Karin S. Åkerfeldt
- Molecular Biology top 10%
- Biomaterials top 5%
- Organic Chemistry top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Robert FairmanWilliam F. DeGradoSara LinseLaura A. ChungZelda R. WassermanEva ThulinJohn T. GrovesRonald M. Kim
- Topics
- Protein Structure and Dynamics (8 papers)Mass Spectrometry Techniques and Applications (5 papers)Supramolecular Self-Assembly in Materials (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Karin S. Åkerfeldt
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 867
- Biomaterials 339
- Organic Chemistry 233
- Materials Chemistry 219
- Cellular and Molecular Neuroscience 141
Countries citing papers authored by Karin S. Åkerfeldt
This map shows the geographic impact of Karin S. Åkerfeldt'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 Karin S. Åkerfeldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin S. Åkerfeldt more than expected).
Fields of papers citing papers by Karin S. Åkerfeldt
This network shows the impact of papers produced by Karin S. Åkerfeldt. 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 Karin S. Åkerfeldt. The network helps show where Karin S. Åkerfeldt may publish in the future.
Co-authorship network of co-authors of Karin S. Åkerfeldt
This figure shows the co-authorship network connecting the top 25 collaborators of Karin S. Åkerfeldt. A scholar is included among the top collaborators of Karin S. Åkerfeldt 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 Karin S. Åkerfeldt. Karin S. Åkerfeldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 38 | |
| 5 | 14 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 125 | |
| 9 | 6 | |
| 10 | 45 | |
| 11 | 195 | |
| 12 | 16 | |
| 13 | 43 | |
| 14 | 15 | |
| 15 | 103 | |
| 16 | 12 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | 127 | |
| 20 | 8 |
About Karin S. Åkerfeldt
Karin S. Åkerfeldt is a scholar working on Spectroscopy, Molecular Medicine and Biomaterials, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Mass Spectrometry Techniques and Applications (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). The work is most often cited by research in Biomaterials (339 citations), Molecular Biology (867 citations) and Microbiology (67 citations). Karin S. Åkerfeldt has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Robert Fairman, William F. DeGrado, Sara Linse, Laura A. Chung, Zelda R. Wasserman, Eva Thulin, John T. Groves, Ronald M. Kim, Daniel M. Camac and Tord Berggård. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.