Bryan Vander Lugt

1.2k total citations
8 papers, 918 citations indexed

About

Bryan Vander Lugt is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bryan Vander Lugt has authored 8 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Bryan Vander Lugt's work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). Bryan Vander Lugt is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). Bryan Vander Lugt collaborates with scholars based in United States, France and Netherlands. Bryan Vander Lugt's co-authors include Harinder Singh, Aly A. Khan, Jason A. Hackney, Smita Agrawal, Chauncey J. Spooner, Hozefa S. Bandukwala, Roger Sciammas, Anne I. Sperling, Donna C. Decker and Jesse W. Williams and has published in prestigious journals such as Science, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Bryan Vander Lugt

8 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Vander Lugt United States 8 769 191 160 108 55 8 918
Olivia Perng United States 6 944 1.2× 97 0.5× 182 1.1× 86 0.8× 66 1.2× 9 1.1k
Donna C. Decker United States 7 668 0.9× 110 0.6× 91 0.6× 132 1.2× 70 1.3× 10 802
Sandra Holzmann Austria 8 710 0.9× 108 0.6× 176 1.1× 78 0.7× 75 1.4× 8 910
A. Enk Germany 8 1.1k 1.4× 178 0.9× 238 1.5× 60 0.6× 65 1.2× 13 1.3k
Christina Helbig Netherlands 9 761 1.0× 158 0.8× 202 1.3× 39 0.4× 25 0.5× 11 919
Mohey Eldin El Shikh United States 15 484 0.6× 174 0.9× 117 0.7× 60 0.6× 89 1.6× 24 767
Uta Lauer Germany 9 503 0.7× 214 1.1× 102 0.6× 34 0.3× 32 0.6× 15 750
Sophie Minaee United Kingdom 7 614 0.8× 142 0.7× 101 0.6× 57 0.5× 34 0.6× 8 815
Elisabeth Calderón‐Gómez Germany 9 717 0.9× 132 0.7× 94 0.6× 35 0.3× 34 0.6× 11 900
Joachim Lehmann Germany 6 915 1.2× 66 0.3× 124 0.8× 45 0.4× 86 1.6× 6 1.1k

Countries citing papers authored by Bryan Vander Lugt

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Vander Lugt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Vander Lugt. 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 Bryan Vander Lugt. The network helps show where Bryan Vander Lugt may publish in the future.

Co-authorship network of co-authors of Bryan Vander Lugt

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

All Works

8 of 8 papers shown
1.
Mamrosh, Jennifer L., David J. Sherman, Joseph R. Cohen, et al.. (2023). Quantitative measurement of the requirement of diverse protein degradation pathways in MHC class I peptide presentation. Science Advances. 9(25). eade7890–eade7890. 9 indexed citations
2.
Lugt, Bryan Vander, Aly A. Khan, Jason A. Hackney, et al.. (2017). Transcriptional determinants of tolerogenic and immunogenic states during dendritic cell maturation. The Journal of Cell Biology. 216(3). 779–792. 69 indexed citations
3.
Lugt, Bryan Vander, Aly A. Khan, Jason A. Hackney, et al.. (2013). Transcriptional programming of dendritic cells for enhanced MHC class II antigen presentation. Nature Immunology. 15(2). 161–167. 204 indexed citations
4.
Singh, Harinder, Elke Glasmacher, Anne B. Chang, & Bryan Vander Lugt. (2013). The Molecular Choreography of IRF4 and IRF8 with Immune System Partners. Cold Spring Harbor Symposia on Quantitative Biology. 78(0). 101–104. 15 indexed citations
5.
Williams, Jesse W., Melissa Y. Tjota, Bryan S. Clay, et al.. (2013). Transcription factor IRF4 drives dendritic cells to promote Th2 differentiation. Nature Communications. 4(1). 2990–2990. 310 indexed citations
6.
Lugt, Bryan Vander, Noah Tubo, Marianne Boes, et al.. (2013). CCR7 Plays No Appreciable Role in Trafficking of Central Memory CD4 T Cells to Lymph Nodes. The Journal of Immunology. 191(6). 3119–3127. 30 indexed citations
7.
Glasmacher, Elke, Smita Agrawal, Anne B. Chang, et al.. (2012). A Genomic Regulatory Element That Directs Assembly and Function of Immune-Specific AP-1–IRF Complexes. Science. 338(6109). 975–980. 260 indexed citations
8.
Lugt, Bryan Vander, et al.. (2011). TGF-β Suppresses β-Catenin-Dependent Tolerogenic Activation Program in Dendritic Cells. PLoS ONE. 6(5). e20099–e20099. 21 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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