Thomas S. Ebert

2.9k total citations · 2 hit papers
17 papers, 2.1k citations indexed

About

Thomas S. Ebert is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas S. Ebert has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Immunology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas S. Ebert's work include interferon and immune responses (7 papers), Inflammasome and immune disorders (6 papers) and Immune Response and Inflammation (4 papers). Thomas S. Ebert is often cited by papers focused on interferon and immune responses (7 papers), Inflammasome and immune disorders (6 papers) and Immune Response and Inflammation (4 papers). Thomas S. Ebert collaborates with scholars based in Germany, United States and Australia. Thomas S. Ebert's co-authors include Veit Hornung, Jonathan L. Schmid‐Burgk, Tobias Schmidt, Moritz M. Gaidt, Dhruv Chauhan, Thomas Graf, Avril A. B. Robertson, Francesca Rapino, Matthew A. Cooper and Eicke Latz and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Thomas S. Ebert

17 papers receiving 2.1k citations

Hit Papers

Human Monocytes Engage an Alternative Inflammasome Pathway 2016 2026 2019 2022 2016 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas S. Ebert Germany 11 1.7k 1.1k 202 197 188 17 2.1k
Dhruv Chauhan Germany 10 1.7k 1.0× 1.2k 1.1× 221 1.1× 192 1.0× 186 1.0× 11 2.1k
Salina Louie United States 9 2.3k 1.4× 1.2k 1.1× 108 0.5× 281 1.4× 247 1.3× 14 2.7k
Moritz M. Gaidt Germany 17 2.0k 1.2× 1.7k 1.6× 404 2.0× 169 0.9× 298 1.6× 22 2.8k
Mercedes Monteleone Australia 14 1.7k 1.0× 866 0.8× 393 1.9× 192 1.0× 349 1.9× 20 2.2k
Jueqi Chen United States 7 1.4k 0.9× 1.2k 1.1× 183 0.9× 101 0.5× 217 1.2× 9 2.0k
Tatsuya Kozaki Japan 13 1.0k 0.6× 997 0.9× 170 0.8× 127 0.6× 245 1.3× 19 1.9k
Sebastian Rühl Switzerland 9 2.4k 1.4× 1.1k 1.0× 128 0.6× 411 2.1× 230 1.2× 11 2.7k
Fiachra Humphries United States 15 1.0k 0.6× 770 0.7× 222 1.1× 132 0.7× 141 0.8× 32 1.6k
Liudmila Andreeva Germany 7 1.3k 0.8× 968 0.9× 187 0.9× 133 0.7× 147 0.8× 8 1.7k
Sree R. Ramani United States 9 1.1k 0.7× 699 0.6× 75 0.4× 120 0.6× 164 0.9× 10 1.5k

Countries citing papers authored by Thomas S. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. Ebert. 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 Thomas S. Ebert. The network helps show where Thomas S. Ebert may publish in the future.

Co-authorship network of co-authors of Thomas S. Ebert

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

All Works

17 of 17 papers shown
1.
Chong, Zhenlu, Sharmila Nair, Lomon So, et al.. (2024). Oligoadenylate synthetase 1 displays dual antiviral mechanisms in driving translational shutdown and protecting interferon production. Immunity. 57(3). 446–461.e7. 13 indexed citations
2.
So, Lomon, Thomas S. Ebert, Veit Hornung, et al.. (2024). The canonical antiviral protein oligoadenylate synthetase 1 elicits antibacterial functions by enhancing IRF1 translation. Immunity. 57(8). 1812–1827.e7. 4 indexed citations
3.
Andersen, Line Lykke, Yiqi Huang, Christian Urban, et al.. (2023). Systematic P2Y receptor survey identifies P2Y11 as modulator of immune responses and virus replication in macrophages. The EMBO Journal. 42(23). e113279–e113279. 3 indexed citations
4.
Glück, Ivo M., Sebastian Strauss, Thomas S. Ebert, et al.. (2023). Nanoscale organization of the endogenous ASC speck. iScience. 26(12). 108382–108382. 6 indexed citations
5.
Mangan, Matthew, Karoline Krause, Anne Pankow, et al.. (2022). Transcriptional licensing is required for Pyrin inflammasome activation in human macrophages and bypassed by mutations causing familial Mediterranean fever. PLoS Biology. 20(11). e3001351–e3001351. 9 indexed citations
6.
Glück, Ivo M., Sebastian Strauss, Thomas S. Ebert, et al.. (2022). Nanoscale Organization of the Endogenous ASC Speck. SSRN Electronic Journal. 1 indexed citations
7.
Ranjbar, Shahin, Viraga Haridas, Aya Nambu, et al.. (2019). Cytoplasmic RNA Sensor Pathways and Nitazoxanide Broadly Inhibit Intracellular Mycobacterium tuberculosis Growth. iScience. 22. 299–313. 25 indexed citations
8.
Gaidt, Moritz M., Thomas S. Ebert, Dhruv Chauhan, et al.. (2017). The DNA Inflammasome in Human Myeloid Cells Is Initiated by a STING-Cell Death Program Upstream of NLRP3. Cell. 171(5). 1110–1124.e18. 475 indexed citations breakdown →
9.
Gaidt, Moritz M., Thomas S. Ebert, Dhruv Chauhan, et al.. (2016). Human Monocytes Engage an Alternative Inflammasome Pathway. Immunity. 44(4). 833–846. 591 indexed citations breakdown →
10.
Schmid‐Burgk, Jonathan L., Klara Höning, Thomas S. Ebert, & Veit Hornung. (2016). CRISPaint allows modular base-specific gene tagging using a ligase-4-dependent mechanism. Nature Communications. 7(1). 12338–12338. 125 indexed citations
11.
Sun, Jing, Ning Li, Bhaskar Dutta, et al.. (2016). Comprehensive RNAi-based screening of human and mouse TLR pathways identifies species-specific preferences in signaling protein use. Science Signaling. 9(409). ra3–ra3. 63 indexed citations
12.
Sun, Jing, Ning Li, Kyu‐Seon Oh, et al.. (2016). Comprehensive RNAi-based screening of human and mouse TLR pathways identifies species-specific preferences in signaling protein use. The Journal of Immunology. 196(1_Supplement). 203.22–203.22. 1 indexed citations
13.
Wittmann, Sabine, Rayk Behrendt, Dominique Thomas, et al.. (2015). Phosphorylation of murine SAMHD1 regulates its antiretroviral activity. Retrovirology. 12(1). 103–103. 37 indexed citations
14.
Schmidt, Tobias, Jonathan L. Schmid‐Burgk, Thomas S. Ebert, Moritz M. Gaidt, & Veit Hornung. (2015). Designer Nuclease-Mediated Generation of Knockout THP1 Cells. Methods in molecular biology. 1338. 261–272. 18 indexed citations
15.
Schmid‐Burgk, Jonathan L., Dhruv Chauhan, Tobias Schmidt, et al.. (2015). A Genome-wide CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) Screen Identifies NEK7 as an Essential Component of NLRP3 Inflammasome Activation. Journal of Biological Chemistry. 291(1). 103–109. 363 indexed citations
16.
Schmid‐Burgk, Jonathan L., Moritz M. Gaidt, Tobias Schmidt, et al.. (2015). Caspase‐4 mediates non‐canonical activation of the NLRP3 inflammasome in human myeloid cells. European Journal of Immunology. 45(10). 2911–2917. 256 indexed citations
17.
Schmid‐Burgk, Jonathan L., Tobias Schmidt, Moritz M. Gaidt, et al.. (2014). OutKnocker: a web tool for rapid and simple genotyping of designer nuclease edited cell lines. Genome Research. 24(10). 1719–1723. 100 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

Rankless by CCL
2026