Jenna E. Ryan

509 total citations
16 papers, 435 citations indexed

About

Jenna E. Ryan is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Jenna E. Ryan has authored 16 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Jenna E. Ryan's work include Virology and Viral Diseases (10 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (5 papers). Jenna E. Ryan is often cited by papers focused on Virology and Viral Diseases (10 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (5 papers). Jenna E. Ryan collaborates with scholars based in United States, South Africa and France. Jenna E. Ryan's co-authors include Inna G. Ovsyannikova, Robert A. Vierkant, Robert M. Jacobson, V. Shane Pankratz, Neelam Dhiman, Gregory A. Poland, Gregory A. Poland, Steven J. Jacobsen, Rawleigh Howe and Megan M. O’Byrne and has published in prestigious journals such as Annals of the New York Academy of Sciences, American Journal of Ophthalmology and Vaccine.

In The Last Decade

Jenna E. Ryan

16 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenna E. Ryan United States 12 283 235 93 79 57 16 435
Luisanna Zedda Italy 8 266 0.9× 298 1.3× 77 0.8× 115 1.5× 25 0.4× 8 485
Wieslawa Olszewska United Kingdom 12 432 1.5× 151 0.6× 72 0.8× 225 2.8× 27 0.5× 16 594
Phillip Sung United States 10 246 0.9× 158 0.7× 73 0.8× 61 0.8× 39 0.7× 12 383
Taff Jones Canada 11 260 0.9× 152 0.6× 60 0.6× 155 2.0× 19 0.3× 20 396
Cecilia Chui United Kingdom 5 584 2.1× 535 2.3× 136 1.5× 246 3.1× 87 1.5× 6 925
Hilleman Mr United States 10 215 0.8× 110 0.5× 70 0.8× 104 1.3× 24 0.4× 30 351
Iris A. de Bruijn Netherlands 10 420 1.5× 199 0.8× 66 0.7× 106 1.3× 9 0.2× 12 512
S. Schneider-Schaulies Germany 8 281 1.0× 169 0.7× 35 0.4× 125 1.6× 31 0.5× 11 363
Cheryl Callahan United States 8 409 1.4× 167 0.7× 94 1.0× 174 2.2× 17 0.3× 10 503
Paola Bozzotti Switzerland 9 175 0.6× 311 1.3× 51 0.5× 62 0.8× 13 0.2× 9 458

Countries citing papers authored by Jenna E. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Jenna E. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna E. Ryan. 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 Jenna E. Ryan. The network helps show where Jenna E. Ryan may publish in the future.

Co-authorship network of co-authors of Jenna E. Ryan

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

All Works

16 of 16 papers shown
1.
Oberg, Ann L., Neelam Dhiman, Diane E. Grill, et al.. (2011). Optimizing high dimensional gene expression studies for immune response following smallpox vaccination using Taqman® Low density immune arrays. Journal of Immunological Methods. 366(1-2). 69–78. 4 indexed citations
2.
Dhiman, Neelam, Iana H. Haralambieva, Robert A. Vierkant, et al.. (2010). Predominant inflammatory cytokine secretion pattern in response to two doses of live rubella vaccine in healthy vaccinees. Cytokine. 50(1). 24–29. 27 indexed citations
3.
Ovsyannikova, Inna G., Jenna E. Ryan, Robert A. Vierkant, et al.. (2009). Influence of host genetic variation on rubella-specific T cell cytokine responses following rubella vaccination. Vaccine. 27(25-26). 3359–3366. 27 indexed citations
4.
Dhiman, Neelam, Inna G. Ovsyannikova, Robert A. Vierkant, et al.. (2008). Associations between SNPs in toll-like receptors and related intracellular signaling molecules and immune responses to measles vaccine: Preliminary results. Vaccine. 26(14). 1731–1736. 127 indexed citations
5.
Ryan, Jenna E., Neelam Dhiman, Inna G. Ovsyannikova, et al.. (2008). Response surface methodology to determine optimal cytokine responses in human peripheral blood mononuclear cells after smallpox vaccination. Journal of Immunological Methods. 341(1-2). 97–105. 20 indexed citations
6.
Ovsyannikova, Inna G., Robert M. Jacobson, Jenna E. Ryan, et al.. (2007). Relationship between HLA Polymorphisms and Gamma Interferon and Interleukin-10 Cytokine Production in Healthy Individuals after Rubella Vaccination. Clinical and Vaccine Immunology. 14(2). 115–122. 27 indexed citations
7.
Ovsyannikova, Inna G., Jenna E. Ryan, Robert M. Jacobson, et al.. (2006). Human leukocyte antigen and interleukin 2, 10 and 12p40 cytokine responses to measles: Is there evidence of the HLA effect?. Cytokine. 36(3-4). 173–179. 18 indexed citations
8.
Ryan, Jenna E., Inna G. Ovsyannikova, Neelam Dhiman, et al.. (2005). Inter‐operator variation in ELISPOT analysis of measles virus‐specific IFN‐γ‐secreting T cells. Scandinavian Journal of Clinical and Laboratory Investigation. 65(8). 681–690. 18 indexed citations
9.
Ovsyannikova, Inna G., Robert M. Jacobson, Jenna E. Ryan, et al.. (2005). HLA class II alleles and measles virus-specific cytokine immune response following two doses of measles vaccine. Immunogenetics. 56(11). 798–807. 48 indexed citations
10.
Ovsyannikova, Inna G., Jenna E. Ryan, Robert A. Vierkant, et al.. (2005). Immunologic significance of HLA class I genes in measles virus-specific IFN-γ and IL-4 cytokine immune responses. Immunogenetics. 57(11). 828–836. 36 indexed citations
11.
Ryan, Jenna E., Inna G. Ovsyannikova, & Gregory A. Poland. (2005). Detection of Measles Virus-Specific Interferon-γ-Secreting T-Cells by ELISPOT. Humana Press eBooks. 302. 207–218. 18 indexed citations
12.
Dhiman, Neelam, Inna G. Ovsyannikova, Jenna E. Ryan, et al.. (2005). Correlations among measles virus-specific antibody, lymphoproliferation and Th1/Th2 cytokine responses following measles–mumps–rubella-II (MMR-II) vaccination. Clinical & Experimental Immunology. 142(3). 498–504. 32 indexed citations
13.
Dhiman, Neelam, Inna G. Ovsyannikova, Rawleigh Howe, et al.. (2004). Interleukin-4 induced by measles virus and measles-derived peptides as measured by IL-4 receptor-blocking ELISA. Journal of Immunological Methods. 287(1-2). 217–225. 24 indexed citations
14.
Gear, J. H. S., et al.. (1967). Trachoma: Laboratory Studies of Trachoma and Related Infections in South Africa. American Journal of Ophthalmology. 63(5). 1310–1312. 4 indexed citations
15.
Gear, J. H. S., et al.. (1962). A STUDY OF SOUTH AFRICAN STRAINS OF TRACHOMA VIRUS IN EXPERIMENTAL ANIMALS. Annals of the New York Academy of Sciences. 98(1). 197–200. 2 indexed citations
16.
Gear, J. H. S., et al.. (1962). TRACHOMA IN SOUTHERN AFRICA. Annals of the New York Academy of Sciences. 98(1). 82–84. 3 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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