S. Gräslund

2.4k citations
43 papers · 1.5k · h-index 21

Impact in

  • Physiology top 5%
    • Chemical Synthesis and Analysis
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
    • Biochemical and Molecular Research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques

Papers in

S. Gräslund

43 papers receiving 1.4k citations

Peers

S. Gräslund
Comparison fields: 5 of 104
  • Physiology 85
  • Molecular Biology 1.1k
  • Radiology, Nuclear Medicine and Imaging 364
  • Cell Biology 100
  • Immunology 129
Replace Matthew K. Robinson with:
Matthew K. Robinson United States
Dalia Seger Israel
Rashna Bhandari India
Martin Offterdinger Austria
Clark Q. Pan United States
Shinji Takamatsu Japan
Francis Jacob Switzerland
Danming Tang United States
Thomas Kjeldsen Denmark
B M Merrill United States
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Citations per field
00.5×1.5×2.4×
Matthew K. Robinson · 1×
Citations per year

Countries citing papers authored by S. Gräslund

Since Specialization
Citations

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

Fields of papers citing papers by S. Gräslund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011261
2 201694
3 200794
4 201582
5 200075
6 200755
7 201555
8 201551
9 201046
10 200645
11 200944
12 201843
13 201440
14 200839
15 201136
16 200235
17 201431
18 201430
19 201329
20 200925

About S. Gräslund

S. Gräslund is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Immunology and Materials Chemistry, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Biochemical and Molecular Research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Chemical Synthesis and Analysis (5 papers), Inflammatory Myopathies and Dermatomyositis (5 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (5 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Physiology (85 citations), Molecular Biology (1.1k citations), Radiology, Nuclear Medicine and Imaging (364 citations), Cell Biology (100 citations) and Immunology (129 citations). S. Gräslund has collaborated with scholars based in Sweden, Canada and United States. Frequent co-authors include Karen Colwill, P. Nordlund, M. Hammarstrom, S. Flodin, P. Loppnau, H. Schüler, T. Nyman, Christer Höög, D. William Cameron and Pål Stenmark. Their work appears in journals such as Journal of Biological Chemistry, Proteins Structure Function and Bioinformatics, Lara D. Veeken, New Biotechnology and Nature Methods.

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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