Eva–Maria Duerr
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Angiogenesis and VEGF in Cancer 3
- Ubiquitin and proteasome pathways 1
- Bone Metabolism and Diseases 1
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Daniel C. Chung (4 shared papers)Yusuke Mizukami (5 shared papers)Won–Seok Jo (4 shared papers)Manish Gala (3 shared papers)Lawrence Zukerberg (2 shared papers)Charis Eng (2 shared papers)Yutaka Hayashi (1 shared paper)Maureen P. Lynch (1 shared paper)
- Journals
- Best Practice & Research Clinical Endocrinology & Metabolism (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Nature Medicine (1 paper)Gastroenterology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Eva–Maria Duerr
10 papers receiving 892 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 251
- Genetics 128
- Oncology 253
- Molecular Biology 508
- Immunology and Allergy 30
Countries citing papers authored by Eva–Maria Duerr
This map shows the geographic impact of Eva–Maria Duerr'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 Eva–Maria Duerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva–Maria Duerr more than expected).
Fields of papers citing papers by Eva–Maria Duerr
This network shows the impact of papers produced by Eva–Maria Duerr. 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 Eva–Maria Duerr. The network helps show where Eva–Maria Duerr may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva–Maria Duerr, 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 | 2005 | 363 | |
| 2 | 1998 | 303 | |
| 3 | 2006 | 87 | |
| 4 | 2007 | 53 | |
| 5 | 2008 | 31 | |
| 6 | 2015 | 31 | |
| 7 | 2005 | 18 | |
| 8 | 1999 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2012 | 6 |
About Eva–Maria Duerr
Eva–Maria Duerr is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Nephrology, having authored 10 papers that have together received 915 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Multiple and Secondary Primary Cancers (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Ubiquitin and proteasome pathways (1 paper), Lung Cancer Research Studies (1 paper), Bone Metabolism and Diseases (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Cancer Research (251 citations), Genetics (128 citations), Oncology (253 citations), Molecular Biology (508 citations) and Immunology and Allergy (30 citations). Eva–Maria Duerr has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Daniel C. Chung, Yusuke Mizukami, Won–Seok Jo, Manish Gala, Lawrence Zukerberg, Charis Eng, Yutaka Hayashi, Maureen P. Lynch, Jingnan Li and Otmar D. Wiestler. Their work appears in journals such as Best Practice & Research Clinical Endocrinology & Metabolism, The Journal of Clinical Endocrinology & Metabolism, Nature Medicine, Gastroenterology and Oncogene.
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.