D. Van Epps
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 2
- Microbiology top 10%
- Immunology top 10%
- Immune Response and Inflammation 2
- Complement system in diseases 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Genetics top 10%
- Immunology and Allergy top 10%
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- Neutropenia and Cancer Infections 4
- Cancer Cells and Metastasis 3
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- Glycosylation and Glycoproteins Research 1
- Cited by
- HematologyMicrobiologyImmunology
- Journals
- Blood (5 papers)The Journal of Immunology (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)
- Partner nations
- United States
In The Last Decade
D. Van Epps
12 papers receiving 754 citations
Peers
Comparison fields: 5 of 86
- Hematology 351
- Microbiology 11
- Immunology 257
- Genetics 125
- Immunology and Allergy 64
Countries citing papers authored by D. Van Epps
This map shows the geographic impact of D. Van Epps'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. Van Epps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Van Epps more than expected).
Fields of papers citing papers by D. Van Epps
This network shows the impact of papers produced by D. Van Epps. 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. Van Epps. The network helps show where D. Van Epps may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Van Epps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 18 | |
| 2 | 1996 | 152 | |
| 3 | 1996 | 10 | |
| 4 | Detection of tumor cells in the bone marrow, peripheral blood, and apheresis products of breast cancer patients using flow cytometry. | 1995 | 63 |
| 5 | Correlation of colony-forming cells, long-term culture initiating cells and CD34+ cells in apheresis products from patients mobilized for peripheral blood progenitors with different regimens. | 1994 | 36 |
| 6 | 1991 | 236 | |
| 7 | 1991 | 13 | |
| 8 | 1990 | 166 | |
| 9 | 1989 | 73 | |
| 10 | 1988 | 1 | |
| 11 | 1984 | 9 | |
| 12 | 1976 | 29 |
About D. Van Epps
D. Van Epps is a scholar working on Microbiology, Hematology, Immunology, Oncology and Immunology and Allergy, having authored 12 papers that have together received 806 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Neutropenia and Cancer Infections (4 papers), Cancer Cells and Metastasis (3 papers), Acute Myeloid Leukemia Research (2 papers), Immune Response and Inflammation (2 papers), Complement system in diseases (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (351 citations), Microbiology (11 citations), Immunology (257 citations), Genetics (125 citations) and Immunology and Allergy (64 citations). D. Van Epps has collaborated with scholars based in United States. Frequent co-authors include JG Bender, LB To, Edward J. Leonard, Alison Skeel, Teizo Yoshimura, M Schilling, SF Williams, SL Smith, F. B. Oldham and DE Williams. Their work appears in journals such as Blood, The Journal of Immunology, American Journal of Physiology-Heart and Circulatory Physiology, Bone Marrow Transplantation and Infection and Immunity.
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.