Eva–Maria Duerr
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 2
- Glioma Diagnosis and Treatment 2
-
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Daniel C. Chung (5 shared papers)Yusuke Mizukami (6 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)Bo R. Rueda (1 shared paper)Xiaobo Zhang (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Journal of Biological Chemistry (2 papers)Gastroenterology (1 paper)Nature Medicine (1 paper)Endocrine Related Cancer (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Eva–Maria Duerr
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 65
- Genetics 286
- Cancer Research 126
- Oncology 181
- Molecular Biology 361
- Epidemiology 144
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 | 375 | |
| 2 | 1998 | 301 | |
| 3 | 2000 | 135 | |
| 4 | 2014 | 118 | |
| 5 | 2006 | 89 | |
| 6 | 2008 | 78 | |
| 7 | 2007 | 54 | |
| 8 | 2004 | 50 | |
| 9 | 2015 | 33 | |
| 10 | 2008 | 31 | |
| 11 | 2005 | 18 | |
| 12 | 1999 | 12 | |
| 13 | 2012 | 7 | |
| 14 | 1999 | 6 |
About Eva–Maria Duerr
Eva–Maria Duerr is a scholar working on Genetics, Cancer Research, Epidemiology, Molecular Biology and Surgery, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Glioma Diagnosis and Treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Genetics (286 citations), Cancer Research (126 citations), Oncology (181 citations), Molecular Biology (361 citations) and Epidemiology (144 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 K. Gala, Lawrence R. Zukerberg, Yutaka Kohgo, Bo R. Rueda, Xiaobo Zhang, Maureen P. Lynch and Charis Eng. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry, Gastroenterology, Nature Medicine and Endocrine Related 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.