Daniel Mathow
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Dialysis and Renal Disease Management
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- TGF-β signaling in diseases 2
- Sphingolipid Metabolism and Signaling 2
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Hermann-Josef Gröne (7 shared papers)Richard Jennemann (4 shared papers)Mariona Rabionet (4 shared papers)Roger Sandhoff (4 shared papers)Thomas Hielscher (5 shared papers)Zoran V. Popović (5 shared papers)Štefan Porubský (3 shared papers)Norbert Gretz (3 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Scientific Reports (1 paper)Biology Direct (1 paper)Human Molecular Genetics (1 paper)Kidney International (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Daniel Mathow
11 papers receiving 345 citations
Peers
Comparison fields: 5 of 76
- Nephrology 54
- Cancer Research 46
- Cell Biology 48
- Molecular Biology 174
- Pharmaceutical Science 13
Countries citing papers authored by Daniel Mathow
This map shows the geographic impact of Daniel Mathow'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 Daniel Mathow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mathow more than expected).
Fields of papers citing papers by Daniel Mathow
This network shows the impact of papers produced by Daniel Mathow. 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 Daniel Mathow. The network helps show where Daniel Mathow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mathow, 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 | 2016 | 87 | |
| 2 | 2015 | 52 | |
| 3 | 2013 | 48 | |
| 4 | 2015 | 36 | |
| 5 | 2018 | 29 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 25 | |
| 8 | 2014 | 23 | |
| 9 | 2017 | 12 | |
| 10 | 2014 | 7 | |
| 11 | 2015 | 2 |
About Daniel Mathow
Daniel Mathow is a scholar working on Molecular Biology, Cell Biology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 11 papers that have together received 348 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Cells and Metastasis (2 papers), Glycosylation and Glycoproteins Research (2 papers), Immune cells in cancer (2 papers), Wheat and Barley Genetics and Pathology (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Nephrology (54 citations), Cancer Research (46 citations), Cell Biology (48 citations), Molecular Biology (174 citations) and Pharmaceutical Science (13 citations). Daniel Mathow has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Hermann-Josef Gröne, Richard Jennemann, Mariona Rabionet, Roger Sandhoff, Thomas Hielscher, Zoran V. Popović, Štefan Porubský, Norbert Gretz, Giuseppina Federico and Alexander Feuerborn. Their work appears in journals such as Journal of Lipid Research, Scientific Reports, Biology Direct, Human Molecular Genetics and Kidney International.
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.