Dennis E. Van Epps

4k citations
98 papers · 3.5k · h-index 31

Impact in

  • Immunology top 2%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immunodeficiency and Autoimmune Disorders
    • Lipid metabolism and biosynthesis

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 20
    • Complement system in diseases 6
    • Immunodeficiency and Autoimmune Disorders 5
    • Chemokine receptors and signaling 17

Dennis E. Van Epps

93 papers receiving 3.1k citations

Peers

Dennis E. Van Epps
Comparison fields: 5 of 111
  • Immunology 831
  • Biochemistry 160
  • Immunology and Allergy 121
  • Pharmacology 246
  • Hematology 200
Replace Sylvia T. Hoffstein with:
Sylvia T. Hoffstein United States
Sandip Kumar Basu India
S. Courtney Frasch United States
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Citations per field
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Citations per year

Countries citing papers authored by Dennis E. Van Epps

Since Specialization
Citations

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

Fields of papers citing papers by Dennis E. Van Epps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997277
2 1982177
3 1994175
4 1999167
5 1980147
6 1980146
7 1979134
8 1998108
9 2006107
10 1986104
11 197597
12 198796
13 199496
14 201585
15 199580
16 197870
17 197466
18 198654
19 198749
20 199146

About Dennis E. Van Epps

Dennis E. Van Epps is a scholar working on Immunology, Oncology, Hematology, Biochemistry and Molecular Biology, having authored 98 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (20 papers), Chemokine receptors and signaling (17 papers), Hematopoietic Stem Cell Transplantation (7 papers), Complement system in diseases (6 papers), Dialysis and Renal Disease Management (5 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Immunology (831 citations), Biochemistry (160 citations), Immunology and Allergy (121 citations), Pharmacology (246 citations) and Hematology (200 citations). Dennis E. Van Epps has collaborated with scholars based in United States and Italy. Frequent co-authors include Ralph C. Williams, Mary Lynn Garcia, Sharon L. Lewis, Viswanathan Natarajan, Harald H.O. Schmid, Patricia C. Schmid, JAMES G. BENDER, Mark L. Wolfe, S L Brown and Burton R. Andersen. Their work appears in journals such as Cellular Immunology, Chemistry and Physics of Lipids, Journal of Leukocyte Biology, Analytical Biochemistry 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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