Eva–Maria Duerr

828 citations
8 papers · 558 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Chemokine receptors and signaling
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • TGF-β signaling in diseases 1
    • Neuroendocrine Tumor Research Advances 2
    • Multiple and Secondary Primary Cancers 1

Eva–Maria Duerr

8 papers receiving 549 citations

Peers

Eva–Maria Duerr
Comparison fields: 5 of 71
  • Cancer Research 188
  • Oncology 213
  • Hepatology 37
  • Molecular Biology 305
  • Immunology 82
Replace Won–Seok Jo with:
Won–Seok Jo United States
Hanhua Huang United States
E. A. Drab United States
Jean-Olivier Contrerès France
Richard de Goeij-de Haas Netherlands
Foteinos‐Ioannis Dimitrakopoulos Greece
Didem Taştekin Türkiye
Alexander P. Adler United States
Ji-Hai Yu China
Norimasa Matsutani Japan
Eva–Maria Duerr relative to Won–Seok Jo United States Won–Seok Jo's profile →
Citations per field
00.5×1.5×
Won–Seok Jo · 1×
Citations per year

Countries citing papers authored by Eva–Maria Duerr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva–Maria Duerr Line = papers co-authored together Eva–Maria Duerr links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005336
2 200686
3 200744
4 201529
5 200828
6 200518
7 201111
8 20126

About Eva–Maria Duerr

Eva–Maria Duerr is a scholar working on Molecular Biology, Epidemiology, Neurology, Oncology and Cancer Research, having authored 8 papers that have together received 558 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers), Multiple and Secondary Primary Cancers (1 paper), Oral and gingival health research (1 paper), TGF-β signaling in diseases (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (188 citations), Oncology (213 citations), Hepatology (37 citations), Molecular Biology (305 citations) and Immunology (82 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, Othon Iliopoulos, Bo R. Rueda, Jingnan Li, Michael Zimmer and Xiaobo Zhang. Their work appears in journals such as Cancer Biology & Therapy, Nature Medicine, Journal of Clinical Oncology, Clinical Nutrition 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.

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