M Krupp
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- Cancer-related molecular mechanisms research
Papers in
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- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 4
- FOXO transcription factor regulation 2
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
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- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Peter R. Galle (24 shared papers)Andreas Teufel (21 shared papers)Jens U. Marquardt (7 shared papers)T Maass (16 shared papers)Arndt Weinmann (7 shared papers)John C. Castle (1 shared paper)Uğur Şahin (1 shared paper)Snorri S. Thorgeirsson (4 shared papers)
- Journals
- Journal of Hepatology (4 papers)Bioinformatics (2 papers)Gene (2 papers)International Journal of Molecular Medicine (2 papers)Molecular Cancer (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
M Krupp
26 papers receiving 568 citations
Peers
Comparison fields: 5 of 80
- Geriatrics and Gerontology 83
- Cancer Research 113
- Molecular Biology 335
- Hepatology 33
- Physiology 18
Countries citing papers authored by M Krupp
This map shows the geographic impact of M Krupp'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 Krupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Krupp more than expected).
Fields of papers citing papers by M Krupp
This network shows the impact of papers produced by M Krupp. 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 Krupp. The network helps show where M Krupp may publish in the future.
Co-authors
The 25 scholars most cited alongside M Krupp, 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 | 2012 | 130 | |
| 2 | 2013 | 126 | |
| 3 | 2014 | 52 | |
| 4 | 2006 | 39 | |
| 5 | 2012 | 30 | |
| 6 | 2010 | 30 | |
| 7 | 2011 | 28 | |
| 8 | 2006 | 26 | |
| 9 | 2009 | 20 | |
| 10 | 2012 | 16 | |
| 11 | 2013 | 14 | |
| 12 | 2008 | 14 | |
| 13 | 2010 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2012 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2006 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 2014 | 1 |
About M Krupp
M Krupp is a scholar working on Molecular Biology, Epidemiology, Surgery, Geriatrics and Gerontology and Cell Biology, having authored 26 papers that have together received 591 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Bioinformatics and Genomic Networks (4 papers), FOXO transcription factor regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), RNA modifications and cancer (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (83 citations), Cancer Research (113 citations), Molecular Biology (335 citations), Hepatology (33 citations) and Physiology (18 citations). M Krupp has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter R. Galle, Andreas Teufel, Jens U. Marquardt, T Maass, Arndt Weinmann, John C. Castle, Uğur Şahin, Snorri S. Thorgeirsson, Frank Staib and Susanne Strand. Their work appears in journals such as Journal of Hepatology, Bioinformatics, Gene, International Journal of Molecular Medicine and Molecular Cancer.
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.