Hannes Datler

674 total citations · 1 hit paper
6 papers, 537 citations indexed

About

Hannes Datler is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hannes Datler has authored 6 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Hannes Datler's work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). Hannes Datler is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). Hannes Datler collaborates with scholars based in Austria, Slovakia and Germany. Hannes Datler's co-authors include Alice Assinger, Johannes A. Schmid, Manuel Salzmann, Bastian Hoesel, Christian Schoergenhofer, Philipp J. Hohensinner, Christine Brostjan, Peter Petzelbauer, Marion Mußbacher and José Basílio and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and Cell Reports.

In The Last Decade

Hannes Datler

6 papers receiving 533 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.

Cell Type-Specific Roles of NF-κB Linking Inflammation and Thrombosis

2019 467 citations Marion Mußbacher, Manuel Salzmann et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannes Datler Austria	6	221	195	78	70	45	6	537
Graziele L. Negreiros-Lima Brazil	10	204 0.9×	190 1.0×	65 0.8×	44 0.6×	32 0.7×	10	485
Jeong-Eun Kwon South Korea	12	155 0.7×	305 1.6×	111 1.4×	78 1.1×	41 0.9×	24	628
Haiyan Zhu China	12	266 1.2×	226 1.2×	56 0.7×	65 0.9×	24 0.5×	29	591
Xiangna Cai China	9	294 1.3×	264 1.4×	34 0.4×	52 0.7×	45 1.0×	15	604
Shinsuke Chida Japan	5	155 0.7×	179 0.9×	33 0.4×	88 1.3×	42 0.9×	7	522
Fei Song China	14	154 0.7×	120 0.6×	30 0.4×	93 1.3×	88 2.0×	36	547
Mitra Abbasifard Iran	13	128 0.6×	168 0.9×	74 0.9×	93 1.3×	79 1.8×	56	650
Mélanie Pucelle France	13	153 0.7×	279 1.4×	95 1.2×	70 1.0×	72 1.6×	16	726
Hong Yue United States	15	97 0.4×	275 1.4×	141 1.8×	48 0.7×	91 2.0×	28	638
Su Zhang Sweden	14	308 1.4×	187 1.0×	39 0.5×	144 2.1×	68 1.5×	16	647

Countries citing papers authored by Hannes Datler

Since Specialization

Citations

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

Fields of papers citing papers by Hannes Datler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Datler

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Vogel, Andrea, Klara Soukup, Angela Halfmann, et al.. (2022). JAK1 signaling in dendritic cells promotes peripheral tolerance in autoimmunity through PD-L1-mediated regulatory T cell induction. Cell Reports. 38(8). 110420–110420. 25 indexed citations

2.

Kuttke, Mario, Julia S. Brunner, Andrea Vogel, et al.. (2022). PI3K Signaling in Dendritic Cells Aggravates DSS-Induced Colitis. Frontiers in Immunology. 13. 695576–695576. 8 indexed citations

3.

Mußbacher, Marion, Manuel Salzmann, Christine Brostjan, et al.. (2019). Cell Type-Specific Roles of NF-κB Linking Inflammation and Thrombosis. Frontiers in Immunology. 10. 85–85. 467 indexed citations breakdown →

4.

Datler, Hannes, Andrea Vogel, Martina Kerndl, et al.. (2019). PI3K activity in dendritic cells exerts paradoxical effects during autoimmune inflammation. Molecular Immunology. 111. 32–42. 13 indexed citations

5.

Kral‐Pointner, Julia B., Waltraud C. Schrottmaier, Hannes Datler, et al.. (2017). Myeloid but not epithelial tissue factor exerts protective anti‐inflammatory effects in acid aspiration‐induced acute lung injury. Journal of Thrombosis and Haemostasis. 15(8). 1625–1639. 15 indexed citations

6.

Sahin, Emine, Julia S. Brunner, Julia Barbara Kral, et al.. (2015). Loss of Phosphatase and Tensin Homolog in APCs Impedes Th17-Mediated Autoimmune Encephalomyelitis. The Journal of Immunology. 195(6). 2560–2570. 9 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.

Explore authors with similar magnitude of impact