Ute Dugan

1.1k citations
17 papers · 248 · h-index 8

Impact in

    • Mathematical Biology Tumor Growth
    • Cancer Treatment and Pharmacology
    • Colorectal Cancer Treatments and Studies
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Treatment and Pharmacology 9
    • Colorectal Cancer Treatments and Studies 5
    • Cancer Immunotherapy and Biomarkers 5
    • HER2/EGFR in Cancer Research 4
    • Pancreatic and Hepatic Oncology Research 3
    • CAR-T cell therapy research 3
    • Cancer Genomics and Diagnostics 3

Ute Dugan

16 papers receiving 238 citations

Peers

Ute Dugan
Comparison fields: 5 of 46
  • Modeling and Simulation 33
  • Oncology 187
  • Cancer Research 61
  • Hepatology 25
  • Immunology 47
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Chunmei Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Ute Dugan

Since Specialization
Citations

This map shows the geographic impact of Ute Dugan'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 Ute Dugan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Dugan more than expected).

Fields of papers citing papers by Ute Dugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute Dugan. 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 Ute Dugan. The network helps show where Ute Dugan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ute Dugan, 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 Ute Dugan Line = papers co-authored together Ute Dugan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201955
2 200852
3 200934
4 201027
5
Antitumor activity of capecitabine and bevacizumab combination in a human estrogen receptor-negative breast adenocarcinoma xenograft model.
200721
6
Novel regimens of capecitabine alone and combined with irinotecan and bevacizumab in colorectal cancer xenografts.
200916
7 201913
8 20218
9 20086
10 20095
11 20075
12 20072
13 20231
14 20241
15 20211
16 20071
17 20250

About Ute Dugan

Ute Dugan is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Neurology and Hepatology, having authored 17 papers that have together received 248 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (9 papers), Colorectal Cancer Treatments and Studies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), CAR-T cell therapy research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Modeling and Simulation (33 citations), Oncology (187 citations), Cancer Research (61 citations), Hepatology (25 citations) and Immunology (47 citations). Ute Dugan has collaborated with scholars based in United States, South Africa and Eswatini. Frequent co-authors include Kenneth Kolinsky, Larry Norton, Clifford A. Hudis, Maria Theodoulou, Tiffany A. Traina, David Heimbrook, Kathryn Packman, Brian Higgins, Kimberly Feigin and Sujata Patil. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics, Clinical Trials and Breast Disease.

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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