Michael Gabl
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- S100 Proteins and Annexins 23
- Receptor Mechanisms and Signaling 6
- Immunology 16
- Immune Response and Inflammation 15
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
- Co-authors
- Huamei Forsman (26 shared papers)Cláes Dahlgren (25 shared papers)André Holdfeldt (18 shared papers)Malene Winther (13 shared papers)Martina Sundqvist (10 shared papers)Johan Bylund (8 shared papers)Jonas Mårtensson (7 shared papers)Karin Christenson (5 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (3 papers)Biochemical Pharmacology (3 papers)The Journal of Immunology (3 papers)PLoS ONE (3 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Michael Gabl
26 papers receiving 633 citations
Peers
Comparison fields: 5 of 62
- Immunology 313
- Microbiology 59
- Cellular and Molecular Neuroscience 146
- Molecular Biology 523
- Physiology 32
Countries citing papers authored by Michael Gabl
This map shows the geographic impact of Michael Gabl'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 Michael Gabl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gabl more than expected).
Fields of papers citing papers by Michael Gabl
This network shows the impact of papers produced by Michael Gabl. 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 Michael Gabl. The network helps show where Michael Gabl may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Gabl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 116 | |
| 2 | 2017 | 42 | |
| 3 | 2018 | 41 | |
| 4 | 2014 | 39 | |
| 5 | 2016 | 36 | |
| 6 | 2014 | 34 | |
| 7 | 2018 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2020 | 26 | |
| 10 | 2019 | 24 | |
| 11 | 2014 | 24 | |
| 12 | 2017 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2015 | 20 | |
| 15 | 2016 | 18 | |
| 16 | 2016 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2014 | 13 | |
| 20 | 2019 | 11 |
About Michael Gabl
Michael Gabl is a scholar working on Molecular Biology, Immunology, Cancer Research, Cellular and Molecular Neuroscience and Microbiology, having authored 26 papers that have together received 634 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (23 papers), Immune Response and Inflammation (15 papers), Protease and Inhibitor Mechanisms (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (6 papers), Antimicrobial Peptides and Activities (5 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Immunology (313 citations), Microbiology (59 citations), Cellular and Molecular Neuroscience (146 citations), Molecular Biology (523 citations) and Physiology (32 citations). Michael Gabl has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Huamei Forsman, Cláes Dahlgren, André Holdfeldt, Malene Winther, Martina Sundqvist, Johan Bylund, Jonas Mårtensson, Karin Christenson, Sarah Line Skovbakke and Lena Björkman. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Biochemical Pharmacology, The Journal of Immunology, PLoS ONE and Journal of Leukocyte 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.