Timo Rückert

1.4k total citations
11 papers, 443 citations indexed

About

Timo Rückert is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Timo Rückert has authored 11 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Timo Rückert's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). Timo Rückert is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). Timo Rückert collaborates with scholars based in Germany, United States and United Kingdom. Timo Rückert's co-authors include Chiara Romagnani, Quirin Hammer, Mir‐Farzin Mashreghi, Leif S. Ludwig, Caleb A. Lareau, Pawel Durek, Daniela Hernandez, Kerstin Juelke, Josefine Dunst and David R. Withers and has published in prestigious journals such as Nature Communications, Immunity and Nature Immunology.

In The Last Decade

Timo Rückert

11 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timo Rückert Germany	10	334	95	71	67	55	11	443
Joshua D. Brandstadter United States	8	177 0.5×	114 1.2×	102 1.4×	39 0.6×	54 1.0×	22	377
Dora Pinto Italy	10	264 0.8×	57 0.6×	93 1.3×	50 0.7×	52 0.9×	11	380
Colleen J. Winstead United States	9	370 1.1×	90 0.9×	134 1.9×	83 1.2×	77 1.4×	11	565
Thiago Carvalho Portugal	6	480 1.4×	55 0.6×	77 1.1×	62 0.9×	45 0.8×	7	588
José Ramón Vidal-Castiñeira Spain	14	336 1.0×	49 0.5×	68 1.0×	83 1.2×	66 1.2×	21	489
Loui Madakamutil United States	10	404 1.2×	99 1.0×	42 0.6×	31 0.5×	26 0.5×	18	521
Guillemette Masse‐Ranson France	8	214 0.6×	78 0.8×	59 0.8×	92 1.4×	54 1.0×	8	375
Mahesh Bachu United States	11	218 0.7×	71 0.7×	159 2.2×	41 0.6×	46 0.8×	17	400
Tetsu Nishiwaki Japan	7	409 1.2×	64 0.7×	104 1.5×	123 1.8×	62 1.1×	8	626
Marine de Marcken United States	4	383 1.1×	132 1.4×	100 1.4×	50 0.7×	46 0.8×	5	485

Countries citing papers authored by Timo Rückert

Since Specialization

Citations

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

Fields of papers citing papers by Timo Rückert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Rückert

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

All Works

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11 of 11 papers shown

Rückert, Timo & Chiara Romagnani. (2024). Extrinsic and intrinsic drivers of natural killer cell clonality. Immunological Reviews. 323(1). 80–106. 3 indexed citations

Guan, Ning, Timo Rückert, Lee Garner, et al.. (2023). High-throughput characterization of HLA-E-presented CD94/NKG2x ligands reveals peptides which modulate NK cell activation. Nature Communications. 14(1). 4809–4809. 21 indexed citations

Santosa, Endi K., Timo Rückert, Jean-Benoît Le Luduec, et al.. (2023). Control of nutrient uptake by IRF4 orchestrates innate immune memory. Nature Immunology. 24(10). 1685–1697. 19 indexed citations

Rückert, Timo, Caleb A. Lareau, Mir‐Farzin Mashreghi, Leif S. Ludwig, & Chiara Romagnani. (2022). Clonal expansion and epigenetic inheritance of long-lasting NK cell memory. Nature Immunology. 23(11). 1551–1563. 84 indexed citations

Stehle, Christina, Timo Rückert, Rémi Fiancette, et al.. (2021). T-bet and RORα control lymph node formation by regulating embryonic innate lymphoid cell differentiation. Nature Immunology. 22(10). 1231–1244. 24 indexed citations

Hernandez, Daniela, Kerstin Juelke, Pawel Durek, et al.. (2021). An in vitro platform supports generation of human innate lymphoid cells from CD34+ hematopoietic progenitors that recapitulate ex vivo identity. Immunity. 54(10). 2417–2432.e5. 38 indexed citations

Vietzen, Hannes, Timo Rückert, Péter Jaksch, et al.. (2021). Extent of Cytomegalovirus Replication in the Human Host Depends on Variations of the HLA-E/UL40 Axis. mBio. 12(2). 18 indexed citations

Gaspal, Fabrina, Rémi Fiancette, Emma E. Dutton, et al.. (2020). Th1 responses in vivo require cell-specific provision of OX40L dictated by environmental cues. Nature Communications. 11(1). 3421–3421. 16 indexed citations

Hammer, Quirin, Timo Rückert, & Chiara Romagnani. (2018). Natural killer cell specificity for viral infections. Nature Immunology. 19(8). 800–808. 170 indexed citations

10.

Hammer, Quirin, Timo Rückert, Josefine Dunst, & Chiara Romagnani. (2018). Adaptive Natural Killer Cells Integrate Interleukin-18 during Target-Cell Encounter. Frontiers in Immunology. 8. 1976–1976. 17 indexed citations

11.

Gelato, Kathy A., Laura Schöckel, Olaf Klingbeil, et al.. (2017). Super-enhancers define a proliferative PGC-1α-expressing melanoma subgroup sensitive to BET inhibition. Oncogene. 37(4). 512–521. 33 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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