cell Biology 129
  • Cancer Research 100
  • Endocrinology, Diabetes and Metabolism 102
  • Molecular Biology 263
Replace David S. Calnek with:
David S. Calnek United States
Marie‐Elisabeth Samson‐Bouma France
Anke Loregger Netherlands
Jon C. Gonzales United States
Jerry Angdisen United States
Hisato Maekawa Japan
Kristin Tillison United States
Kazumi Ishimura‐Oka United States
Matteo Tardelli Austria
Pallavi Subramanian Germany
Pia Stillemark-Billton relative to David S. Calnek United States David S. Calnek's profile →
Citations per field
00.5×6.6×
David S. Calnek · 1×
Citations per year

Countries citing papers authored by Pia Stillemark-Billton

Since Specialization
Citations

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

Fields of papers citing papers by Pia Stillemark-Billton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pia Stillemark-Billton. 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 Pia Stillemark-Billton. The network helps show where Pia Stillemark-Billton may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006135
2 2018127
3 2000113
4 200944
5 200441
6 200930
7 200529
8 201028
9 201913
10 20097
11 20123

About Pia Stillemark-Billton

Pia Stillemark-Billton is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 11 papers that have together received 570 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Cardiovascular Function and Risk Factors (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Coronary Interventions and Diagnostics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Biochemistry (153 citations), Cell Biology (129 citations), Cancer Research (100 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Molecular Biology (263 citations). Pia Stillemark-Billton has collaborated with scholars based in Sweden, Australia and Japan. Frequent co-authors include Sven‐Olof Olofsson, Lennart Asp, Jan Borén, Björn Magnusson, Pontus Boström, Daniel Lindén, Germán Camejo, Annika Asplund, Caroline B. Adiels and Göran Bondjers. Their work appears in journals such as Journal of Lipid Research, Scandinavian Cardiovascular Journal, Journal of Leukocyte Biology, Biological Chemistry and Arteriosclerosis Thrombosis and Vascular Biology.

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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