D Warren

580 citations
12 papers · 364 indexed · h-index 7

Impact in

  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Neutropenia and Cancer Infections
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Chronic Myeloid Leukemia Treatments 2
    • Hematopoietic Stem Cell Transplantation 2
    • Multiple Myeloma Research and Treatments 2
    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 3

D Warren

12 papers receiving 350 citations

Peers

D Warren
Comparison fields: 5 of 44
  • Oncology 260
  • Hematology 105
  • Cancer Research 138
  • Genetics 45
  • Pathology and Forensic Medicine 75
Replace E Reich with:
E Reich United States
C Lynch United States
S Wolff United States
M. H. Purdy United States
Caroline Girouard Canada
J.M. Extra France
Ricardo Alvarez United States
M.C. Cox United States
Thilo Zander Switzerland
Su Y. Kim United States
D Warren relative to E Reich United States E Reich's profile →
Citations per field
00.5×10×
E Reich · 1×
Citations per year

Countries citing papers authored by D Warren

Since Specialization
Citations

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

Fields of papers citing papers by D Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1994117
2 199599
3 199850
4 199643
5 201526
6 200111
7 20066
8 20014
9
Dose escalation of the hypoxic cell sensitizer etanidazole combined with ifosfamide, carboplatin, etoposide, and autologous hematopoietic stem cell support.
19984
10 20092
11 20091
12 20091

About D Warren

D Warren is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Breast Cancer Treatment Studies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Oncology (260 citations), Hematology (105 citations), Cancer Research (138 citations), Genetics (45 citations) and Pathology and Forensic Medicine (75 citations). D Warren has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lois Ayash, E Reich, Gary N. Schwartz, C Lynch, Anthony Elias, Lowell E. Schnipper, Karen H. Antman, Catherine Wheeler, E Frei and C Wheeler. Their work appears in journals such as Journal of Clinical Oncology, Bone Marrow Transplantation, Leukemia, Blood and PubMed.

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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