Andreas Schlitzer

23.4k total citations · 5 hit papers
40 papers, 5.2k citations indexed

About

Andreas Schlitzer is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Andreas Schlitzer has authored 40 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 12 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Andreas Schlitzer's work include Immunotherapy and Immune Responses (17 papers), T-cell and B-cell Immunology (11 papers) and Immune cells in cancer (10 papers). Andreas Schlitzer is often cited by papers focused on Immunotherapy and Immune Responses (17 papers), T-cell and B-cell Immunology (11 papers) and Immune cells in cancer (10 papers). Andreas Schlitzer collaborates with scholars based in Germany, Singapore and Netherlands. Andreas Schlitzer's co-authors include Florent Ginhoux, Joachim L. Schultze, Leo A. B. Joosten, Elvira Mass, Mihai G. Netea, J.W.M. van der Meer, Jorge Domínguez‐Andrés, Elaine Fuchs, Niels P. Riksen and Eicke Latz and has published in prestigious journals such as Cell, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Andreas Schlitzer

37 papers receiving 5.2k citations

Hit Papers

5 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.

Defining trained immunity and its role in health and disease

2020 1.6k citations Mihai G. Netea, Jorge Domínguez‐Andrés et al. Nature reviews. Immunology profile →
Minimal Differentiation of Classical Monocytes as They Survey Steady-State Tissues and Transport Antigen to Lymph Nodes

2013 564 citations Andreas Schlitzer, Florent Ginhoux et al. profile →
Fate Mapping via Ms4a3-Expression History Traces Monocyte-Derived Cells

2019 410 citations Svetoslav Chakarov, Regine J. Dress et al. profile →
Innate and Adaptive Immune Memory: an Evolutionary Continuum in the Host’s Response to Pathogens

2019 369 citations Andreas Schlitzer, Leo A. B. Joosten et al. profile →
Tissue-specific macrophages: how they develop and choreograph tissue biology

2023 309 citations Elvira Mass, Falk Nimmerjahn et al. Nature reviews. Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Schlitzer Germany	22	4.0k	1.3k	608	441	431	40	5.2k
Dimitrios C. Mastellos United States	40	4.0k 1.0×	1.2k 1.0×	1.2k 2.0×	893 2.0×	424 1.0×	76	6.8k
Claudia Kemper United States	48	5.2k 1.3×	1.5k 1.2×	739 1.2×	970 2.2×	540 1.3×	136	7.9k
Jeff E. Mold Sweden	25	2.0k 0.5×	841 0.7×	398 0.7×	470 1.1×	215 0.5×	41	3.8k
Anja Roos Netherlands	41	4.3k 1.1×	1.4k 1.1×	599 1.0×	503 1.1×	182 0.4×	74	6.6k
Edimara S. Reis United States	32	2.9k 0.7×	836 0.6×	324 0.5×	397 0.9×	272 0.6×	61	4.5k
Loems Ziegler‐Heitbrock Germany	28	3.5k 0.9×	1.1k 0.9×	370 0.6×	884 2.0×	698 1.6×	54	5.4k
Wilhelm Schwaeble United Kingdom	53	5.8k 1.5×	1.4k 1.1×	611 1.0×	1.2k 2.8×	415 1.0×	157	8.0k
Linde Meyaard Netherlands	47	4.3k 1.1×	1.0k 0.8×	699 1.1×	995 2.3×	855 2.0×	120	6.4k
Laura K. Mackay Australia	35	5.0k 1.2×	727 0.6×	287 0.5×	719 1.6×	1.4k 3.2×	71	6.3k
Andreas Klos Germany	36	3.2k 0.8×	1.3k 1.0×	419 0.7×	885 2.0×	193 0.4×	114	5.3k

Countries citing papers authored by Andreas Schlitzer

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Schlitzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Schlitzer

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

Wen, Peng, David Alejandro Bejarano, Margot Meunier, et al.. (2025). Endothelial-driven TGFβ signaling supports lung interstitial macrophage development from monocytes. Science Immunology. 10(106). eadr4977–eadr4977. 3 indexed citations

Jux, Bettina, Elena De Domenico, Marc Beyer, et al.. (2025). Impaired primitive erythropoiesis and defective vascular development in Trim71-KO embryos. Life Science Alliance. 8(4). e202402956–e202402956.

Merkt, Simon, Geoffroy Andrieux, Elisa Nent, et al.. (2025). Early microglia progenitors colonize the embryonic CNS via integrin-mediated migration from the pial surface. Developmental Cell. 61(1). 85–101.e7.

Monasterio, Gustavo, Rodrigo A. Morales, David Alejandro Bejarano, et al.. (2024). A versatile tissue-rolling technique for spatial-omics analyses of the entire murine gastrointestinal tract. Nature Protocols. 19(10). 3085–3137. 3 indexed citations

Bejarano, David Alejandro, Hao Huang, Kevin Baßler, et al.. (2024). Fetal liver macrophages contribute to the hematopoietic stem cell niche by controlling granulopoiesis. eLife. 13. 19 indexed citations

Huber, Johanna E., Ilia Kurochkin, Yinshui Chang, et al.. (2024). Genomic deletion of Bcl6 differentially affects conventional dendritic cell subsets and compromises Tfh/Tfr/Th17 cell responses. Nature Communications. 15(1). 3554–3554. 3 indexed citations

Mass, Elvira, Falk Nimmerjahn, Katrin Kierdorf, & Andreas Schlitzer. (2023). Tissue-specific macrophages: how they develop and choreograph tissue biology. Nature reviews. Immunology. 23(9). 563–579. 309 indexed citations breakdown →

Bayerl, Felix, David Alejandro Bejarano, Anne‐Claire Doffin, et al.. (2023). Guidelines for visualization and analysis of DC in tissues using multiparameter fluorescence microscopy imaging methods. European Journal of Immunology. 53(11). e2249923–e2249923. 14 indexed citations

Hauschild, Robert, Lili Zhang, Thomas Quast, et al.. (2022). Multiple centrosomes enhance migration and immune cell effector functions of mature dendritic cells. The Journal of Cell Biology. 221(12). 13 indexed citations

10.

Hildebrand, Staffan, Mahrous A. Ibrahim, Andreas Schlitzer, et al.. (2022). PDGF regulates guanylate cyclase expression and cGMP signaling in vascular smooth muscle. Communications Biology. 5(1). 197–197. 17 indexed citations

11.

Netea, Mihai G., Jorge Domínguez‐Andrés, Luis B. Barreiro, et al.. (2020). Defining trained immunity and its role in health and disease. Nature reviews. Immunology. 20(6). 375–388. 1595 indexed citations breakdown →

12.

Dress, Regine J., Charles‐Antoine Dutertre, Amir Giladi, et al.. (2019). Plasmacytoid dendritic cells develop from Ly6D+ lymphoid progenitors distinct from the myeloid lineage. Nature Immunology. 20(7). 852–864. 154 indexed citations

13.

Mitsi, Elena, Beatriz F. Carniel, Jesús Reiné, et al.. (2019). Nasal Pneumococcal Density Is Associated with Microaspiration and Heightened Human Alveolar Macrophage Responsiveness to Bacterial Pathogens. American Journal of Respiratory and Critical Care Medicine. 201(3). 335–347. 24 indexed citations

14.

Lee, Quintin, Alex C. H. Wong, Justin Wong, et al.. (2018). Differential chemokine receptor expression and usage by pre‐cDC1 and pre‐cDC2. Immunology and Cell Biology. 96(10). 1131–1139. 21 indexed citations

15.

Chen, Jinmiao, Andreas Schlitzer, Svetoslav Chakarov, Florent Ginhoux, & Michael Poidinger. (2016). Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development. Nature Communications. 7(1). 11988–11988. 50 indexed citations

16.

McGovern, Naomi, Andreas Schlitzer, Baptiste Janela, & Florent Ginhoux. (2016). Protocols for the Identification and Isolation of Antigen-Presenting Cells in Human and Mouse Tissues. Methods in molecular biology. 1423. 169–180. 7 indexed citations

17.

Schlitzer, Andreas, V. Sivakamasundari, Jinmiao Chen, et al.. (2015). Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow. Nature Immunology. 16(7). 718–728. 382 indexed citations

18.

Becher, Burkhard, Andreas Schlitzer, Jinmiao Chen, et al.. (2014). High-dimensional analysis of the murine myeloid cell system. Nature Immunology. 15(12). 1181–1189. 250 indexed citations

19.

Schlitzer, Andreas & Florent Ginhoux. (2013). Organization of the mouse and human DC network. Current Opinion in Immunology. 26. 90–99. 120 indexed citations

20.

Kandasamy, Matheswaran, Adrian W. S. Ho, Hermi Sumatoh, et al.. (2013). Complement Mediated Signaling on Pulmonary CD103+ Dendritic Cells Is Critical for Their Migratory Function in Response to Influenza Infection. PLoS Pathogens. 9(1). e1003115–e1003115. 45 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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