Danielle Sartini

430 total citations
9 papers, 358 citations indexed

About

Danielle Sartini is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Oncology. According to data from OpenAlex, Danielle Sartini has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Immunology and 3 papers in Oncology. Recurrent topics in Danielle Sartini's work include Viral Infections and Immunology Research (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Danielle Sartini is often cited by papers focused on Viral Infections and Immunology Research (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Danielle Sartini collaborates with scholars based in United States. Danielle Sartini's co-authors include Sally A. Huber, Mark A. Exley, Arthur M. Feldman, Wen‐Chao Song, Austin Dohrman, Ralph C. Budd, Ira M. Bernstein, Reem M. Sallam and Mohamad Moussawi and has published in prestigious journals such as The Journal of Immunology, Circulation Research and Journal of Virology.

In The Last Decade

Danielle Sartini

9 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Sartini United States 8 241 232 60 48 39 9 358
Michael Stille‐Siegener Germany 11 82 0.3× 268 1.2× 65 1.1× 66 1.4× 30 0.8× 12 362
Murilo Delgobo Germany 10 100 0.4× 65 0.3× 39 0.7× 86 1.8× 34 0.9× 16 249
Shigekazu Fujioka Japan 9 27 0.1× 205 0.9× 60 1.0× 45 0.9× 9 0.2× 20 260
O. Jin China 5 60 0.2× 218 0.9× 56 0.9× 75 1.6× 8 0.2× 11 328
Claudia Brehm Germany 6 190 0.8× 42 0.2× 25 0.4× 26 0.5× 130 3.3× 7 246
Jinfu Xie United States 10 60 0.2× 50 0.2× 59 1.0× 99 2.1× 52 1.3× 14 295
Snehal Ozarkar United States 2 173 0.7× 36 0.2× 50 0.8× 99 2.1× 64 1.6× 3 268
Monique Baron Brazil 9 79 0.3× 80 0.3× 134 2.2× 125 2.6× 10 0.3× 11 314
Sara Bolivar-Wagers United States 8 170 0.7× 36 0.2× 21 0.3× 45 0.9× 114 2.9× 10 250
Mark Routbort United States 6 21 0.1× 85 0.4× 31 0.5× 48 1.0× 22 0.6× 9 196

Countries citing papers authored by Danielle Sartini

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Sartini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Sartini

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

All Works

9 of 9 papers shown
1.
Huber, Sally A., Wen‐Chao Song, & Danielle Sartini. (2006). Decay-Accelerating Factor (CD55) Promotes CD1d Expression and V γ 4+ T-Cell Activation in Coxsackievirus B3-Induced Myocarditis. Viral Immunology. 19(2). 156–166. 12 indexed citations
2.
Huber, Sally A., Arthur M. Feldman, & Danielle Sartini. (2006). Coxsackievirus B3 Induces T Regulatory Cells, Which Inhibit Cardiomyopathy in Tumor Necrosis Factor-α Transgenic Mice. Circulation Research. 99(10). 1109–1116. 77 indexed citations
3.
Huber, Sally A., Austin Dohrman, Danielle Sartini, & Ralph C. Budd. (2006). Reduced myocarditis following Coxsackievirus infection in cellular FLICE inhibitory protein – long form‐transgenic mice. Immunology. 119(4). 541–550. 10 indexed citations
5.
Huber, Sally A. & Danielle Sartini. (2005). Roles of Tumor Necrosis Factor Alpha (TNF-α) and the p55 TNF Receptor in CD1d Induction and Coxsackievirus B3-Induced Myocarditis. Journal of Virology. 79(5). 2659–2665. 47 indexed citations
6.
Sartini, Danielle, et al.. (2004). Myocarditis susceptibility in female mice depends upon ovarian cycle phase at infection. Virology. 330(1). 16–23. 22 indexed citations
7.
Sartini, Danielle, Mohamad Moussawi, Reem M. Sallam, Ira M. Bernstein, & Sally A. Huber. (2004). Correlation between Serum Estradiol in the Follicular Phase of the Ovarian Cycle and Decay Accelerating Factor (DAF) Expression on Red Blood Cells and Coxsackievirus B3‐Induced Hemagglutination in Young Cycling Women. American Journal of Reproductive Immunology. 51(2). 180–187. 3 indexed citations
8.
Huber, Sally A., Danielle Sartini, & Mark A. Exley. (2003). Role of CD1d in Coxsackievirus B3-Induced Myocarditis. The Journal of Immunology. 170(6). 3147–3153. 72 indexed citations
9.
Huber, Sally A., Danielle Sartini, & Mark A. Exley. (2002). Vγ4+T Cells Promote Autoimmune CD8+Cytolytic T-Lymphocyte Activation in Coxsackievirus B3-Induced Myocarditis in Mice: Role for CD4+Th1 Cells. Journal of Virology. 76(21). 10785–10790. 92 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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