Peter Åkerblad
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
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- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Mikael Sigvardsson (10 shared papers)Evan D. Rosen (2 shared papers)M. Ángeles Jiménez (1 shared paper)Tomas Leanderson (4 shared papers)Tom Kadesch (2 shared papers)Emma Smith (2 shared papers)Jan Oscarsson (1 shared paper)Daniel Lindén (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)The Journal of Immunology (2 papers)Journal of Molecular and Cellular Cardiology (2 papers)Journal of Hepatology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- SwedenUnited StatesPanama
In The Last Decade
Peter Åkerblad
19 papers receiving 775 citations
Peers
Comparison fields: 5 of 82
- Immunology 214
- Biochemistry 55
- Physiology 196
- Molecular Biology 395
- Cancer Research 85
Countries citing papers authored by Peter Åkerblad
This map shows the geographic impact of Peter Åkerblad'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 Peter Åkerblad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Åkerblad more than expected).
Fields of papers citing papers by Peter Åkerblad
This network shows the impact of papers produced by Peter Åkerblad. 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 Peter Åkerblad. The network helps show where Peter Åkerblad may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Åkerblad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 175 | |
| 2 | 2004 | 110 | |
| 3 | 2012 | 108 | |
| 4 | 1999 | 56 | |
| 5 | 2005 | 52 | |
| 6 | 2005 | 47 | |
| 7 | 2003 | 41 | |
| 8 | 1999 | 28 | |
| 9 | 2007 | 25 | |
| 10 | 1996 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 1999 | 21 | |
| 13 | 2018 | 21 | |
| 14 | 2001 | 20 | |
| 15 | 2020 | 16 | |
| 16 | 1996 | 9 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 2 |
About Peter Åkerblad
Peter Åkerblad is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 19 papers that have together received 781 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (3 papers), Adipose Tissue and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Immunology (214 citations), Biochemistry (55 citations), Physiology (196 citations), Molecular Biology (395 citations) and Cancer Research (85 citations). Peter Åkerblad has collaborated with scholars based in Sweden, United States and Panama. Frequent co-authors include Mikael Sigvardsson, Evan D. Rosen, M. Ángeles Jiménez, Tomas Leanderson, Tom Kadesch, Emma Smith, Jan Oscarsson, Daniel Lindén, Jie Min and Sona Kang. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Journal of Molecular and Cellular Cardiology, Journal of Hepatology and Journal of Biological Chemistry.
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.