Dan V. Mourich

2.0k total citations
37 papers, 1.6k citations indexed

About

Dan V. Mourich is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Dan V. Mourich has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 13 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Dan V. Mourich's work include RNA Interference and Gene Delivery (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (8 papers). Dan V. Mourich is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (8 papers). Dan V. Mourich collaborates with scholars based in United States and Czechia. Dan V. Mourich's co-authors include Nancy I. Kerkvliet, Linda B. Steppan, Nikki B. Marshall, Patrick L. Iversen, Eric Anderson, Scott C. Fahrenkrug, James G. Shepherd, Castle Funatake, Scott E. LaPatra and William R. Vorachek and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Dan V. Mourich

37 papers receiving 1.6k citations

Peers

Dan V. Mourich
Adam C. Soloff United States
Brian J. Ledwith United States
Susan Searle United Kingdom
Jordan P. Metcalf United States
Sujata Manam United States
Adam C. Soloff United States
Dan V. Mourich
Citations per year, relative to Dan V. Mourich Dan V. Mourich (= 1×) peers Adam C. Soloff

Countries citing papers authored by Dan V. Mourich

Since Specialization
Citations

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

Fields of papers citing papers by Dan V. Mourich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan V. Mourich. 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 Dan V. Mourich. The network helps show where Dan V. Mourich may publish in the future.

Co-authorship network of co-authors of Dan V. Mourich

This figure shows the co-authorship network connecting the top 25 collaborators of Dan V. Mourich. A scholar is included among the top collaborators of Dan V. Mourich 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 Dan V. Mourich. Dan V. Mourich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ruby, Carl E., et al.. (2023). Potential Promises and Perils of Human Biological Treatments for Immunotherapy in Veterinary Oncology. Veterinary Sciences. 10(5). 336–336. 2 indexed citations
2.
Ruby, Carl E., Dan V. Mourich, Shay Bracha, et al.. (2022). Creating a Selective Nanobody Against 3-Nitrotyrosine Containing Proteins. Frontiers in Chemistry. 10. 835229–835229. 3 indexed citations
3.
Erdos, Michael R., Wayne A. Cabral, Urraca Tavarez, et al.. (2021). A targeted antisense therapeutic approach for Hutchinson–Gilford progeria syndrome. Nature Medicine. 27(3). 536–545. 53 indexed citations
4.
Troyer, Ryan M., Carl E. Ruby, Cheri P. Goodall, et al.. (2017). Exosomes from Osteosarcoma and normal osteoblast differ in proteomic cargo and immunomodulatory effects on T cells. Experimental Cell Research. 358(2). 369–376. 64 indexed citations
5.
Schnell, Frederick J., et al.. (2012). Lymphocytic Choriomeningitis Virus Infection in FVB Mouse Produces Hemorrhagic Disease. PLoS Pathogens. 8(12). e1003073–e1003073. 14 indexed citations
6.
Marshall, Nikki B., Laura Hauck, & Dan V. Mourich. (2011). Five-Step Process for Screening Antisense Compounds for Efficacy: Gene Target IL-12Rb2. Methods in molecular biology. 764. 153–168. 1 indexed citations
7.
Warren, Travis K., Kelly L. Warfield, Jay Wells, et al.. (2010). Advanced antisense therapies for postexposure protection against lethal filovirus infections. Nature Medicine. 16(9). 991–994. 154 indexed citations
8.
Kerkvliet, Nancy I., Linda B. Steppan, William R. Vorachek, et al.. (2009). Activation of Aryl Hydrocarbon Receptor by Tcdd Prevents Diabetes in Nod Mice and Increases Foxp3 + T Cells in Pancreatic Lymph Nodes. Immunotherapy. 1(4). 539–547. 135 indexed citations
9.
Mourich, Dan V., et al.. (2009). Antisense Targeting of cFLIP Sensitizes Activated T Cells to Undergo Apoptosis and Desensitizes Responses to Contact Dermatitis. Journal of Investigative Dermatology. 129(8). 1945–1953. 4 indexed citations
10.
Marshall, Nikki B., William R. Vorachek, Linda B. Steppan, Dan V. Mourich, & Nancy I. Kerkvliet. (2008). Functional Characterization and Gene Expression Analysis of CD4+CD25+ Regulatory T Cells Generated in Mice Treated with 2,3,7,8-Tetrachlorodibenzo- p -Dioxin. The Journal of Immunology. 181(4). 2382–2391. 80 indexed citations
11.
Lupfer, Christopher, et al.. (2008). Inhibition of influenza A H3N8 virus infections in mice by morpholino oligomers. Archives of Virology. 153(5). 929–937. 45 indexed citations
12.
Marshall, Nikki B., Shannon K. Oda, Hong M. Moulton, et al.. (2007). Arginine-rich cell-penetrating peptides facilitate delivery of antisense oligomers into murine leukocytes and alter pre-mRNA splicing. Journal of Immunological Methods. 325(1-2). 114–126. 25 indexed citations
13.
Funatake, Castle, Nikki B. Marshall, Linda B. Steppan, Dan V. Mourich, & Nancy I. Kerkvliet. (2005). Cutting Edge: Activation of the Aryl Hydrocarbon Receptor by 2,3,7,8-Tetrachlorodibenzo- p -dioxin Generates a Population of CD4+CD25+ Cells with Characteristics of Regulatory T Cells. The Journal of Immunology. 175(7). 4184–4188. 182 indexed citations
14.
Alonso‐Hearn, Marta, David A. Stein, Hong M. Moulton, et al.. (2005). Inhibition of infectious haematopoietic necrosis virus in cell cultures with peptide‐conjugated morpholino oligomers. Journal of Fish Diseases. 28(7). 399–410. 17 indexed citations
15.
Munks, Michael W., Dan V. Mourich, Robert S. Mittler, Andrew D. Weinberg, & Ann B. Hill. (2004). 4‐1BB and OX40 stimulation enhance CD8 and CD4 T‐cell responses to a DNA prime, poxvirus boost vaccine. Immunology. 112(4). 559–566. 60 indexed citations
16.
Mourich, Dan V., Michael W. Munks, Jason C. Murphy, Richard C. Willson, & Ann B. Hill. (2003). Spermine compaction is an efficient and economical method of producing vaccination-grade DNA. Journal of Immunological Methods. 274(1-2). 257–264. 19 indexed citations
17.
Mourich, Dan V., Charles Lee, Gustavo Reyes‐Terán, Carl E. Mackewicz, & Jay A. Levy. (1999). Lack of Differences in nef Alleles among HIV-Infected Asymptomatic Long-Term Survivors and Those Who Progressed to Disease. AIDS Research and Human Retroviruses. 15(17). 1573–1575. 7 indexed citations
18.
Anderson, Eric, Barbara S. Drolet, Carol H. Kim, et al.. (1995). Viral vaccines for aquaculture. 3(1). 16–23. 12 indexed citations
19.
Mourich, Dan V., et al.. (1995). Natural killer cell enhancement factor-like gene in rainbow trout (Oncorhynchus mykiss). Immunogenetics. 42(5). 438–9. 14 indexed citations
20.
Hefeneider, Steven H., et al.. (1988). The production and characterization of murine monoclonal antibodies to a DNA receptor on human leukocytes.. The Journal of Immunology. 140(9). 2937–2942. 36 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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