Erik Granseth

1.3k citations
9 papers · 978 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Lipid Membrane Structure and Behavior
    • Machine Learning in Bioinformatics

Papers in

    • RNA and protein synthesis mechanisms 9
    • Machine Learning in Bioinformatics 5
    • Protein Structure and Dynamics 5
    • Lipid Membrane Structure and Behavior 2
    • Ion channel regulation and function 1
    • Genomics and Phylogenetic Studies 1
    • Mitochondrial Function and Pathology 1
    • Bacterial Genetics and Biotechnology 3

Erik Granseth

9 papers receiving 967 citations

Peers

Erik Granseth
Comparison fields: 5 of 80
  • Molecular Medicine 76
  • Molecular Biology 782
  • Genetics 313
  • Endocrinology 41
  • Biochemistry 49
Replace Mikaela Rapp with:
Mikaela Rapp Sweden
Mirjam Klepsch Sweden
Peter D. Pawelek Canada
Kaoru Kumazaki Japan
Jiqiang Ling United States
Ria H. Duurkens Netherlands
Milton H. Saier United States
Ruiying Wu United States
Rikki N. Hvorup United States
Saskia B. Neher United States
Erik Granseth relative to Mikaela Rapp Sweden Mikaela Rapp's profile →
Citations per field
00.5×1.5×
Mikaela Rapp · 1×
Citations per year

Countries citing papers authored by Erik Granseth

Since Specialization
Citations

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

Fields of papers citing papers by Erik Granseth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Erik Granseth, 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 Erik Granseth Line = papers co-authored together Erik Granseth links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005386
2 2006160
3 2004126
4 200797
5 200668
6 200545
7 200641
8 200733
9 200722

About Erik Granseth

Erik Granseth is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 9 papers that have together received 978 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (5 papers), Protein Structure and Dynamics (5 papers), Bacterial Genetics and Biotechnology (3 papers), Lipid Membrane Structure and Behavior (2 papers), Ion channel regulation and function (1 paper), Genomics and Phylogenetic Studies (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Molecular Medicine (76 citations), Molecular Biology (782 citations), Genetics (313 citations), Endocrinology (41 citations) and Biochemistry (49 citations). Erik Granseth has collaborated with scholars based in Sweden and Greece. Frequent co-authors include Gunnar von Heijne, Mikaela Rapp, Arne Elofsson, Daniel O. Daley, Karin Melén, Susanna Seppälä, David Drew, Håkan Viklund and Costas Papaloukas. Their work appears in journals such as Journal of Molecular Biology, Science, Bioinformatics, Protein Science and Nature Structural & Molecular 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.

Explore authors with similar magnitude of impact