Stefan Schattgen

1.8k total citations
31 papers, 1.3k citations indexed

About

Stefan Schattgen is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Stefan Schattgen has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 13 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Stefan Schattgen's work include Immune Cell Function and Interaction (11 papers), interferon and immune responses (10 papers) and CAR-T cell therapy research (7 papers). Stefan Schattgen is often cited by papers focused on Immune Cell Function and Interaction (11 papers), interferon and immune responses (10 papers) and CAR-T cell therapy research (7 papers). Stefan Schattgen collaborates with scholars based in United States, Norway and United Kingdom. Stefan Schattgen's co-authors include Katherine A. Fitzgerald, Te‐Chen Tzeng, Daniel R. Caffrey, Pallavi Gandhi, Wenqian Hu, Joerg E. Braun, Ansuman T. Satpathy, Harvey F. Lodish, Juliana Blin and Juan R. Alvarez‐Dominguez and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Stefan Schattgen

30 papers receiving 1.3k citations

Peers

Stefan Schattgen

IMMUN

EPIDE

Marion Massé France

Kristi L. Peters United States

Nilushi S. De Silva United States

Shinya Sakaguchi Austria

Z. Joel Australia

Qingliang Zheng China

Hajir Dadgostar United States

Peiqing Shi China

Sergio Covarrubias United States

Paulo Czarnewski Sweden

Marion Massé France

Stefan Schattgen

377 ×0.5

607 ×0.8

IMMUN

236 ×0.7

136 ×0.7

EPIDE

97 ×0.6

Citations per year, relative to Stefan Schattgen Stefan Schattgen (= 1×) peers Marion Massé

Countries citing papers authored by Stefan Schattgen

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Schattgen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Schattgen

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schattgen. A scholar is included among the top collaborators of Stefan Schattgen 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 Stefan Schattgen. Stefan Schattgen 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

Ghonim, Mohamed A., Stefan Schattgen, Lee-Ann Van de Velde, et al.. (2025). Endogenous T cell responses to fusion-derived neoantigens in pediatric acute leukemias. Leukemia. 39(10). 2419–2431.

Chaurasia, Priyanka, Angela Nguyen, Zijian Huang, et al.. (2025). LCK–co-receptor association ensures T cell lineage fidelity and maximizes epitope-specific TCR diversity. Science Immunology. 10(104). eadp5016–eadp5016. 1 indexed citations

Myers, Jacquelyn, Jaquelyn T. Zoine, Raghuvaran Shanmugam, et al.. (2024). Dnmt3a Mutant Hematopoietic Stem Cells Produce Hyperactive T Cells with Increased Alloimmune and Anti-Leukemic Activity. Blood. 144(Supplement 1). 1288–1288. 1 indexed citations

Keller, Michael D., Stefan Schattgen, Shanmuganathan Chandrakasan, et al.. (2024). Secondary bone marrow graft loss after third-party virus-specific T cell infusion: Case report of a rare complication. Nature Communications. 15(1). 2749–2749. 3 indexed citations

Brimble, Mark A., Jane Owens, Laurence O. Whiteley, et al.. (2024). Single cell and TCR analysis of immune cells from AAV gene therapy-dosed Duchenne muscular dystrophy patients. Molecular Therapy — Methods & Clinical Development. 32(4). 101349–101349. 4 indexed citations

Schattgen, Stefan, Jackson S. Turner, Mohamed A. Ghonim, et al.. (2024). Influenza vaccination stimulates maturation of the human T follicular helper cell response. Nature Immunology. 25(9). 1742–1753. 10 indexed citations

Ghonim, Mohamed A., Stefan Schattgen, Jing Ma, et al.. (2023). Identification and Functional Validation of Neoantigen-Specific T Cells in Pediatric Patients with Fusion-Derived Acute Leukemias. Blood. 142(Supplement 1). 2074–2074. 1 indexed citations

Zoine, Jaquelyn T., Jeremy Chase Crawford, Abishek Vaidya, et al.. (2022). Engineering naturally occurring CD7− T cells for the immunotherapy of hematological malignancies. Blood. 140(25). 2684–2696. 43 indexed citations

Schattgen, Stefan, William D. Hazelton, Paul G. Thomas, & Philip Bradley. (2022). Multimodal T Cell Analysis with CoNGA. Methods in molecular biology. 2574. 367–388. 2 indexed citations

10.

Schattgen, Stefan, et al.. (2022). Comparing T cell receptor repertoires using optimal transport. PLoS Computational Biology. 18(12). e1010681–e1010681. 4 indexed citations

11.

Blanco, Daniel Bastardo, Nicole M. Chapman, Jana Raynor, et al.. (2022). PTEN directs developmental and metabolic signaling for innate-like T cell fate and tissue homeostasis. Nature Cell Biology. 24(11). 1642–1654. 8 indexed citations

12.

Schattgen, Stefan, Jeremy Chase Crawford, Aisha Souquette, et al.. (2021). Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA). Nature Biotechnology. 40(1). 54–63. 56 indexed citations

13.

Mansouri, Samira, et al.. (2018). Immature lung TNFR2− conventional DC 2 subpopulation activates moDCs to promote cyclic di-GMP mucosal adjuvant responses in vivo. Mucosal Immunology. 12(1). 277–289. 19 indexed citations

14.

Atianand, Maninjay, Wenqian Hu, Ansuman T. Satpathy, et al.. (2016). A Long Noncoding RNA lincRNA-EPS Acts as a Transcriptional Brake to Restrain Inflammation. Cell. 165(7). 1672–1685. 364 indexed citations

15.

Ahmed, Seemin Seher, Stefan Schattgen, Elif M. Sikoglu, et al.. (2016). rAAV Gene Therapy in a Canavan's Disease Mouse Model Reveals Immune Impairments and an Extended Pathology Beyond the Central Nervous System. Molecular Therapy. 24(6). 1030–1041. 19 indexed citations

16.

Sun, Chenglong, Stefan Schattgen, Prapaporn Pisitkun, et al.. (2015). Evasion of Innate Cytosolic DNA Sensing by a Gammaherpesvirus Facilitates Establishment of Latent Infection. The Journal of Immunology. 194(4). 1819–1831. 80 indexed citations

17.

Ermler, Megan E., Zachary Traylor, Krupen Patel, et al.. (2013). Rift Valley fever virus infection induces activation of the NLRP3 inflammasome. Virology. 449. 174–180. 41 indexed citations

18.

Schattgen, Stefan, et al.. (2013). Synthetic Oligodeoxynucleotides Containing Suppressive TTAGGG Motifs Inhibit AIM2 Inflammasome Activation. The Journal of Immunology. 191(7). 3876–3883. 90 indexed citations

19.

Sharma, Shruti, et al.. (2013). The role of innate immune adaptor STING in suppressing lupus (P4070). The Journal of Immunology. 190(Supplement_1). 51.1–51.1. 2 indexed citations

20.

Sacristán, Catarina, Stefan Schattgen, Leslie J. Berg, et al.. (2009). Characterization of a novel interaction between transcription factor TFII‐I and the inducible tyrosine kinase in T cells. European Journal of Immunology. 39(9). 2584–2595. 17 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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