Friederike Frommer

709 total citations
9 papers, 581 citations indexed

About

Friederike Frommer is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Friederike Frommer has authored 9 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Hematology. Recurrent topics in Friederike Frommer's work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). Friederike Frommer is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). Friederike Frommer collaborates with scholars based in Germany, Switzerland and United Kingdom. Friederike Frommer's co-authors include Ari Waisman, Thorsten Buch, Khalad Karram, Nir Yogev, George Kollias, Liliana Minichiello, George Kassiotis, Dana Krämer, Hans Lassmann and Nadine Hövelmeyer and has published in prestigious journals such as Blood, Nature Neuroscience and Immunity.

In The Last Decade

Friederike Frommer

9 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Friederike Frommer Germany	9	359	146	138	108	81	9	581
Carolyn J. Hoban United States	7	152 0.4×	101 0.7×	132 1.0×	137 1.3×	91 1.1×	11	472
Ariel Arthur United Kingdom	7	187 0.5×	107 0.7×	177 1.3×	211 2.0×	111 1.4×	7	511
Kevin Sun United States	8	175 0.5×	78 0.5×	108 0.8×	66 0.6×	58 0.7×	11	394
Kirsten Adlard United States	11	445 1.2×	75 0.5×	71 0.5×	172 1.6×	38 0.5×	13	711
Andrea Viehöver Germany	7	304 0.8×	65 0.4×	125 0.9×	233 2.2×	101 1.2×	10	648
Jamie van Langelaar Netherlands	9	325 0.9×	110 0.8×	90 0.7×	281 2.6×	35 0.4×	14	571
Ribal Bassil United States	10	484 1.3×	110 0.8×	256 1.9×	34 0.3×	22 0.3×	10	689
Josette Padilla United States	8	373 1.0×	88 0.6×	60 0.4×	224 2.1×	31 0.4×	8	569
Angela Dreykluft Germany	5	306 0.9×	293 2.0×	104 0.8×	55 0.5×	36 0.4×	5	541
Karim L. Kreft Netherlands	13	141 0.4×	98 0.7×	104 0.8×	151 1.4×	24 0.3×	24	408

Countries citing papers authored by Friederike Frommer

Since Specialization

Citations

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

Fields of papers citing papers by Friederike Frommer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Friederike Frommer

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

All Works

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9 of 9 papers shown

Frommer, Friederike, Martin Vaeth, Edgar Serfling, et al.. (2015). NFAT1 deficit and NFAT2 deficit attenuate EAE via different mechanisms. European Journal of Immunology. 45(5). 1377–1389. 28 indexed citations

Yogev, Nir, Friederike Frommer, Dominika Lukas, et al.. (2012). Dendritic Cells Ameliorate Autoimmunity in the CNS by Controlling the Homeostasis of PD-1 Receptor+ Regulatory T Cells. Immunity. 37(2). 264–275. 161 indexed citations

Locatelli, Giuseppe, Simone Wörtge, Thorsten Buch, et al.. (2012). Primary oligodendrocyte death does not elicit anti-CNS immunity. Nature Neuroscience. 15(4). 543–550. 105 indexed citations

Turchinovich, Gleb, Friederike Frommer, Jan Kranich, et al.. (2011). Programming of marginal zone B-cell fate by basic Krüppel-like factor (BKLF/KLF3). Blood. 117(14). 3780–3792. 27 indexed citations

Konkel, Joanne E., Friederike Frommer, Melanie D. Leech, et al.. (2010). PD‐1 signalling in CD4⁺ T cells restrains their clonal expansion to an immunogenic stimulus, but is not critically required for peptide‐induced tolerance. Immunology. 130(1). 92–102. 25 indexed citations

Frommer, Friederike & Ari Waisman. (2010). B Cells Participate in Thymic Negative Selection of Murine Auto-reactive CD4+ T Cells. PLoS ONE. 5(10). e15372–e15372. 49 indexed citations

Frommer, Friederike, Tobias Heinen, F. Thomas Wunderlich, et al.. (2008). Tolerance without Clonal Expansion: Self-Antigen-Expressing B Cells Program Self-Reactive T Cells for Future Deletion. The Journal of Immunology. 181(8). 5748–5759. 41 indexed citations

Hövelmeyer, Nadine, Zhenyue Hao, Ksanthi Kranidioti, et al.. (2005). Apoptosis of Oligodendrocytes via Fas and TNF-R1 Is a Key Event in the Induction of Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 175(9). 5875–5884. 137 indexed citations

Kirberg, Jörg, et al.. (2005). Proviral integration of an Abelson-murine leukemia virus deregulates BKLF-expression in the hypermutating pre-B cell line 18-81. Molecular Immunology. 42(10). 1235–1242. 8 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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