Dawn Colburn

695 citations
20 papers · 524 · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Cancer and Skin Lesions

Papers in

    • Hedgehog Signaling Pathway Studies 8
    • Melanoma and MAPK Pathways 3
    • Cancer therapeutics and mechanisms 2
    • Colorectal Cancer Treatments and Studies 3
    • Cancer Treatment and Pharmacology 3
    • Cancer-related Molecular Pathways 3

Dawn Colburn

20 papers receiving 500 citations

Peers

Dawn Colburn
Comparison fields: 5 of 65
  • Hematology 135
  • Dermatology 80
  • Genetics 75
  • Oncology 160
  • Pathology and Forensic Medicine 78
Replace Kenneth Washenik with:
Kenneth Washenik United States
Carole Ferraro France
Valerie Relias United States
Haihua Gong United States
M Dimitrijevic Serbia
James Proulx United States
Shohei Egami Japan
Emanuela Campalani United Kingdom
M. Lamba United States
M Musset France
Dawn Colburn relative to Kenneth Washenik United States Kenneth Washenik's profile →
Citations per field
00.5×
Kenneth Washenik · 1×
Citations per year

Countries citing papers authored by Dawn Colburn

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Colburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001203
2 201174
3 201249
4 200438
5 200237
6 201724
7 201622
8 201217
9 201413
10 201811
11 20039
12 20039
13 20205
14 20205
15 20192
16 20112
17 20241
18 20151
19 20111
20 20251

About Dawn Colburn

Dawn Colburn is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacy and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 524 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (8 papers), Oral and gingival health research (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Treatment and Pharmacology (3 papers), Melanoma and MAPK Pathways (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (135 citations), Dermatology (80 citations), Genetics (75 citations), Oncology (160 citations) and Pathology and Forensic Medicine (78 citations). Dawn Colburn has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Francis J. Giles, Deborah A. Thomas, Richard Graham, Cynthia L. David, Alexandria T. Phan, Francis J. Giles, Steve Kornblau, Guillermo Garcia‐Manero, Elihu H. Estey and H. Kantarjian. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Cancer Research, Cancer, Clinical Cancer Research and Journal of Clinical Oncology.

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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