M. Krämer
Impact in
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- Viral Infections and Vectors
- Parvovirus B19 Infection Studies
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- Animal Virus Infections Studies
Papers in
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- Moyamoya disease diagnosis and treatment 4
- Systemic Lupus Erythematosus Research 2
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- Sphingolipid Metabolism and Signaling 4
- Co-authors
- Alexander Carpinteiro (7 shared papers)Erich Gulbins (7 shared papers)Peter Berlit (7 shared papers)Nazim El‐Andaloussi (1 shared paper)Hanswalter Zentgraf (1 shared paper)Junwei Li (1 shared paper)Laurent Daeffler (1 shared paper)Antonio Marchini (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Cellular Physiology and Biochemistry (2 papers)Journal of General Virology (2 papers)Scientific Reports (1 paper)Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
M. Krämer
20 papers receiving 307 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 72
- Animal Science and Zoology 31
- Genetics 77
- Endocrinology 12
- Immunology 47
Countries citing papers authored by M. Krämer
This map shows the geographic impact of M. Krämer'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 M. Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Krämer more than expected).
Fields of papers citing papers by M. Krämer
This network shows the impact of papers produced by M. Krämer. 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 M. Krämer. The network helps show where M. Krämer may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Krämer, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 84 | |
| 2 | 2014 | 39 | |
| 3 | 2016 | 27 | |
| 4 | 2017 | 23 | |
| 5 | 2006 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 2018 | 17 | |
| 8 | 2003 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2010 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2010 | 4 | |
| 17 | 2008 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2014 | 1 | |
| 20 | 2015 | 1 |
About M. Krämer
M. Krämer is a scholar working on Rheumatology, Molecular Biology, Neurology, Infectious Diseases and Pathology and Forensic Medicine, having authored 24 papers that have together received 312 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Neurological Complications and Syndromes (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), HIV Research and Treatment (2 papers), Biomedical Research and Pathophysiology (2 papers), Lysosomal Storage Disorders Research (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Infectious Diseases (72 citations), Animal Science and Zoology (31 citations), Genetics (77 citations), Endocrinology (12 citations) and Immunology (47 citations). M. Krämer has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Alexander Carpinteiro, Erich Gulbins, Peter Berlit, Nazim El‐Andaloussi, Hanswalter Zentgraf, Junwei Li, Laurent Daeffler, Antonio Marchini, Rodrígo Mora and Jean Rommelaere. Their work appears in journals such as International Journal of Molecular Sciences, Cellular Physiology and Biochemistry, Journal of General Virology, Scientific Reports and 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.