Simon Heidegger

1.6k total citations
38 papers, 1.1k citations indexed

About

Simon Heidegger is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Simon Heidegger has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 15 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Simon Heidegger's work include Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (10 papers) and Immune Response and Inflammation (9 papers). Simon Heidegger is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (10 papers) and Immune Response and Inflammation (9 papers). Simon Heidegger collaborates with scholars based in Germany, United States and Switzerland. Simon Heidegger's co-authors include Stefan Endres, Carole Bourquin, Nadja Sandholzer, Verena Schüller, Tim Liedl, Philipp C. Nickels, Hendrik Poeck, Tobias Haas, Marcel R.M. van den Brink and Julius Fischer and has published in prestigious journals such as Blood, ACS Nano and The Journal of Immunology.

In The Last Decade

Simon Heidegger

37 papers receiving 1.1k citations

Peers

Simon Heidegger

IMMUN

ONCOL

BIOMA

Dodie Pouniotis Australia

Blessing Crimeen‐Irwin Australia

Mahdi Habibi‐Anbouhi Iran

Rakan El‐Mayta United States

Caitlin D. Lemke United States

Genc Basha Canada

Xuejiao Han China

Michel Baron France

Martino Ambrosini Netherlands

Dodie Pouniotis Australia

Simon Heidegger

707 ×1.1

764 ×1.7

IMMUN

198 ×1.1

ONCOL

69 ×0.4

56 ×0.9

BIOMA

Citations per year, relative to Simon Heidegger Simon Heidegger (= 1×) peers Dodie Pouniotis

Countries citing papers authored by Simon Heidegger

Since Specialization

Citations

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

Fields of papers citing papers by Simon Heidegger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Heidegger

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

Nedelko, Tatiana, Vincent Grass, Julius Fischer, et al.. (2025). Targeting Intracellular Innate RNA-Sensing Systems Overcomes Resistance to CAR T-cell Therapy in Solid Tumors. Cancer Research. 85(14). 2679–2693. 1 indexed citations

Diergaarde, Brenda, Simon Heidegger, Hendrik Poeck, et al.. (2025). Expression of vesiculation-related genes is associated with a tumor-promoting microenvironment: a pan-cancer analysis. Clinical & Translational Oncology. 27(7). 3163–3174.

Perl, Markus, Julius C. Enßle, Jürgen Ruland, et al.. (2025). Gasdermin E links tumor cell-intrinsic nucleic acid signaling to proinflammatory cell death for successful checkpoint inhibitor cancer immunotherapy. OncoImmunology. 14(1). 2504244–2504244. 2 indexed citations

Werner, Rudolf A., Alexander Haug, Christian Buske, et al.. (2024). CXCR4-targeted Theranostics in Hematooncology: Opportunities and Challenges. Nuklearmedizin - NuclearMedicine. 63(2). 57–61. 2 indexed citations

Heidegger, Simon, et al.. (2023). Oncolytic virotherapy with chimeric VSV-NDV synergistically supports RIG-I-dependent checkpoint inhibitor immunotherapy. Molecular Therapy — Oncolytics. 30. 117–131. 6 indexed citations

Ecker, Veronika, Piero Giansanti, Aida Varela-Moreira, et al.. (2023). Negative feedback regulation of MAPK signaling is an important driver of chronic lymphocytic leukemia progression. Cell Reports. 42(10). 113017–113017. 7 indexed citations

Fischer, Julius, Erik Thiele Orberg, Dirk H. Busch, et al.. (2021). IFN-Gamma Producing Regulatory T Cells Counterbalance T Cell-Mediated Injury to the Intestinal Stem Cell Compartment in Mice and Humans. Blood. 138(Supplement 1). 89–89. 1 indexed citations

Poeck, Hendrik, et al.. (2021). <em>In Vivo</em> Immunogenicity Screening of Tumor-Derived Extracellular Vesicles by Flow Cytometry of Splenic T Cells. Journal of Visualized Experiments. 4 indexed citations

Heidegger, Simon, Alexander Wintges, Sarah Bek, et al.. (2019). RIG-I activation is critical for responsiveness to checkpoint blockade. Science Immunology. 4(39). 96 indexed citations

10.

Heidegger, Simon, et al.. (2019). Innate Immune Stimulation in Cancer Therapy. Hematology/Oncology Clinics of North America. 33(2). 215–231. 8 indexed citations

11.

Fischer, Julius, Michael Bscheider, Erik Thiele Orberg, et al.. (2019). Type I interferon signaling before hematopoietic stem cell transplantation lowers donor T cell activation via reduced allogenicity of recipient cells. Scientific Reports. 9(1). 14955–14955. 10 indexed citations

12.

Heidegger, Simon, Michael Bscheider, Tatiana Nedelko, et al.. (2019). RIG-I activating immunostimulatory RNA boosts the efficacy of anticancer vaccines and synergizes with immune checkpoint blockade. EBioMedicine. 41. 146–155. 36 indexed citations

13.

Fischer, Julius, Chia-Ching Lin, Simon Heidegger, et al.. (2018). Regeneration After Radiation- and Immune-Mediated Tissue Injury Is Not Enhanced by Type III Interferon Signaling. International Journal of Radiation Oncology*Biology*Physics. 103(4). 970–976. 4 indexed citations

14.

Fischer, Julius, Vera Otten, Christoph Drees, et al.. (2017). A20 Restrains Thymic Regulatory T Cell Development. The Journal of Immunology. 199(7). 2356–2365. 28 indexed citations

15.

Heidegger, Simon, et al.. (2015). Mycoplasma hyorhinis-Contaminated Cell Lines Activate Primary Innate Immune Cells via a Protease-Sensitive Factor. PLoS ONE. 10(11). e0142523–e0142523. 3 indexed citations

16.

Heidegger, Simon, Marcel R.M. van den Brink, Tobias Haas, & Hendrik Poeck. (2014). The Role of Pattern-Recognition Receptors in Graft-Versus-Host Disease and Graft-Versus-Leukemia after Allogeneic Stem Cell Transplantation. Frontiers in Immunology. 5. 337–337. 52 indexed citations

17.

Kobold, Sebastian, Till S. Clauditz, Sarah Minner, et al.. (2013). Interleukin-22 Is Frequently Expressed in Small- and Large-Cell Lung Cancer and Promotes Growth in Chemotherapy-Resistant Cancer Cells. Journal of Thoracic Oncology. 8(8). 1032–1042. 53 indexed citations

18.

Heidegger, Simon, C. Hotz, David Anz, et al.. (2013). TLR Activation Excludes Circulating Naive CD8+ T Cells from Gut-Associated Lymphoid Organs in Mice. The Journal of Immunology. 190(10). 5313–5320. 5 indexed citations

19.

Bourquin, Carole, C. Hotz, Daniel Noerenberg, et al.. (2011). Systemic Cancer Therapy with a Small Molecule Agonist of Toll-like Receptor 7 Can Be Improved by Circumventing TLR Tolerance. Cancer Research. 71(15). 5123–5133. 68 indexed citations

20.

Bourquin, Carole, Cornelia Wurzenberger, Simon Heidegger, et al.. (2010). Delivery of Immunostimulatory RNA Oligonucleotides by Gelatin Nanoparticles Triggers an Efficient Antitumoral Response. Journal of Immunotherapy. 33(9). 935–944. 26 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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