Mårten Hammar
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
-
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 1
- Biochemical and Structural Characterization 1
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- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Staffan Normark (3 shared papers)John Heuser (1 shared paper)Jerome S. Pinkner (1 shared paper)Robyn Roth (1 shared paper)Lloyd S. Robinson (1 shared paper)Scott J. Hultgren (1 shared paper)Matthew R. Chapman (1 shared paper)Walter Sierralta (1 shared paper)
- Journals
- Scientific Reports (2 papers)Molecular Microbiology (1 paper)Journal of Bacteriology (1 paper)Science (1 paper)Genetics (1 paper)
- Partner nations
- SwedenUnited KingdomItaly
In The Last Decade
Mårten Hammar
10 papers receiving 1.9k citations
Mårten Hammar's Hit Papers
Peers
Comparison fields: 5 of 118
- Endocrinology 303
- Physiology 501
- Molecular Medicine 95
- Molecular Biology 1.2k
- Periodontics 80
Countries citing papers authored by Mårten Hammar
This map shows the geographic impact of Mårten Hammar'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 Mårten Hammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mårten Hammar more than expected).
Fields of papers citing papers by Mårten Hammar
This network shows the impact of papers produced by Mårten Hammar. 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 Mårten Hammar. The network helps show where Mårten Hammar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mårten Hammar, 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 | Role of Escherichia coli Curli Operons in Directing Amyloid Fiber Formation Hit paper breakdown → | 2002 | 1025 |
| 2 | 1998 | 387 | |
| 3 | 1997 | 120 | |
| 4 | 2014 | 106 | |
| 5 | 2014 | 78 | |
| 6 | 2017 | 67 | |
| 7 | 2001 | 63 | |
| 8 | 2019 | 29 | |
| 9 | 2020 | 11 | |
| 10 | 2013 | 1 |
About Mårten Hammar
Mårten Hammar is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Cell Biology, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pancreatic function and diabetes (1 paper), Diet, Metabolism, and Disease (1 paper), Machine Learning in Bioinformatics (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Endocrinology (303 citations), Physiology (501 citations), Molecular Medicine (95 citations), Molecular Biology (1.2k citations) and Periodontics (80 citations). Mårten Hammar has collaborated with scholars based in Sweden, United Kingdom and Italy. Frequent co-authors include Staffan Normark, John Heuser, Jerome S. Pinkner, Robyn Roth, Lloyd S. Robinson, Scott J. Hultgren, Matthew R. Chapman, Walter Sierralta, Ute Römling and Bian Zhao. Their work appears in journals such as Scientific Reports, Molecular Microbiology, Journal of Bacteriology, Science and Genetics.
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.