Klaus Heger

2.4k total citations
23 papers, 1.3k citations indexed

About

Klaus Heger is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Klaus Heger has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Klaus Heger's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and CAR-T cell therapy research (3 papers). Klaus Heger is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and CAR-T cell therapy research (3 papers). Klaus Heger collaborates with scholars based in Germany, United States and Australia. Klaus Heger's co-authors include Marc Schmidt‐Supprian, Florian Wilfling, Yi Guo, Tobias C. Walther, Robert V. Farese, Natalie Krahmer, Maximiliane Hilger, Matthias Mann, Susanne Lingrell and Dennis E. Vance and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Blood.

In The Last Decade

Klaus Heger

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus Heger Germany 13 681 524 315 160 141 23 1.3k
S H Chen United States 13 1.0k 1.5× 299 0.6× 142 0.5× 112 0.7× 90 0.6× 13 1.9k
Laura Rodríguez de la Ballina Norway 12 455 0.7× 99 0.2× 209 0.7× 143 0.9× 149 1.1× 18 848
Paola Roncaioli Italy 11 873 1.3× 387 0.7× 42 0.1× 70 0.4× 129 0.9× 14 1.2k
Paola Borgatti Italy 20 1.0k 1.5× 273 0.5× 42 0.1× 87 0.5× 189 1.3× 32 1.5k
Harald Dinter United States 17 590 0.9× 276 0.5× 41 0.1× 149 0.9× 77 0.5× 22 1.1k
Mujun Zhao China 17 663 1.0× 84 0.2× 73 0.2× 127 0.8× 202 1.4× 38 1.1k
Katsuji Sugie Japan 21 646 0.9× 817 1.6× 33 0.1× 122 0.8× 163 1.2× 38 1.5k
Mark R. Sullivan United States 10 733 1.1× 155 0.3× 148 0.5× 551 3.4× 52 0.4× 13 1.1k
Giulia Allavena Italy 16 643 0.9× 180 0.3× 55 0.2× 221 1.4× 203 1.4× 26 1.0k
Jens Hukelmann United Kingdom 14 720 1.1× 1.0k 1.9× 58 0.2× 312 1.9× 44 0.3× 20 1.6k

Countries citing papers authored by Klaus Heger

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Heger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Heger

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

All Works

20 of 20 papers shown
1.
Gitlin, Alexander D., Allie Maltzman, Klaus Heger, et al.. (2024). N4BP1 coordinates ubiquitin-dependent crosstalk within the IκB kinase family to limit Toll-like receptor signaling and inflammation. Immunity. 57(5). 973–986.e7. 13 indexed citations
2.
Lim, J. K., Katherine Williams, Paul Tyler, et al.. (2024). The Exonuclease TREX1 Constitutes an Innate Immune Checkpoint Limiting cGAS/STING-Mediated Antitumor Immunity. Cancer Immunology Research. 12(6). 663–672. 22 indexed citations
3.
Drees, Christoph, J. Christoph Vahl, Klaus Heger, et al.. (2017). Roquin Paralogs Differentially Regulate Functional NKT Cell Subsets. The Journal of Immunology. 198(7). 2747–2759. 11 indexed citations
4.
Heger, Klaus, Christoph Drees, Ingrid de Vries, et al.. (2015). A novel Cre recombinase reporter mouse strain facilitates selective and efficient infection of primary immune cells with adenoviral vectors. European Journal of Immunology. 45(6). 1614–1620. 8 indexed citations
5.
Peschke, Katrin, Klaus Heger, Rayk Behrendt, et al.. (2014). IκB Kinase 2 Is Essential for IgE-Induced Mast Cell De Novo Cytokine Production but Not for Degranulation. Cell Reports. 8(5). 1300–1307. 23 indexed citations
6.
Heger, Klaus, Kaat Fierens, J. Christoph Vahl, et al.. (2014). A20-Deficient Mast Cells Exacerbate Inflammatory Responses In Vivo. PLoS Biology. 12(1). e1001762–e1001762. 61 indexed citations
7.
Vahl, J. Christoph, Klaus Heger, Marco Y. Hein, et al.. (2013). NKT Cell-TCR Expression Activates Conventional T Cells in Vivo, but Is Largely Dispensable for Mature NKT Cell Biology. PLoS Biology. 11(6). e1001589–e1001589. 34 indexed citations
8.
Vogel, Katharina, Katharina M. Jeltsch, Arianna Bertossi, et al.. (2013). Roquin Paralogs 1 and 2 Redundantly Repress the Icos and Ox40 Costimulator mRNAs and Control Follicular Helper T Cell Differentiation. Immunity. 38(4). 655–668. 163 indexed citations
9.
Krahmer, Natalie, Yi Guo, Florian Wilfling, et al.. (2011). Phosphatidylcholine Synthesis for Lipid Droplet Expansion Is Mediated by Localized Activation of CTP:Phosphocholine Cytidylyltransferase. Cell Metabolism. 14(4). 504–515. 401 indexed citations
10.
Feige, Matthias J., et al.. (2010). Dissecting the Alternatively Folded State of the Antibody Fab Fragment. Journal of Molecular Biology. 399(5). 719–730. 15 indexed citations
11.
Chu, Yuanyuan, J. Christoph Vahl, Dilip Kumar, et al.. (2010). B cells lacking the tumor suppressor TNFAIP3/A20 display impaired differentiation and hyperactivation and cause inflammation and autoimmunity in aged mice. Blood. 117(7). 2227–2236. 150 indexed citations
12.
Mérino, Delphine, Maybelline Giam, Peter Hughes, et al.. (2009). The role of BH3-only protein Bim extends beyond inhibiting Bcl-2–like prosurvival proteins. The Journal of Cell Biology. 186(3). 355–362. 149 indexed citations
13.
Caminschi, Irina, Fatma Ahmet, Klaus Heger, et al.. (2007). Putative IKDCs are functionally and developmentally similar to natural killer cells, but not to dendritic cells. The Journal of Experimental Medicine. 204(11). 2579–2590. 95 indexed citations
14.
Weber, Arnim, Stefan A. Paschen, Klaus Heger, et al.. (2007). BimS-induced apoptosis requires mitochondrial localization but not interaction with anti-apoptotic Bcl-2 proteins. The Journal of Cell Biology. 177(4). 625–636. 71 indexed citations
15.
Heger, Klaus. (1995). Zur opposition von aber / pero vs. sondern / sino. Dialnet (Universidad de la Rioja). 349–358.
16.
Gülich, Elisabeth, et al.. (1979). Linguistische Textanalyse. Überlegungen zur Gliederung von Texten. PUB – Publications at Bielefeld University (Bielefeld University). 8.
17.
Heger, Klaus. (1976). Monem, Wort, Satz und Text. 11 indexed citations
18.
Heger, Klaus. (1971). Monem, Wort und Satz. M. Niemeyer eBooks. 5 indexed citations
19.
Heger, Klaus. (1967). La conjugación objetiva en castellano y en francés. 1(2). 153–175. 1 indexed citations
20.
Heger, Klaus. (1964). Kriterien zur Bewertung der lexikalischen Sonderstellung einer Sprachlandschaft. Zeitschrift für romanische Philologie (ZrP). 80(1-2). 1 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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