Peter Beemiller

1.9k total citations
17 papers, 1.5k citations indexed

About

Peter Beemiller is a scholar working on Immunology, Oncology and Cell Biology. According to data from OpenAlex, Peter Beemiller has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Peter Beemiller's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (5 papers). Peter Beemiller is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (5 papers). Peter Beemiller collaborates with scholars based in United States, Spain and Japan. Peter Beemiller's co-authors include Matthew F. Krummel, Joel A. Swanson, Jordan Jacobelli, Caitlin M. Sorensen, Audrey Gérard, Adam D. Hoppe, Bijan Boldajipour, Zena Werb, Mikala Egeblad and John Engelhardt and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Peter Beemiller

16 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Beemiller United States 13 764 545 310 302 162 17 1.5k
Audrey Gérard United States 19 988 1.3× 569 1.0× 252 0.8× 473 1.6× 225 1.4× 31 1.8k
Zurab Surviladze United States 20 587 0.8× 993 1.8× 405 1.3× 173 0.6× 124 0.8× 25 1.8k
Judy L. Cannon United States 21 956 1.3× 426 0.8× 241 0.8× 233 0.8× 367 2.3× 46 1.6k
María-Isabel Yuseff Chile 19 708 0.9× 542 1.0× 445 1.4× 114 0.4× 95 0.6× 36 1.5k
Janelle Waite United States 12 1.1k 1.4× 441 0.8× 174 0.6× 369 1.2× 174 1.1× 16 1.7k
Brandon J. Burbach United States 19 620 0.8× 507 0.9× 360 1.2× 255 0.8× 249 1.5× 28 1.5k
Tobias Zech United Kingdom 21 329 0.4× 905 1.7× 780 2.5× 164 0.5× 184 1.1× 28 1.7k
Wolfgang Paster Austria 21 1.0k 1.3× 609 1.1× 116 0.4× 458 1.5× 95 0.6× 37 1.5k
Patricia Barral United Kingdom 19 1.2k 1.6× 813 1.5× 103 0.3× 416 1.4× 213 1.3× 37 2.1k
William Rodgers United States 22 584 0.8× 1.2k 2.2× 504 1.6× 112 0.4× 168 1.0× 38 1.8k

Countries citing papers authored by Peter Beemiller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Beemiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Beemiller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Beemiller. A scholar is included among the top collaborators of Peter Beemiller 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 Peter Beemiller. Peter Beemiller 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.
Cai, En, Peter Beemiller, Casey Beppler, et al.. (2018). Visualizing Dynamic Microvillar Search and Stabilization during Ligand Detection by T Cells. Biophysical Journal. 114(3). 547a–548a.
2.
Cai, En, Peter Beemiller, Casey Beppler, et al.. (2017). Visualizing dynamic microvillar search and stabilization during ligand detection by T cells. Science. 356(6338). 200 indexed citations
3.
Corbin, Kaitlin, et al.. (2014). Assessing and benchmarking multiphoton microscopes for biologists. Methods in cell biology. 123. 135–151. 2 indexed citations
4.
Gérard, Audrey, Genaro Patiño‐López, Peter Beemiller, et al.. (2014). Detection of Rare Antigen-Presenting Cells through T Cell-Intrinsic Meandering Motility, Mediated by Myo1g. Cell. 158(3). 492–505. 89 indexed citations
5.
Gérard, Audrey, Omar Khan, Peter Beemiller, et al.. (2013). Secondary T cell–T cell synaptic interactions drive the differentiation of protective CD8+ T cells. Nature Immunology. 14(4). 356–363. 115 indexed citations
6.
Beemiller, Peter & Matthew F. Krummel. (2013). Regulation of T‐cell receptor signaling by the actin cytoskeleton and poroelastic cytoplasm. Immunological Reviews. 256(1). 148–159. 23 indexed citations
7.
Engelhardt, John, Bijan Boldajipour, Peter Beemiller, et al.. (2012). Marginating Dendritic Cells of the Tumor Microenvironment Cross-Present Tumor Antigens and Stably Engage Tumor-Specific T Cells. Cancer Cell. 21(3). 402–417. 266 indexed citations
8.
Beemiller, Peter, Jordan Jacobelli, & Matthew F. Krummel. (2012). Integration of the movement of signaling microclusters with cellular motility in immunological synapses. Nature Immunology. 13(8). 787–795. 73 indexed citations
9.
Beemiller, Peter, Jordan Jacobelli, & Matthew F. Krummel. (2012). Imaging and Analysis of OT1 T Cell Activation on Lipid Bilayers. Protocol Exchange. 4 indexed citations
10.
Gérard, Audrey, Peter Beemiller, Rachel S. Friedman, Jordan Jacobelli, & Matthew F. Krummel. (2012). Evolving immune circuits are generated by flexible, motile, and sequential immunological synapses. Immunological Reviews. 251(1). 80–96. 13 indexed citations
11.
Beemiller, Peter & Matthew F. Krummel. (2010). Mediation of T-Cell Activation by Actin Meshworks. Cold Spring Harbor Perspectives in Biology. 2(9). a002444–a002444. 52 indexed citations
12.
Friedman, Rachel S., Peter Beemiller, Caitlin M. Sorensen, Jordan Jacobelli, & Matthew F. Krummel. (2010). Real-time analysis of T cell receptors in naive cells in vitro and in vivo reveals flexibility in synapse and signaling dynamics. The Journal of Experimental Medicine. 207(12). 2733–2749. 75 indexed citations
13.
Friedman, Rachel S., Peter Beemiller, Caitlin M. Sorensen, Jordan Jacobelli, & Matthew F. Krummel. (2010). Real-time analysis of T cell receptors in naive cells in vitro and in vivo reveals flexibility in synapse and signaling dynamics. The Journal of Cell Biology. 191(4). i9–i9. 4 indexed citations
14.
Beemiller, Peter, Youxin Zhang, Suresh Mohan, et al.. (2009). A Cdc42 Activation Cycle Coordinated by PI 3-Kinase during Fc Receptor-mediated Phagocytosis. Molecular Biology of the Cell. 21(3). 470–480. 80 indexed citations
15.
Tooley, Aaron J., Julia Gilden, Jordan Jacobelli, et al.. (2008). Amoeboid T lymphocytes require the septin cytoskeleton for cortical integrity and persistent motility. Nature Cell Biology. 11(1). 17–26. 136 indexed citations
16.
Li, Yong, Yian Wang, Eunjung Kim, et al.. (2007). Bnip3 Mediates the Hypoxia-induced Inhibition on Mammalian Target of Rapamycin by Interacting with Rheb. Journal of Biological Chemistry. 282(49). 35803–35813. 219 indexed citations
17.
Beemiller, Peter, Adam D. Hoppe, & Joel A. Swanson. (2006). A Phosphatidylinositol-3-Kinase-Dependent Signal Transition Regulates ARF1 and ARF6 during Fcγ Receptor-Mediated Phagocytosis. PLoS Biology. 4(6). e162–e162. 102 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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