Georg Gasteiger

7.5k total citations · 4 hit papers
63 papers, 5.2k citations indexed

About

Georg Gasteiger is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Georg Gasteiger has authored 63 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Georg Gasteiger's work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (25 papers) and Immunotherapy and Immune Responses (20 papers). Georg Gasteiger is often cited by papers focused on Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (25 papers) and Immunotherapy and Immune Responses (20 papers). Georg Gasteiger collaborates with scholars based in Germany, United States and Switzerland. Georg Gasteiger's co-authors include Alexander Y. Rudensky, Xiying Fan, Wolfgang Kastenmüller, Stanislav Dikiy, Takatoshi Chinen, Yongqiang Feng, Joseph C. Sun, Andrew G. Levine, Ye Zheng and Arun Kannan and has published in prestigious journals such as Science, Cell and Advanced Materials.

In The Last Decade

Georg Gasteiger

60 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An essential role for the IL-2 receptor in Treg cell function

2016 638 citations Xiying Fan, Georg Gasteiger et al. Nature Immunology profile →
Tissue residency of innate lymphoid cells in lymphoid and nonlymphoid organs

2015 619 citations Georg Gasteiger, Xiying Fan et al. Science profile →
The glucose transporter GLUT3 controls T helper 17 cell responses through glycolytic-epigenetic reprogramming

2022 140 citations Sophia M. Hochrein, Hao Wu et al. profile →
Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming

2023 135 citations Hao Wu, Xiufeng Zhao et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Georg Gasteiger Germany	33	3.9k	946	889	778	642	63	5.2k
Bianca Blom Netherlands	43	4.8k 1.2×	1.1k 1.2×	978 1.1×	1.2k 1.5×	334 0.5×	87	6.6k
Anja Fuchs United States	31	5.1k 1.3×	1.4k 1.4×	703 0.8×	867 1.1×	695 1.1×	54	6.7k
Chiara Romagnani Germany	39	4.4k 1.1×	708 0.7×	869 1.0×	566 0.7×	616 1.0×	69	5.3k
Jordi Ochando United States	37	4.2k 1.1×	590 0.6×	884 1.0×	1.2k 1.5×	513 0.8×	71	5.8k
Bertram Bengsch Germany	30	3.3k 0.8×	440 0.5×	1.5k 1.7×	749 1.0×	1.1k 1.7×	73	4.9k
Jill Angelosanto United States	15	4.2k 1.1×	1.6k 1.7×	944 1.1×	600 0.8×	572 0.9×	16	5.0k
Muzlifah Haniffa United Kingdom	37	3.2k 0.8×	423 0.4×	900 1.0×	1.3k 1.7×	568 0.9×	89	5.7k
Matthew Collin United Kingdom	34	4.1k 1.0×	495 0.5×	1.1k 1.2×	1.3k 1.6×	531 0.8×	102	6.4k
Brian J. Laidlaw United States	25	4.4k 1.1×	1.3k 1.4×	585 0.7×	729 0.9×	626 1.0×	32	5.4k
Max Löhning Germany	38	5.5k 1.4×	1.1k 1.2×	803 0.9×	1.0k 1.3×	454 0.7×	75	7.1k

Countries citing papers authored by Georg Gasteiger

Since Specialization

Citations

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

Fields of papers citing papers by Georg Gasteiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Gasteiger

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

All Works

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20 of 20 papers shown

Santosa, Endi K., J. J. Sauter, Simon Grassmann, et al.. (2025). Defining molecular circuits of CD8+ T cell responses in tissues during latent viral infection. The Journal of Experimental Medicine. 222(8). 1 indexed citations

Man, Kevin, Sarah S. Gabriel, Marcela L. Moreira, et al.. (2025). Stem-like tissue-resident memory T cells control functional heterogeneity and reactivation of T cell memory in the intestine. Science Immunology. 10(112). eadw1992–eadw1992.

Jobin, Katarzyna, Chloe Fenton, Anfei Huang, et al.. (2025). A distinct priming phase regulates CD8 T cell immunity by orchestrating paracrine IL-2 signals. Science. 388(6743). eadq1405–eadq1405. 7 indexed citations

Cossa, Giacomo, Christina Schülein‐Völk, Francisco Montesinos, et al.. (2024). PAF1c links S-phase progression to immune evasion and MYC function in pancreatic carcinoma. Nature Communications. 15(1). 1446–1446. 7 indexed citations

Sparano, Colin, Lukas Rindlisbacher, Hannah Van Hove, et al.. (2024). Autocrine TGF-β1 drives tissue-specific differentiation and function of resident NK cells. The Journal of Experimental Medicine. 222(3). 6 indexed citations

Vandenhaute, Jessica, Bert Malengier‐Devlies, Jessica Filtjens, et al.. (2024). Liver type 1 innate lymphoid cells undergo apoptosis in murine models of macrophage activation syndrome and are dispensable for disease. European Journal of Immunology. 54(12). e2451043–e2451043. 2 indexed citations

Gasteiger, Georg, et al.. (2023). Resident regulatory T cells reflect the immune history of individual lymph nodes. Science Immunology. 8(89). eadj5789–eadj5789. 9 indexed citations

Wu, Hao, Xiufeng Zhao, Sophia M. Hochrein, et al.. (2023). Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming. Nature Communications. 14(1). 6858–6858. 135 indexed citations breakdown →

Sparano, Colin, Marijne Vermeer, Florian Ingelfinger, et al.. (2022). Embryonic and neonatal waves generate distinct populations of hepatic ILC1s. Science Immunology. 7(75). eabo6641–eabo6641. 17 indexed citations

10.

Gnirck, Ann-Christin, Yakup Tanriver, Katrin Neumann, et al.. (2022). Conventional NK Cells and Type 1 Innate Lymphoid Cells Do Not Influence Pathogenesis of Experimental Glomerulonephritis. The Journal of Immunology. 208(7). 1585–1594. 4 indexed citations

11.

Krone, Manuel, Johannes Wagener, Thiên‐Trí Lâm, et al.. (2021). Performance of Three SARS-CoV-2 Immunoassays, Three Rapid Lateral Flow Tests, and a Novel Bead-Based Affinity Surrogate Test for the Detection of SARS-CoV-2 Antibodies in Human Serum. Journal of Clinical Microbiology. 59(8). e0031921–e0031921. 14 indexed citations

12.

Friedrich, Christin, Rémi Doucet-Ladevèze, Panagiota Arampatzi, et al.. (2021). Effector differentiation downstream of lineage commitment in ILC1s is driven by Hobit across tissues. Nature Immunology. 22(10). 1256–1267. 69 indexed citations

13.

Ataide, Marco A., Konrad Knöpper, Annika E. Peters, et al.. (2020). BATF3 programs CD8+ T cell memory. Nature Immunology. 21(11). 1397–1407. 88 indexed citations

14.

Kreymborg, Katharina, Stefan Haak, Rajmohan Murali, et al.. (2015). Ablation of B7-H3 but Not B7-H4 Results in Highly Increased Tumor Burden in a Murine Model of Spontaneous Prostate Cancer. Cancer Immunology Research. 3(8). 849–854. 30 indexed citations

15.

Gasteiger, Georg, et al.. (2015). Tissue residency of innate lymphoid cells in lymphoid and nonlymphoid organs. Science. 350(6263). 981–985. 619 indexed citations breakdown →

16.

Voisinne, Guillaume, Briana G. Nixon, Anna Melbinger, et al.. (2015). T Cells Integrate Local and Global Cues to Discriminate between Structurally Similar Antigens. Cell Reports. 11(8). 1208–1219. 45 indexed citations

17.

Daussy, Cécile, Fabrice Faure, Katia Mayol, et al.. (2014). T-bet and Eomes instruct the development of two distinct natural killer cell lineages in the liver and in the bone marrow. The Journal of Experimental Medicine. 211(3). 563–577. 439 indexed citations

18.

Rothhammer, Veit, Andreas Muschaweckh, Georg Gasteiger, et al.. (2014). α4-integrins control viral meningoencephalitis through differential recruitment of T helper cell subsets. Acta Neuropathologica Communications. 2(1). 27–27. 20 indexed citations

19.

Firth, Matthew A., Sharline Madera, Aimee M. Beaulieu, et al.. (2013). Nfil3-independent lineage maintenance and antiviral response of natural killer cells. The Journal of Experimental Medicine. 210(13). 2981–2990. 119 indexed citations

20.

Kastenmüller, Wolfgang, et al.. (2007). Cross-competition of CD8+ T cells shapes the immunodominance hierarchy during boost vaccination. The Journal of Experimental Medicine. 204(9). 2187–2198. 90 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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