Danielle M. Yugo

952 total citations
19 papers, 691 citations indexed

About

Danielle M. Yugo is a scholar working on Infectious Diseases, Animal Science and Zoology and Hepatology. According to data from OpenAlex, Danielle M. Yugo has authored 19 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 9 papers in Animal Science and Zoology and 9 papers in Hepatology. Recurrent topics in Danielle M. Yugo's work include Viral gastroenteritis research and epidemiology (16 papers), Hepatitis Viruses Studies and Epidemiology (9 papers) and Animal Virus Infections Studies (9 papers). Danielle M. Yugo is often cited by papers focused on Viral gastroenteritis research and epidemiology (16 papers), Hepatitis Viruses Studies and Epidemiology (9 papers) and Animal Virus Infections Studies (9 papers). Danielle M. Yugo collaborates with scholars based in United States, United Kingdom and Finland. Danielle M. Yugo's co-authors include Xiang‐Jin Meng, C. Lynn Heffron, H. L. Shivaprasad, Rüdiger Hauck, Dianjun Cao, Caitlin M. Cossaboom, Christopher Overend, Sakthivel Subramaniam, Debin Tian and Tanja Opriessnig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Danielle M. Yugo

19 papers receiving 683 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle M. Yugo 470 350 200 137 83 19 691
Yanlong Pei 443 0.9× 136 0.4× 167 0.8× 155 1.1× 75 0.9× 38 665
Barbara A. Dryman 666 1.4× 522 1.5× 299 1.5× 206 1.5× 117 1.4× 19 868
Ruihan Shi 181 0.4× 193 0.6× 87 0.4× 42 0.3× 23 0.3× 25 407
B. Grummer 342 0.7× 223 0.6× 92 0.5× 45 0.3× 60 0.7× 29 769
Matías Castells 295 0.6× 50 0.1× 137 0.7× 47 0.3× 53 0.6× 32 447
Elena Canelli 395 0.8× 55 0.2× 304 1.5× 146 1.1× 27 0.3× 28 576
Tomoyuki Shiota 294 0.6× 194 0.6× 92 0.5× 57 0.4× 20 0.2× 23 554
Edward T. Clayson 568 1.2× 587 1.7× 33 0.2× 48 0.4× 122 1.5× 17 838
Patricia Renson 411 0.9× 42 0.1× 420 2.1× 217 1.6× 30 0.4× 30 579
I. Pšikal 161 0.3× 56 0.2× 146 0.7× 63 0.5× 29 0.3× 25 312

Countries citing papers authored by Danielle M. Yugo

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Yugo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Yugo. 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 Danielle M. Yugo. The network helps show where Danielle M. Yugo may publish in the future.

Co-authorship network of co-authors of Danielle M. Yugo

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

All Works

19 of 19 papers shown
1.
Tian, Debin, Danielle M. Yugo, Scott P. Kenney, et al.. (2020). Dissecting the potential role of hepatitis E virus ORF1 nonstructural gene in cross‐species infection by using intergenotypic chimeric viruses. Journal of Medical Virology. 92(12). 3563–3571. 8 indexed citations
2.
Pierson, F. William, Scott P. Kenney, C. Lynn Heffron, et al.. (2019). CD8+ lymphocytes but not B lymphocytes are required for protection against chronic hepatitis E virus infection in chickens. Journal of Medical Virology. 91(11). 1960–1969. 3 indexed citations
3.
Subramaniam, Sakthivel, Christopher Overend, Danielle M. Yugo, et al.. (2018). Isolation of Peripheral Blood CD8 T Cells Specific to Porcine Reproductive and Respiratory Syndrome Virus Utilizing Porcine CD137 Activation Marker. Viral Immunology. 31(4). 333–337. 1 indexed citations
6.
Yugo, Danielle M., Caitlin M. Cossaboom, C. Lynn Heffron, et al.. (2018). Evidence for an unknown agent antigenically related to the hepatitis E virus in dairy cows in the United States. Journal of Medical Virology. 91(4). 677–686. 26 indexed citations
7.
Subramaniam, Sakthivel, Danielle M. Yugo, C. Lynn Heffron, et al.. (2018). Vaccination of sows with a dendritic cell-targeted porcine epidemic diarrhea virus S1 protein-based candidate vaccine reduced viral shedding but exacerbated gross pathological lesions in suckling neonatal piglets. Journal of General Virology. 99(2). 230–239. 27 indexed citations
8.
Yugo, Danielle M., C. Lynn Heffron, Junghyun Ryu, et al.. (2018). Infection Dynamics of Hepatitis E Virus in Wild-Type and Immunoglobulin Heavy Chain Knockout J H −/− Gnotobiotic Piglets. Journal of Virology. 92(21). 18 indexed citations
10.
Sadeghi, Mohammadreza, Beatrix Kapusinszky, Danielle M. Yugo, et al.. (2017). Virome of US bovine calf serum. Biologicals. 46. 64–67. 40 indexed citations
11.
Cao, Dianjun, Sakthivel Subramaniam, Danielle M. Yugo, et al.. (2017). Pig model mimicking chronic hepatitis E virus infection in immunocompromised patients to assess immune correlates during chronicity. Proceedings of the National Academy of Sciences. 114(27). 6914–6923. 67 indexed citations
12.
Subramaniam, Sakthivel, Dianjun Cao, Debin Tian, et al.. (2016). Efficient priming of CD4 T cells by Langerin-expressing dendritic cells targeted with porcine epidemic diarrhea virus spike protein domains in pigs. Virus Research. 227. 212–219. 23 indexed citations
13.
Yugo, Danielle M., Rüdiger Hauck, H. L. Shivaprasad, & Xiang‐Jin Meng. (2016). Hepatitis Virus Infections in Poultry. Avian Diseases. 60(3). 576–588. 88 indexed citations
14.
Cossaboom, Caitlin M., C. Lynn Heffron, Dianjun Cao, et al.. (2016). Risk factors and sources of foodborne hepatitis E virus infection in the United States. Journal of Medical Virology. 88(9). 1641–1645. 37 indexed citations
15.
Tian, Debin, Yanyan Ni, Lei Zhou, et al.. (2015). Chimeric porcine reproductive and respiratory syndrome virus containing shuffled multiple envelope genes confers cross-protection in pigs. Virology. 485. 402–413. 18 indexed citations
16.
Subramaniam, Sakthivel, Pablo Piñeyro, Debin Tian, et al.. (2014). In vivo targeting of porcine reproductive and respiratory syndrome virus antigen through porcine DC-SIGN to dendritic cells elicits antigen-specific CD4T cell immunity in pigs. Vaccine. 32(50). 6768–6775. 22 indexed citations
17.
Yugo, Danielle M., Caitlin M. Cossaboom, & Xiang‐Jin Meng. (2014). Naturally Occurring Animal Models of Human Hepatitis E Virus Infection. ILAR Journal. 55(1). 187–199. 37 indexed citations
18.
Yugo, Danielle M. & Xiang‐Jin Meng. (2013). Hepatitis E Virus: Foodborne, Waterborne and Zoonotic Transmission. International Journal of Environmental Research and Public Health. 10(10). 4507–4533. 182 indexed citations
19.
Yugo, Danielle M., Jonathan S. Wall, Robert L. Donnell, et al.. (2010). Foxn3 is essential for craniofacial development in mice and a putative candidate involved in human congenital craniofacial defects. Biochemical and Biophysical Research Communications. 400(1). 60–65. 42 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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