Moritz Durchdewald
Impact in
- Clinical Biochemistry top 2%
- Advanced Glycation End Products research
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- Immune Response and Inflammation
- Immune cells in cancer
Papers in
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- Ubiquitin and proteasome pathways 1
- Plant Gene Expression Analysis 1
- S100 Proteins and Annexins 1
- Fungal and yeast genetics research 1
- Bone Metabolism and Diseases 1
- Genomics, phytochemicals, and oxidative stress 1
- Oncology 2
- Lymphatic System and Diseases 1
- Co-authors
- Jochen Heß (4 shared papers)Peter Angel (3 shared papers)Astrid Riehl (2 shared papers)Karin Müller‐Decker (1 shared paper)Peter P. Nawroth (1 shared paper)Bernd Arnold (1 shared paper)Alexander Enk (1 shared paper)Christoffer Gebhardt (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)FEMS Yeast Research (1 paper)Cancer Research (1 paper)Journal of Investigative Dermatology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Moritz Durchdewald
6 papers receiving 700 citations
Peers
Comparison fields: 5 of 91
- Clinical Biochemistry 144
- Immunology 161
- Cancer Research 100
- Genetics 58
- Oncology 143
Countries citing papers authored by Moritz Durchdewald
This map shows the geographic impact of Moritz Durchdewald'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 Moritz Durchdewald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Durchdewald more than expected).
Fields of papers citing papers by Moritz Durchdewald
This network shows the impact of papers produced by Moritz Durchdewald. 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 Moritz Durchdewald. The network helps show where Moritz Durchdewald may publish in the future.
Co-authors
The 25 scholars most cited alongside Moritz Durchdewald, 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 | 2008 | 328 | |
| 2 | 2009 | 150 | |
| 3 | 2009 | 109 | |
| 4 | 2008 | 56 | |
| 5 | 2006 | 48 | |
| 6 | 2008 | 18 |
About Moritz Durchdewald
Moritz Durchdewald is a scholar working on Molecular Biology, Oncology, Genetics, Clinical Biochemistry and Cell Biology, having authored 6 papers that have together received 709 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (1 paper), Ubiquitin and proteasome pathways (1 paper), Plant Gene Expression Analysis (1 paper), S100 Proteins and Annexins (1 paper), Fungal and yeast genetics research (1 paper), Bone Metabolism and Diseases (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (144 citations), Immunology (161 citations), Cancer Research (100 citations), Genetics (58 citations) and Oncology (143 citations). Moritz Durchdewald has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Jochen Heß, Peter Angel, Astrid Riehl, Karin Müller‐Decker, Peter P. Nawroth, Bernd Arnold, Alexander Enk, Christoffer Gebhardt, Júlia Németh and Angelika Bierhaus. Their work appears in journals such as Clinical Cancer Research, FEMS Yeast Research, Cancer Research, Journal of Investigative Dermatology and The Journal of Experimental Medicine.
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.