Hannah Kupfer

3.7k total citations · 1 hit paper
9 papers, 3.1k citations indexed

About

Hannah Kupfer is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Hannah Kupfer has authored 9 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Immunology and Allergy and 2 papers in Molecular Biology. Recurrent topics in Hannah Kupfer's work include T-cell and B-cell Immunology (6 papers), Cell Adhesion Molecules Research (3 papers) and Immune Cell Function and Interaction (2 papers). Hannah Kupfer is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Cell Adhesion Molecules Research (3 papers) and Immune Cell Function and Interaction (2 papers). Hannah Kupfer collaborates with scholars based in United States, Austria and Switzerland. Hannah Kupfer's co-authors include Colin R. F. Monks, A Kupfer, Benjamin A. Freiberg, Noah Sciaky, Abraham Kupfer, Idan Tamir, Avlin Barlow, Tim R. Mosmann, Dennis M. Zaller and John W. Kappler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Hannah Kupfer

9 papers receiving 3.1k 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
Hannah Kupfer United States 6 2.4k 838 495 439 299 9 3.1k
Christoph Wülfing United States 24 2.4k 1.0× 962 1.1× 506 1.0× 327 0.7× 289 1.0× 47 3.3k
Tasha N. Sims United States 17 1.9k 0.8× 645 0.8× 582 1.2× 442 1.0× 385 1.3× 31 2.8k
Benjamin A. Freiberg United States 5 1.9k 0.8× 592 0.7× 365 0.7× 344 0.8× 222 0.7× 7 2.4k
Ziv Shulman Israel 30 2.4k 1.0× 1.5k 1.8× 699 1.4× 596 1.4× 262 0.9× 60 4.0k
Thomas O. Cameron United States 23 2.2k 0.9× 820 1.0× 837 1.7× 252 0.6× 305 1.0× 27 3.6k
Ronald P. Trible United States 14 2.6k 1.1× 1.5k 1.8× 530 1.1× 418 1.0× 362 1.2× 19 3.6k
Tadashi Yokosuka Japan 24 3.0k 1.3× 1.1k 1.3× 1.4k 2.8× 351 0.8× 295 1.0× 43 4.1k
A Kupfer United States 12 2.4k 1.0× 1.2k 1.4× 462 0.9× 680 1.5× 872 2.9× 13 3.9k
Giovanna Bossi United Kingdom 25 2.4k 1.0× 1.7k 2.1× 719 1.5× 287 0.7× 1.1k 3.6× 40 4.3k
Gabriele Campi United States 9 1.6k 0.7× 730 0.9× 422 0.9× 327 0.7× 315 1.1× 9 2.4k

Countries citing papers authored by Hannah Kupfer

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Kupfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Kupfer

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

All Works

9 of 9 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.
Kupfer, Abraham & Hannah Kupfer. (2003). Imaging immune cell interactions and functions: SMACs and the Immunological Synapse. Seminars in Immunology. 15(6). 295–300. 70 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.
Springer, Andreas, et al.. (2002). Simulation of a SAW-based WLAN using chirp π/4 DQPSK modulation. 1. 381–384. 4 indexed citations
6.
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 →
7.
Monks, Colin R. F., Hannah Kupfer, Idan Tamir, Avlin Barlow, & Abraham Kupfer. (1997). Selective modulation of protein kinase C-Θ during T-cell activation. Nature. 385(6611). 83–86. 482 indexed citations
9.
Kupfer, Abraham, Tim R. Mosmann, & Hannah Kupfer. (1991). Polarized expression of cytokines in cell conjugates of helper T cells and splenic B cells.. Proceedings of the National Academy of Sciences. 88(3). 775–779. 206 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026