Benjamin A. Freiberg

2.8k total citations · 1 hit paper
7 papers, 2.4k citations indexed

About

Benjamin A. Freiberg is a scholar working on Immunology, Immunology and Allergy and Virology. According to data from OpenAlex, Benjamin A. Freiberg has authored 7 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Immunology and Allergy and 1 paper in Virology. Recurrent topics in Benjamin A. Freiberg's work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Cell Adhesion Molecules Research (3 papers). Benjamin A. Freiberg is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Cell Adhesion Molecules Research (3 papers). Benjamin A. Freiberg collaborates with scholars based in United States and Germany. Benjamin A. Freiberg's co-authors include Hannah Kupfer, Noah Sciaky, Colin R. F. Monks, A Kupfer, Abraham Kupfer, John W. Kappler, Dennis M. Zaller, Paul Lang, John C. Cambier and Frances Crawford and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Benjamin A. Freiberg

7 papers receiving 2.3k citations

Hit Papers

Three-dimensional segregation of supramolecular activatio... 1998 2026 2007 2016 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin A. Freiberg United States 5 1.9k 592 365 344 242 7 2.4k
Tasha N. Sims United States 17 1.9k 1.0× 645 1.1× 582 1.6× 442 1.3× 228 0.9× 31 2.8k
Yolanda R. Carrasco Spain 22 1.7k 0.9× 613 1.0× 338 0.9× 386 1.1× 265 1.1× 43 2.4k
Christoph Wülfing United States 24 2.4k 1.3× 962 1.6× 506 1.4× 327 1.0× 327 1.4× 47 3.3k
Hannah Kupfer United States 6 2.4k 1.3× 838 1.4× 495 1.4× 439 1.3× 276 1.1× 9 3.1k
Gabriele Campi United States 9 1.6k 0.9× 730 1.2× 422 1.2× 327 1.0× 361 1.5× 9 2.4k
Kaushik Choudhuri United Kingdom 19 891 0.5× 538 0.9× 298 0.8× 137 0.4× 192 0.8× 30 2.0k
Mira Barda‐Saad Israel 25 1.1k 0.6× 799 1.3× 487 1.3× 358 1.0× 171 0.7× 55 2.2k
Judy L. Cannon United States 21 956 0.5× 426 0.7× 233 0.6× 367 1.1× 98 0.4× 46 1.6k
Janelle Waite United States 12 1.1k 0.6× 441 0.7× 369 1.0× 174 0.5× 108 0.4× 16 1.7k
David Depoil United Kingdom 21 1.5k 0.8× 645 1.1× 424 1.2× 335 1.0× 376 1.6× 35 2.3k

Countries citing papers authored by Benjamin A. Freiberg

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin A. Freiberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin A. Freiberg. 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 Benjamin A. Freiberg. The network helps show where Benjamin A. Freiberg may publish in the future.

Co-authorship network of co-authors of Benjamin A. Freiberg

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

All Works

7 of 7 papers shown
1.
Monks, Colin R. F., Benjamin A. Freiberg, Hannah Kupfer, Noah Sciaky, & Abraham Kupfer. (2015). Pillars Article: Three-Dimensional Segregation of Supramolecular Activation Clusters in T cells. Nature. 1998. 395: 82–86. The Journal of Immunology. 194(9). 4061–4065. 2 indexed citations
2.
Monks, Colin R. F., Benjamin A. Freiberg, Hannah Kupfer, Noah Sciaky, & Abraham Kupfer. (2015). Pillars article: Three-dimensional segregation of supramolecular activation clusters in T cells. Nature. 1998. 395: 82-86.. PubMed. 194(9). 4061–5. 3 indexed citations
3.
Kovacs, Birgit, Richard V. Parry, Zhengyu Ma, et al.. (2005). Ligation of CD28 by Its Natural Ligand CD86 in the Absence of TCR Stimulation Induces Lipid Raft Polarization in Human CD4 T Cells. The Journal of Immunology. 175(12). 7848–7854. 29 indexed citations
4.
Freiberg, Benjamin A., et al.. (2002). Staging and resetting T cell activation in SMACs. Nature Immunology. 3(10). 911–917. 286 indexed citations
5.
Lang, Paul, Benjamin A. Freiberg, Frances Crawford, et al.. (2001). TCR-Induced Transmembrane Signaling by Peptide/MHC Class II Via Associated Ig-α/β Dimers. Science. 291(5508). 1537–1540. 96 indexed citations
6.
Marschner, Susanne, Benjamin A. Freiberg, Abraham Kupfer, Thomas Hünig, & Terri H. Finkel. (1999). Ligation of the CD4 receptor induces activation-independent down-regulation ofl-selectin. Proceedings of the National Academy of Sciences. 96(17). 9763–9768. 21 indexed citations
7.
Monks, Colin R. F., Benjamin A. Freiberg, Hannah Kupfer, Noah Sciaky, & A Kupfer. (1998). Three-dimensional segregation of supramolecular activation clusters in T cells. Nature. 395(6697). 82–86. 1946 indexed citations breakdown →

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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