D. Van Epps

966 total citations
12 papers, 806 citations indexed

About

D. Van Epps is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, D. Van Epps has authored 12 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in D. Van Epps's work include Hematopoietic Stem Cell Transplantation (6 papers), Neutropenia and Cancer Infections (4 papers) and Cancer Cells and Metastasis (3 papers). D. Van Epps is often cited by papers focused on Hematopoietic Stem Cell Transplantation (6 papers), Neutropenia and Cancer Infections (4 papers) and Cancer Cells and Metastasis (3 papers). D. Van Epps collaborates with scholars based in United States. D. Van Epps's co-authors include JG Bender, LB To, Edward J. Leonard, Teizo Yoshimura, Alison Skeel, SF Williams, M Schilling, SL Smith, DE Williams and F. B. Oldham and has published in prestigious journals such as Blood, The Journal of Immunology and Infection and Immunity.

In The Last Decade

D. Van Epps

12 papers receiving 754 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Van Epps United States 10 351 257 210 164 125 12 806
T Otsuka Japan 13 301 0.9× 301 1.2× 178 0.8× 184 1.1× 164 1.3× 24 775
Florencio Varas Spain 14 233 0.7× 546 2.1× 110 0.5× 447 2.7× 86 0.7× 17 1.2k
Byung-il Choi South Korea 9 271 0.8× 494 1.9× 209 1.0× 154 0.9× 84 0.7× 15 816
Albertus W. Wognum Netherlands 14 318 0.9× 175 0.7× 151 0.7× 309 1.9× 169 1.4× 26 789
Tetsuo Kojima Japan 11 155 0.4× 137 0.5× 117 0.6× 326 2.0× 56 0.4× 28 818
Miriam Fogli Italy 17 476 1.4× 744 2.9× 324 1.5× 419 2.6× 236 1.9× 28 1.4k
J.J. Cassiman Belgium 21 235 0.7× 236 0.9× 238 1.1× 395 2.4× 348 2.8× 56 1.4k
Judith Endres United States 20 161 0.5× 672 2.6× 300 1.4× 273 1.7× 56 0.4× 22 1.3k
Jimmy Tan United States 9 139 0.4× 539 2.1× 137 0.7× 460 2.8× 97 0.8× 9 1.2k
Hitoshi Minamiguchi Japan 14 238 0.7× 152 0.6× 156 0.7× 318 1.9× 241 1.9× 38 910

Countries citing papers authored by D. Van Epps

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of D. Van Epps

This figure shows the co-authorship network connecting the top 25 collaborators of D. Van Epps. A scholar is included among the top collaborators of D. Van Epps based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Van Epps. D. Van Epps is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Bender, JG, et al.. (2000). Clinical impact of ex vivo differentiated myeloid precursors after high-dose chemotherapy and peripheral blood progenitor cell rescue. Bone Marrow Transplantation. 26(5). 505–510. 18 indexed citations
2.
Williams, SF, JG Bender, M Schilling, et al.. (1996). Selection and expansion of peripheral blood CD34+ cells in autologous stem cell transplantation for breast cancer. Blood. 87(5). 1687–1691. 152 indexed citations
3.
Williams, SF, Wen‐Jeng Lee, JG Bender, et al.. (1996). Selection and expansion of peripheral blood CD34+ cells in autologous stem cell transplantation for breast cancer. Blood. 87(5). 1687–1691. 10 indexed citations
4.
Simpson, Sarah, Esther M. John, Herbert Kaizer, et al.. (1995). Detection of tumor cells in the bone marrow, peripheral blood, and apheresis products of breast cancer patients using flow cytometry.. PubMed. 23(10). 1062–8. 63 indexed citations
5.
Bender, JG, K Unverzagt, D. Van Epps, et al.. (1994). 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.. PubMed. 13(4). 479–85. 36 indexed citations
6.
7.
8.
Leonard, Edward J., et al.. (1990). Leukocyte specificity and binding of human neutrophil attractant/activation protein-1.. The Journal of Immunology. 144(4). 1323–1330. 166 indexed citations
9.
Epps, D. Van, et al.. (1989). Modulation of IL-1, tumor necrosis factor, and C5a-mediated murine neutrophil migration by alpha-melanocyte-stimulating hormone.. The Journal of Immunology. 142(5). 1646–1651. 73 indexed citations
10.
Crowell, Richard E., et al.. (1988). Regionally variable pulmonary artery responses to C3a. American Journal of Physiology-Heart and Circulatory Physiology. 255(5). H1227–H1231. 1 indexed citations
11.
12.
Engel, David, D. Van Epps, & James Clagett. (1976). In vivo and in vitro studies on possible pathogenic mechanisms of Actinomyces viscosus. Infection and Immunity. 14(2). 548–554. 29 indexed citations

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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