Lukas Rindlisbacher

492 total citations · 1 hit paper
7 papers, 262 citations indexed

About

Lukas Rindlisbacher is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Lukas Rindlisbacher has authored 7 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Genetics. Recurrent topics in Lukas Rindlisbacher's work include Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Lukas Rindlisbacher is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Lukas Rindlisbacher collaborates with scholars based in Switzerland, Germany and United Kingdom. Lukas Rindlisbacher's co-authors include Burkhard Becher, Sònia Tugues, Giulia Agliardi, Cassandra Stowe, Nicolás Gonzalo Núñez, Thomas A. Roberts, Anna Rita Liuzzi, Donatella De Feo, Francesco Nannini and Mark F. Lythgoe and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Lukas Rindlisbacher

6 papers receiving 261 citations

Hit Papers

Intratumoral IL-12 delive... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas Rindlisbacher Switzerland 4 176 129 76 69 56 7 262
Alastair Hotblack United Kingdom 7 225 1.3× 141 1.1× 128 1.7× 113 1.6× 70 1.3× 10 340
Cassandra Stowe United Kingdom 5 170 1.0× 110 0.9× 159 2.1× 99 1.4× 63 1.1× 6 347
Anat Globerson Levin Israel 11 226 1.3× 135 1.0× 183 2.4× 104 1.5× 45 0.8× 20 370
Monica Epstein United States 3 330 1.9× 149 1.2× 72 0.9× 131 1.9× 60 1.1× 5 395
F Straßheimer Germany 5 160 0.9× 143 1.1× 50 0.7× 28 0.4× 28 0.5× 14 232
Ramizah Syahirah United States 8 117 0.7× 187 1.4× 125 1.6× 82 1.2× 28 0.5× 11 329
Deanna Langfitt United States 8 246 1.4× 117 0.9× 117 1.5× 75 1.1× 71 1.3× 15 315
Walid Warda France 7 132 0.8× 61 0.5× 82 1.1× 34 0.5× 42 0.8× 8 222
Adam M. Swartz United States 10 196 1.1× 206 1.6× 126 1.7× 45 0.7× 24 0.4× 18 364
Caiying Jiang China 5 236 1.3× 130 1.0× 61 0.8× 55 0.8× 58 1.0× 7 277

Countries citing papers authored by Lukas Rindlisbacher

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Rindlisbacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Rindlisbacher

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

All Works

7 of 7 papers shown
1.
Vermeer, Marijne, Colin Sparano, Maud Mayoux, et al.. (2025). Tissue localization of natural killer cells dictates surveillance of lung metastasis. Nature Communications. 16(1). 9464–9464.
2.
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
3.
Ingelfinger, Florian, Lukas Rindlisbacher, Sarah Mundt, et al.. (2024). Twin study dissects CXCR3+ memory B cells as non-heritable feature in multiple sclerosis. Med. 5(4). 368–373.e3. 2 indexed citations
4.
Look, Thomas, Emanuele Puca, Daniel S. Kirschenbaum, et al.. (2023). Targeted delivery of tumor necrosis factor in combination with CCNU induces a T cell–dependent regression of glioblastoma. Science Translational Medicine. 15(697). eadf2281–eadf2281. 24 indexed citations
5.
Wertheimer, Tobias, Odit Gutwein, Ester Cannizzaro, et al.. (2023). Deciphering the Dynamics of the B-NHL Single-Cell Landscape during BTK Inhibition. Blood. 142(Supplement 1). 3007–3007. 1 indexed citations
6.
Ingelfinger, Florian, Colin Sparano, David Reyes‐Leiva, et al.. (2022). Azathioprine therapy induces selective NK cell depletion and IFN-γ deficiency predisposing to herpesvirus reactivation. Journal of Allergy and Clinical Immunology. 151(1). 280–286.e2. 7 indexed citations
7.
Agliardi, Giulia, Anna Rita Liuzzi, Alastair Hotblack, et al.. (2021). Intratumoral IL-12 delivery empowers CAR-T cell immunotherapy in a pre-clinical model of glioblastoma. Nature Communications. 12(1). 444–444. 222 indexed citations breakdown →

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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