Melissa B. Uccellini

2.7k total citations
17 papers, 740 citations indexed

About

Melissa B. Uccellini is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Melissa B. Uccellini has authored 17 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Melissa B. Uccellini's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Melissa B. Uccellini is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Melissa B. Uccellini collaborates with scholars based in United States, Japan and France. Melissa B. Uccellini's co-authors include Adolfo Garcı́a-Sastre, Gregory A. Viglianti, Ann Marshak‐Rothstein, Florian Krammer, Michael Schotsaert, Shizuo Akira, Jean K. Lim, Virginia Gillespie, Raveen Rathnasinghe and Lynda Coughlan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Melissa B. Uccellini

17 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa B. Uccellini United States 13 424 200 156 135 70 17 740
Alessandra Siracusano Italy 20 203 0.5× 239 1.2× 147 0.9× 118 0.9× 40 0.6× 31 1.2k
Nicolas Ruffin Sweden 16 396 0.9× 130 0.7× 218 1.4× 143 1.1× 43 0.6× 33 803
Wanqiu Hou United States 13 427 1.0× 103 0.5× 113 0.7× 141 1.0× 41 0.6× 17 691
Gisela Wohlleben Germany 17 412 1.0× 68 0.3× 170 1.1× 71 0.5× 28 0.4× 32 900
P. W. Tuke United Kingdom 12 255 0.6× 84 0.4× 241 1.5× 237 1.8× 53 0.8× 15 815
Christopher D. Conrady United States 18 421 1.0× 65 0.3× 217 1.4× 449 3.3× 57 0.8× 60 1.2k
M A Calenoff United States 11 263 0.6× 161 0.8× 124 0.8× 150 1.1× 39 0.6× 14 747
Margaret H. Beddall United States 13 496 1.2× 187 0.9× 244 1.6× 160 1.2× 23 0.3× 16 883
Gudrun Andersson Sweden 9 354 0.8× 54 0.3× 112 0.7× 179 1.3× 43 0.6× 11 652
Nassef F. Hassan United States 18 432 1.0× 226 1.1× 237 1.5× 285 2.1× 27 0.4× 33 1.1k

Countries citing papers authored by Melissa B. Uccellini

Since Specialization
Citations

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

Fields of papers citing papers by Melissa B. Uccellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa B. Uccellini. 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 Melissa B. Uccellini. The network helps show where Melissa B. Uccellini may publish in the future.

Co-authorship network of co-authors of Melissa B. Uccellini

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

All Works

17 of 17 papers shown
1.
Uccellini, Melissa B., et al.. (2021). Development of a Macrophage-Based ADCC Assay. Vaccines. 9(6). 660–660. 8 indexed citations
2.
Winkler, Emma S., Rita E. Chen, Soner Yildiz, et al.. (2021). SARS-CoV-2 Causes Lung Infection without Severe Disease in Human ACE2 Knock-In Mice. Journal of Virology. 96(1). e0151121–e0151121. 53 indexed citations
3.
Rathnasinghe, Raveen, Shirin Strohmeier, Fatima Amanat, et al.. (2020). Comparison of transgenic and adenovirus hACE2 mouse models for SARS-CoV-2 infection. Emerging Microbes & Infections. 9(1). 2433–2445. 105 indexed citations
4.
Uccellini, Melissa B., Susana V. Bardina, María Teresa Sánchez-Aparicio, et al.. (2020). Passenger Mutations Confound Phenotypes of SARM1-Deficient Mice. Cell Reports. 31(1). 107498–107498. 34 indexed citations
5.
Zhang, Yu, et al.. (2020). STAT2 Limits Host Species Specificity of Human Metapneumovirus. Viruses. 12(7). 724–724. 5 indexed citations
6.
Uccellini, Melissa B. & Adolfo Garcı́a-Sastre. (2018). ISRE-Reporter Mouse Reveals High Basal and Induced Type I IFN Responses in Inflammatory Monocytes. Cell Reports. 25(10). 2784–2796.e3. 40 indexed citations
7.
He, Wenqian, Chi-Jene Chen, Caitlin E. Mullarkey, et al.. (2017). Alveolar macrophages are critical for broadly-reactive antibody-mediated protection against influenza A virus in mice. Nature Communications. 8(1). 846–846. 125 indexed citations
8.
Schmolke, Mirco, Jenish Patel, María Teresa Sánchez-Aparicio, et al.. (2014). RIG-I Detects mRNA of Intracellular Salmonella enterica Serovar Typhimurium during Bacterial Infection. mBio. 5(2). e01006–14. 50 indexed citations
9.
Banerjee, Rebecca, Bobby Thomas, Carl Nathan, et al.. (2013). SARM Is Required for Neuronal Injury and Cytokine Production in Response to Central Nervous System Viral Infection. The Journal of Immunology. 191(2). 875–883. 47 indexed citations
10.
Uccellini, Melissa B., Patricia Busto, Michelle Debatis, Ann Marshak‐Rothstein, & Gregory A. Viglianti. (2012). Selective binding of anti-DNA antibodies to native dsDNA fragments of differing sequence. Immunology Letters. 143(1). 85–91. 14 indexed citations
11.
Avalos, Ana M., Melissa B. Uccellini, Petar Lenert, Gregory A. Viglianti, & Ann Marshak‐Rothstein. (2010). FcγRIIB regulation of BCR/TLR‐dependent autoreactive B‐cell responses. European Journal of Immunology. 40(10). 2692–2698. 21 indexed citations
12.
Yasuda, Kei, Christophe Richez, Melissa B. Uccellini, et al.. (2009). Requirement for DNA CpG Content in TLR9-Dependent Dendritic Cell Activation Induced by DNA-Containing Immune Complexes. The Journal of Immunology. 183(5). 3109–3117. 93 indexed citations
13.
O’Neill, Shannon, Margaret Veselits, Miao Zhang, et al.. (2009). Endocytic sequestration of the B cell antigen receptor and toll-like receptor 9 in anergic cells. Proceedings of the National Academy of Sciences. 106(15). 6262–6267. 45 indexed citations
14.
Uccellini, Melissa B., Ana M. Avalos, Ann Marshak‐Rothstein, & Gregory A. Viglianti. (2009). Toll-Like Receptor-Dependent Immune Complex Activation of B Cells and Dendritic Cells. Methods in molecular biology. 1390. 363–380. 17 indexed citations
15.
Uccellini, Melissa B., Liliana Busconi, Patricia Busto, et al.. (2008). Autoreactive B Cells Discriminate CpG-Rich and CpG-Poor DNA and This Response Is Modulated by IFN-α. The Journal of Immunology. 181(9). 5875–5884. 62 indexed citations
16.
Busconi, Liliana, Christina M. Lau, Melissa B. Uccellini, et al.. (2006). DNA and RNA autoantigens as autoadjuvants. Journal of Endotoxin Research. 12(6). 379–384. 12 indexed citations
17.
Busconi, Liliana, Christina M. Lau, Melissa B. Uccellini, et al.. (2006). DNA and RNA autoantigens as autoadjuvants. Journal of Endotoxin Research. 12(6). 379–384. 9 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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