Torben Gehring

616 total citations
9 papers, 345 citations indexed

About

Torben Gehring is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Torben Gehring has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Torben Gehring's work include interferon and immune responses (4 papers), NF-κB Signaling Pathways (4 papers) and Immunotherapy and Immune Responses (3 papers). Torben Gehring is often cited by papers focused on interferon and immune responses (4 papers), NF-κB Signaling Pathways (4 papers) and Immunotherapy and Immune Responses (3 papers). Torben Gehring collaborates with scholars based in Germany, Canada and France. Torben Gehring's co-authors include Daniel Krappmann, Thomas Seeholzer, Jürgen Ruland, Andreas Gewies, Katja Lammens, Kamyar Hadian, Jara Kerstin Brenke, Kenji Schorpp, Isabel Meininger and Marc Schmidt‐Supprian and has published in prestigious journals such as Nature Communications, Cellular and Molecular Life Sciences and Frontiers in Immunology.

In The Last Decade

Torben Gehring

9 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Torben Gehring Germany	8	197	173	151	98	33	9	345
Faten El Hage France	9	246 1.2×	124 0.7×	88 0.6×	138 1.4×	35 1.1×	10	378
Boris San Luis United States	9	214 1.1×	191 1.1×	108 0.7×	119 1.2×	35 1.1×	12	376
Esther Navarro Manzano Spain	6	157 0.8×	212 1.2×	132 0.9×	137 1.4×	45 1.4×	15	398
Cassidy E. Hagan United States	4	170 0.9×	219 1.3×	71 0.5×	94 1.0×	39 1.2×	5	376
Émilie Jacque France	8	147 0.7×	125 0.7×	108 0.7×	75 0.8×	23 0.7×	12	297
Matthew J. Simmons United States	8	134 0.7×	251 1.5×	77 0.5×	107 1.1×	27 0.8×	8	366
Jovan Shepherd United States	7	241 1.2×	303 1.8×	294 1.9×	40 0.4×	23 0.7×	7	530
Carolyn L. Zawislak United States	5	265 1.3×	129 0.7×	136 0.9×	45 0.5×	38 1.2×	6	379
Carmen O.N. Leung Hong Kong	9	103 0.5×	292 1.7×	258 1.7×	42 0.4×	21 0.6×	9	429
Z. Buket Yilmaz Germany	5	340 1.7×	117 0.7×	294 1.9×	110 1.1×	19 0.6×	5	453

Countries citing papers authored by Torben Gehring

Since Specialization

Citations

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

Fields of papers citing papers by Torben Gehring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torben Gehring

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

All Works

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9 of 9 papers shown

1.

Karayel, Özge, Torben Gehring, Andrew Flatley, et al.. (2022). Phosphorylation of serine-893 in CARD11 suppresses the formation and activity of the CARD11-BCL10-MALT1 complex in T and B cells. Science Signaling. 15(723). eabk3083–eabk3083. 5 indexed citations

2.

Karayel, Özge, Ying-Yin Chao, Thomas Seeholzer, et al.. (2022). A20 and ABIN-1 cooperate in balancing CBM complex-triggered NF-κB signaling in activated T cells. Cellular and Molecular Life Sciences. 79(2). 112–112. 17 indexed citations

3.

Rosenbaum, Marc, Andreas Gewies, Konstanze Pechloff, et al.. (2019). Bcl10-controlled Malt1 paracaspase activity is key for the immune suppressive function of regulatory T cells. Nature Communications. 10(1). 2352–2352. 60 indexed citations

4.

Gehring, Torben, Tabea Erdmann, Carina Graß, et al.. (2019). MALT1 Phosphorylation Controls Activation of T Lymphocytes and Survival of ABC-DLBCL Tumor Cells. Cell Reports. 29(4). 873–888.e10. 22 indexed citations

5.

Seeholzer, Thomas, Ambroise Desfosses, Torben Gehring, et al.. (2018). Molecular architecture and regulation of BCL10-MALT1 filaments. Nature Communications. 9(1). 4041–4041. 49 indexed citations

6.

Seeholzer, Thomas, et al.. (2018). BCL10-CARD11 Fusion Mimics an Active CARD11 Seed That Triggers Constitutive BCL10 Oligomerization and Lymphocyte Activation. Frontiers in Immunology. 9. 2695–2695. 12 indexed citations

7.

Gehring, Torben, Thomas Seeholzer, & Daniel Krappmann. (2018). BCL10 – Bridging CARDs to Immune Activation. Frontiers in Immunology. 9. 1539–1539. 44 indexed citations

8.

Schorpp, Kenji, et al.. (2017). YOD1/TRAF6 association balances p62-dependent IL-1 signaling to NF-κB. eLife. 6. 55 indexed citations

9.

Meininger, Isabel, Desheng Hu, Torben Gehring, et al.. (2016). Alternative splicing of MALT1 controls signalling and activation of CD4+ T cells. Nature Communications. 7(1). 11292–11292. 81 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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