Eva–Maria Duerr
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer, Hypoxia, and Metabolism 3
- Genetics 2
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Co-authors
- Daniel C. Chung (4 shared papers)Yusuke O. Mizukami (5 shared papers)Won–Seok Jo (4 shared papers)Manish K. Gala (3 shared papers)Lawrence R. Zukerberg (2 shared papers)Yutaka Kohgo (1 shared paper)Charis Eng (2 shared papers)Othon Iliopoulos (1 shared paper)
- Journals
- American Journal of Physiology-Gastrointestinal and Liver Physiology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Neuropathology & Experimental Neurology (1 paper)Nature Medicine (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Eva–Maria Duerr
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Genetics 223
- Cancer Research 290
- Oncology 322
- Molecular Biology 583
- Neurology 87
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 | 372 | |
| 2 | 1998 | 302 | |
| 3 | 2000 | 136 | |
| 4 | 2014 | 117 | |
| 5 | 2006 | 89 | |
| 6 | 2007 | 54 | |
| 7 | 2015 | 32 | |
| 8 | 2008 | 31 | |
| 9 | 2005 | 18 | |
| 10 | 1999 | 12 | |
| 11 | 2012 | 6 |
About Eva–Maria Duerr
Eva–Maria Duerr is a scholar working on Cancer Research, Genetics, Molecular Biology, Nephrology and Biotechnology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer Research and Treatments (1 paper), interferon and immune responses (1 paper), Parathyroid Disorders and Treatments (1 paper), Chromatin Remodeling and Cancer (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Genetics (223 citations), Cancer Research (290 citations), Oncology (322 citations), Molecular Biology (583 citations) and Neurology (87 citations). Eva–Maria Duerr has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Daniel C. Chung, Yusuke O. Mizukami, Won–Seok Jo, Manish K. Gala, Lawrence R. Zukerberg, Yutaka Kohgo, Charis Eng, Othon Iliopoulos, Michael Zimmer and Maureen P. Lynch. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, The Journal of Clinical Endocrinology & Metabolism, Journal of Neuropathology & Experimental Neurology, Nature Medicine and Journal of 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.