Silvia M. Bacot

428 total citations
10 papers, 344 citations indexed

About

Silvia M. Bacot is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Silvia M. Bacot has authored 10 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Silvia M. Bacot's work include Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (3 papers). Silvia M. Bacot is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (3 papers). Silvia M. Bacot collaborates with scholars based in United States and Thailand. Silvia M. Bacot's co-authors include Gerald M. Feldman, Petra H. Lenz, Michelle R. Frazier-Jessen, Nick Burton, Stefanie N. Vogel, Jennifer F. A. Swisher, John T. Schiller, Douglas R. Lowy, Cynthia D. Thompson and Patricia M. Day and has published in prestigious journals such as Blood, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Silvia M. Bacot

10 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia M. Bacot United States 8 195 147 56 51 43 10 344
Laurens M. van Tienen United Kingdom 6 248 1.3× 71 0.5× 59 1.1× 26 0.5× 55 1.3× 6 364
Jia Tong Loh Singapore 10 218 1.1× 152 1.0× 33 0.6× 44 0.9× 32 0.7× 16 407
Larry Robert Peters United States 5 143 0.7× 211 1.4× 56 1.0× 78 1.5× 25 0.6× 6 419
Michelle Brault United States 7 314 1.6× 173 1.2× 83 1.5× 33 0.6× 52 1.2× 8 430
Jingran Zhou China 7 181 0.9× 237 1.6× 54 1.0× 35 0.7× 23 0.5× 13 421
Scott M. Bahr United States 8 200 1.0× 86 0.6× 32 0.6× 27 0.5× 47 1.1× 10 356
Inês F. Amado France 6 134 0.7× 196 1.3× 42 0.8× 21 0.4× 19 0.4× 9 341
Yukai Jing China 12 110 0.6× 187 1.3× 47 0.8× 55 1.1× 24 0.6× 31 352
Harikesh S. Wong United States 8 145 0.7× 279 1.9× 64 1.1× 102 2.0× 28 0.7× 14 513
Joshua J. Thompson United States 12 269 1.4× 65 0.4× 87 1.6× 63 1.2× 34 0.8× 24 424

Countries citing papers authored by Silvia M. Bacot

Since Specialization
Citations

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

Fields of papers citing papers by Silvia M. Bacot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia M. Bacot

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

All Works

10 of 10 papers shown
2.
Wang, Tao, et al.. (2022). Challenges and the Evolving Landscape of Assessing Blood-Based PD-L1 Expression as a Biomarker for Anti-PD-(L)1 Immunotherapy. Biomedicines. 10(5). 1181–1181. 13 indexed citations
3.
Bacot, Silvia M., Christina Zhu, Peng Yue, et al.. (2021). IL-10 Signaling Elicited by Nivolumab-Induced Activation of the MAP Kinase Pathway Does Not Fully Contribute to Nivolumab-Modulated Heterogeneous T Cell Responses. International Journal of Molecular Sciences. 22(21). 11848–11848. 6 indexed citations
4.
Bacot, Silvia M., Adovi Akue, Mark KuKuruga, et al.. (2020). Exploring the Potential Use of a PBMC-Based Functional Assay to Identify Predictive Biomarkers for Anti-PD-1 Immunotherapy. International Journal of Molecular Sciences. 21(23). 9023–9023. 18 indexed citations
5.
Luo, Shen, K. Melodi McSweeney, Tao Wang, et al.. (2019). Defining the right diluent for intravenous infusion of therapeutic antibodies. mAbs. 12(1). 1685814–1685814. 23 indexed citations
6.
Yue, Peng, Silvia M. Bacot, Shiowjen Lee, et al.. (2018). BRAF and MEK inhibitors differentially affect nivolumab-induced T cell activation by modulating the TCR and AKT signaling pathways. OncoImmunology. 8(1). e1512456–e1512456. 17 indexed citations
7.
Swisher, Jennifer F. A., Nick Burton, Silvia M. Bacot, Stefanie N. Vogel, & Gerald M. Feldman. (2009). Annexin A2 tetramer activates human and murine macrophages through TLR4. Blood. 115(3). 549–558. 96 indexed citations
8.
Lenz, Petra H., Silvia M. Bacot, Michelle R. Frazier-Jessen, & Gerald M. Feldman. (2003). Nucleoporation of dendritic cells: efficient gene transfer by electroporation into human monocyte‐derived dendritic cells1. FEBS Letters. 538(1-3). 149–154. 73 indexed citations
9.
Bacot, Silvia M., Petra H. Lenz, Michelle R. Frazier-Jessen, & Gerald M. Feldman. (2003). Activation by prion peptide PrP106–126 induces a NF-κB-driven proinflammatory response in human monocyte-derived dendritic cells. Journal of Leukocyte Biology. 74(1). 118–125. 25 indexed citations
10.
Lenz, Petra H., Cynthia D. Thompson, Patricia M. Day, et al.. (2003). Interaction of papillomavirus virus-like particles with human myeloid antigen-presenting cells. Clinical Immunology. 106(3). 231–237. 69 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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