Christopher T. Boughter

622 total citations
18 papers, 414 citations indexed

About

Christopher T. Boughter is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher T. Boughter has authored 18 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher T. Boughter's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Christopher T. Boughter is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Christopher T. Boughter collaborates with scholars based in United States, France and Germany. Christopher T. Boughter's co-authors include Erin J. Adams, Jeffery B. Klauda, Marta T. Borowska, Siyi Gu, Deepa Subramanian, Boualem Hammouda, М. А. Анисимов, Benoı̂t Roux, Viviana Monje‐Galvan and Wonpil Im and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and The Journal of Immunology.

In The Last Decade

Christopher T. Boughter

16 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher T. Boughter United States 10 203 123 69 64 49 18 414
Anthony Popowicz United States 14 82 0.4× 349 2.8× 75 1.1× 12 0.2× 41 0.8× 31 611
Zhaoqian Su United States 11 39 0.2× 221 1.8× 35 0.5× 30 0.5× 15 0.3× 41 357
Erik Walinda Japan 12 42 0.2× 334 2.7× 48 0.7× 19 0.3× 15 0.3× 36 481
James G. Snyder United States 9 53 0.3× 370 3.0× 62 0.9× 54 0.8× 57 1.2× 17 501
Alex Spurling Australia 11 85 0.4× 118 1.0× 98 1.4× 16 0.3× 30 0.6× 12 315
Dmitry M. Gakamsky Israel 11 209 1.0× 123 1.0× 26 0.4× 47 0.7× 15 0.3× 20 363
David J. Kane United States 10 145 0.7× 290 2.4× 22 0.3× 9 0.1× 17 0.3× 18 552
Michael Weinberger United Kingdom 13 51 0.3× 346 2.8× 20 0.3× 30 0.5× 62 1.3× 19 598
Stephen W. Raso United States 10 75 0.4× 282 2.3× 37 0.5× 132 2.1× 12 0.2× 10 421
K. Ilker Sen United States 10 63 0.3× 344 2.8× 40 0.6× 100 1.6× 23 0.5× 14 465

Countries citing papers authored by Christopher T. Boughter

Since Specialization
Citations

This map shows the geographic impact of Christopher T. Boughter'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 Christopher T. Boughter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Boughter more than expected).

Fields of papers citing papers by Christopher T. Boughter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher T. Boughter. 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 Christopher T. Boughter. The network helps show where Christopher T. Boughter may publish in the future.

Co-authorship network of co-authors of Christopher T. Boughter

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

All Works

18 of 18 papers shown
1.
Latour, Yvonne L., Christopher T. Boughter, Kory Johnson, et al.. (2025). Granzyme K+ CD8 T cells slow tauopathy progression by targeting microglia. Nature Immunology. 26(7). 1152–1167. 5 indexed citations
2.
Borowska, Marta T., Christopher T. Boughter, Jeffrey J. Bunker, et al.. (2023). Biochemical and biophysical characterization of natural polyreactivity in antibodies. Cell Reports. 42(10). 113190–113190. 5 indexed citations
3.
Jiang, Jiansheng, Christopher T. Boughter, Javeed Ahmad, et al.. (2023). SARS-CoV-2 antibodies recognize 23 distinct epitopic sites on the receptor binding domain. Communications Biology. 6(1). 953–953. 9 indexed citations
4.
Boughter, Christopher T. & Martin Meier‐Schellersheim. (2023). An integrated approach to the characterization of immune repertoires using AIMS: An Automated Immune Molecule Separator. PLoS Computational Biology. 19(10). e1011577–e1011577. 5 indexed citations
5.
Boughter, Christopher T. & Martin Meier‐Schellersheim. (2023). Conserved biophysical compatibility among the highly variable germline-encoded regions shapes TCR-MHC interactions. eLife. 12. 2 indexed citations
6.
Jiang, Jiansheng, Christopher T. Boughter, Javeed Ahmad, et al.. (2023). Identifying Epitope Sites on the Receptor Binding Domain (RBD) of SARS-CoV-2. The Journal of Immunology. 210(Supplement_1). 75.21–75.21.
7.
Jin, Haihong, Gwendolyn Swarbrick, Meghan Cansler, et al.. (2022). Deaza-modification of MR1 ligands modulates recognition by MR1-restricted T cells. Scientific Reports. 12(1). 22539–22539. 4 indexed citations
8.
Boughter, Christopher T., et al.. (2022). Computational Assessment of Protein–Protein Binding Specificity within a Family of Synaptic Surface Receptors. The Journal of Physical Chemistry B. 126(39). 7510–7527. 9 indexed citations
9.
Srivastava, Atul, Christopher T. Boughter, Jonathan Zerweck, et al.. (2021). Nanodroplet Oligomers (NanDOs) of Aβ40. Biochemistry. 60(36). 2691–2703. 4 indexed citations
10.
Castro, Caitlin D., et al.. (2020). Diversity in recognition and function of human γδ T cells. Immunological Reviews. 298(1). 134–152. 31 indexed citations
11.
Boughter, Christopher T., Marta T. Borowska, Jenna J. Guthmiller, et al.. (2020). Biochemical patterns of antibody polyreactivity revealed through a bioinformatics-based analysis of CDR loops. eLife. 9. 31 indexed citations
12.
Fichtner, Alina Suzann, Mohindar Murugesh Karunakaran, Siyi Gu, et al.. (2020). Alpaca (Vicugna pacos), the first nonprimate species with a phosphoantigen-reactive Vγ9Vδ2 T cell subset. Proceedings of the National Academy of Sciences. 117(12). 6697–6707. 25 indexed citations
13.
Gu, Siyi, Marta T. Borowska, Christopher T. Boughter, & Erin J. Adams. (2018). Butyrophilin3A proteins and Vγ9Vδ2 T cell activation. Seminars in Cell and Developmental Biology. 84. 65–74. 45 indexed citations
14.
Crooks, James, Christopher T. Boughter, L. Ridgway Scott, & Erin J. Adams. (2018). The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution. Frontiers in Molecular Biosciences. 5. 95–95. 9 indexed citations
15.
Gu, Siyi, Joseph R. Sachleben, Christopher T. Boughter, et al.. (2017). Phosphoantigen-induced conformational change of butyrophilin 3A1 (BTN3A1) and its implication on Vγ9Vδ2 T cell activation. Proceedings of the National Academy of Sciences. 114(35). E7311–E7320. 83 indexed citations
16.
Dahlberg, Peter D., Christopher T. Boughter, Matthew Reyer, et al.. (2016). A simple approach to spectrally resolved fluorescence and bright field microscopy over select regions of interest. Review of Scientific Instruments. 87(11). 113704–113704.
17.
Boughter, Christopher T., Viviana Monje‐Galvan, Wonpil Im, & Jeffery B. Klauda. (2016). Influence of Cholesterol on Phospholipid Bilayer Structure and Dynamics. The Journal of Physical Chemistry B. 120(45). 11761–11772. 53 indexed citations
18.
Subramanian, Deepa, Christopher T. Boughter, Jeffery B. Klauda, Boualem Hammouda, & М. А. Анисимов. (2013). Mesoscale inhomogeneities in aqueous solutions of small amphiphilic molecules. Faraday Discussions. 167. 217–217. 94 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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