Christopher D. Duntsch

787 citations
15 papers · 684 · h-index 11

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Cytokine Signaling Pathways and Interactions
    • Cancer Cells and Metastasis

Papers in

    • Glioma Diagnosis and Treatment 3
    • PARP inhibition in cancer therapy 2
    • Cytokine Signaling Pathways and Interactions 2
    • Cancer Cells and Metastasis 1

Christopher D. Duntsch

14 papers receiving 665 citations

Peers

Christopher D. Duntsch
Comparison fields: 5 of 68
  • Genetics 165
  • Oncology 213
  • Cancer Research 105
  • Developmental Neuroscience 24
  • Immunology 103
Replace Zhao Cheng with:
Zhao Cheng China
John E. Morales United States
Melissa Stafford United States
Yasumi Nakayama United States
Ewelina Stoczyńska-Fidelus Poland
Jane R. Giblin United States
Mónica Yunta Spain
Mahtab Maleki Qatar
Deanna M. Patmore United States
Constandina Pospori United Kingdom
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Citations per field
00.5×1.5×2.2×
Zhao Cheng · 1×
Citations per year

Countries citing papers authored by Christopher D. Duntsch

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Duntsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Duntsch. 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 Christopher D. Duntsch. The network helps show where Christopher D. Duntsch may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005205
2 2010119
3 2004108
4 200958
5 201237
6 200631
7 200429
8 200528
9 200524
10 200519
11 201112
12 201111
13 20111
14 20071
15 20141

About Christopher D. Duntsch

Christopher D. Duntsch is a scholar working on Genetics, Oncology, Pharmacology, Cancer Research and Neurology, having authored 15 papers that have together received 684 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Cannabis and Cannabinoid Research (2 papers), PARP inhibition in cancer therapy (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Cells and Metastasis (1 paper), Intracerebral and Subarachnoid Hemorrhage Research (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Genetics (165 citations), Oncology (213 citations), Cancer Research (105 citations), Developmental Neuroscience (24 citations) and Immunology (103 citations). Christopher D. Duntsch has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Qihong Zhou, Jon H. Robertson, Tayebeh Pourmotabbed, Kenichiro Asano, Peter Valent, Richard Moriggl, Sébastien Gingras, Veronika Sexl, Lukas Kenner and Demin Wang. Their work appears in journals such as Journal of Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Neurosurgery Pediatrics, Journal of neurosurgery and Cancer Cell.

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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