Torsten Hartwig

1.3k total citations
9 papers, 707 citations indexed

About

Torsten Hartwig is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Torsten Hartwig has authored 9 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Torsten Hartwig's work include interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (4 papers) and Cell death mechanisms and regulation (3 papers). Torsten Hartwig is often cited by papers focused on interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (4 papers) and Cell death mechanisms and regulation (3 papers). Torsten Hartwig collaborates with scholars based in United Kingdom, Germany and United States. Torsten Hartwig's co-authors include Henning Walczak, Élodie Lafont, Lucia Taraborrelli, Peter Dráber, Silvia Šurinová, Sebastian Kupka, Eva Rieser, Diego de Miguel, Matthias Reichert and Silvia von Karstedt and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Torsten Hartwig

9 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Torsten Hartwig United Kingdom	8	566	370	218	161	75	9	707
Lucia Taraborrelli United Kingdom	8	769 1.4×	535 1.4×	321 1.5×	225 1.4×	106 1.4×	8	958
Sebastian Kupka United Kingdom	7	646 1.1×	429 1.2×	258 1.2×	159 1.0×	113 1.5×	7	790
Vinay A. Arora Canada	4	452 0.8×	243 0.7×	192 0.9×	136 0.8×	72 1.0×	5	590
Nisha H. Kabra United States	8	765 1.4×	598 1.6×	223 1.0×	192 1.2×	88 1.2×	8	1.0k
Vladimir Poltoratsky United States	15	570 1.0×	204 0.6×	127 0.6×	149 0.9×	62 0.8×	20	799
C. Sheehan Canada	9	364 0.6×	363 1.0×	150 0.7×	328 2.0×	31 0.4×	9	818
Shaina N. Porter United States	14	597 1.1×	181 0.5×	71 0.3×	93 0.6×	42 0.6×	21	758
Juthathip Mongkolsapaya United Kingdom	4	382 0.7×	245 0.7×	124 0.6×	81 0.5×	56 0.7×	5	477
Irene Ischenko United States	16	464 0.8×	169 0.5×	110 0.5×	294 1.8×	30 0.4×	23	748
Haili Cui United States	8	331 0.6×	397 1.1×	113 0.5×	93 0.6×	50 0.7×	13	601

Countries citing papers authored by Torsten Hartwig

Since Specialization

Citations

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

Fields of papers citing papers by Torsten Hartwig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Hartwig

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

Hartwig, Torsten, Jürgen Fritsch, Steven Singh, et al.. (2021). TRAIL-receptor 2—a novel negative regulator of p53. Cell Death and Disease. 12(8). 757–757. 10 indexed citations

Taraborrelli, Lucia, Nieves Peltzer, Antonella Montinaro, et al.. (2018). LUBAC prevents lethal dermatitis by inhibiting cell death induced by TNF, TRAIL and CD95L. Nature Communications. 9(1). 3910–3910. 80 indexed citations

Montinaro, Antonella, Silvia von Karstedt, Johannes Lemke, et al.. (2018). Abstract B13: The impact of combined CDK9 inhibition and TRAIL treatment on NSCLC. Clinical Cancer Research. 24(17_Supplement). B13–B13. 1 indexed citations

Lafont, Élodie, Chahrazade Kantari‐Mimoun, Peter Dráber, et al.. (2017). The linear ubiquitin chain assembly complex regulates TRAIL ‐induced gene activation and cell death. The EMBO Journal. 36(9). 1147–1166. 91 indexed citations

Lafont, Élodie, Torsten Hartwig, & Henning Walczak. (2017). Paving TRAIL’s Path with Ubiquitin. Trends in Biochemical Sciences. 43(1). 44–60. 38 indexed citations

Hartwig, Torsten, Antonella Montinaro, Silvia von Karstedt, et al.. (2017). The TRAIL-Induced Cancer Secretome Promotes a Tumor-Supportive Immune Microenvironment via CCR2. Molecular Cell. 65(4). 730–742.e5. 180 indexed citations

Zinngrebe, Julia, Eva Rieser, Lucia Taraborrelli, et al.. (2016). LUBAC deficiency perturbs TLR3 signaling to cause immunodeficiency and autoinflammation. The Journal of Experimental Medicine. 213(12). 2671–2689. 66 indexed citations

Dráber, Peter, Sebastian Kupka, Matthias Reichert, et al.. (2015). LUBAC-Recruited CYLD and A20 Regulate Gene Activation and Cell Death by Exerting Opposing Effects on Linear Ubiquitin in Signaling Complexes. Cell Reports. 13(10). 2258–2272. 226 indexed citations

Zhu, Jing, et al.. (2008). The Kv1.2 potassium channel: The position of an N-glycan on the extracellular linkers affects its protein expression and function. Brain Research. 1251. 16–29. 15 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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