DE Van Epps

970 citations
12 papers · 856 · h-index 10

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Microbiology top 10%

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 2
    • Complement system in diseases 2
    • Immune Response and Inflammation 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

DE Van Epps

12 papers receiving 781 citations

Peers

DE Van Epps
Comparison fields: 5 of 87
  • Hematology 337
  • Microbiology 13
  • Genetics 127
  • Immunology 240
  • Immunology and Allergy 62
Replace Keith Shults with:
Keith Shults United States
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Florencio Varas Spain
Pierre Cunin United States
Masha Fridkis‐Hareli United States
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DE Van Epps relative to Keith Shults United States Keith Shults's profile →
Citations per field
00.5×2×3×4.1×
Keith Shults · 1×
Citations per year

Countries citing papers authored by DE Van Epps

Since Specialization
Citations

This map shows the geographic impact of DE 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 DE 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 DE Van Epps more than expected).

Fields of papers citing papers by DE Van Epps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DE 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 DE Van Epps. The network helps show where DE Van Epps may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1991246
2 1990174
3 1996167
4 198978
5
Detection of tumor cells in the bone marrow, peripheral blood, and apheresis products of breast cancer patients using flow cytometry.
199566
6
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.
199439
7 197631
8 200021
9 199114
10 199610
11 19849
12 19881

About DE Van Epps

DE Van Epps is a scholar working on Hematology, Immunology, Oncology, Microbiology and Immunology and Allergy, having authored 12 papers that have together received 856 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), Complement system in diseases (2 papers), Immune Response and Inflammation (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 (337 citations), Microbiology (13 citations), Genetics (127 citations), Immunology (240 citations) and Immunology and Allergy (62 citations). DE 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, Marta Schilling, SF Williams, SL Smith, Fred B. Oldham and DE Williams. Their work appears in journals such as Blood, The Journal of Immunology, Bone Marrow Transplantation, American Journal of Physiology-Heart and Circulatory Physiology 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.

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