Steffen Salzmann

415 total citations
9 papers, 351 citations indexed

About

Steffen Salzmann is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Steffen Salzmann has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Steffen Salzmann's work include NF-κB Signaling Pathways (6 papers), Cell death mechanisms and regulation (5 papers) and interferon and immune responses (2 papers). Steffen Salzmann is often cited by papers focused on NF-κB Signaling Pathways (6 papers), Cell death mechanisms and regulation (5 papers) and interferon and immune responses (2 papers). Steffen Salzmann collaborates with scholars based in Germany, United States and Belgium. Steffen Salzmann's co-authors include Harald Wajant, Frank Henkler, Andreas Wicovsky, Daniela Siegmund, C. Kneitz, Axel Seher, Peter Scheurich, Christian Kneitz, Nicole Müller and Holger Kalthoff and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Steffen Salzmann

9 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Salzmann Germany 9 212 201 166 66 21 9 351
Hiroyo Oda Japan 11 267 1.3× 154 0.8× 213 1.3× 90 1.4× 9 0.4× 15 488
Doowon Huh United States 4 339 1.6× 226 1.1× 55 0.3× 88 1.3× 5 0.2× 7 456
I‐Ying Kuo Taiwan 14 357 1.7× 123 0.6× 94 0.6× 109 1.7× 4 0.2× 24 520
Keith Giza United States 6 170 0.8× 101 0.5× 172 1.0× 51 0.8× 25 1.2× 7 357
Alan K. Lofquist United States 10 244 1.2× 55 0.3× 138 0.8× 55 0.8× 10 0.5× 11 395
Thorsten Sebens Germany 5 144 0.7× 92 0.5× 122 0.7× 217 3.3× 7 0.3× 8 375
Yunping Luo China 10 313 1.5× 265 1.3× 109 0.7× 114 1.7× 13 0.6× 12 474
Cora Bucana United States 8 193 0.9× 58 0.3× 90 0.5× 92 1.4× 17 0.8× 8 337
Dilip Kumar Singapore 8 131 0.6× 99 0.5× 187 1.1× 70 1.1× 7 0.3× 15 351
Shenyi Lian China 10 283 1.3× 100 0.5× 73 0.4× 78 1.2× 7 0.3× 23 369

Countries citing papers authored by Steffen Salzmann

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Salzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Salzmann

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

All Works

9 of 9 papers shown
1.
Salzmann, Steffen, et al.. (2014). Analyzing the Signaling Capabilities of Soluble and Membrane TWEAK. Methods in molecular biology. 1155. 31–45. 10 indexed citations
2.
Salzmann, Steffen, et al.. (2013). Fibroblast Growth Factor Inducible (Fn14)-specific Antibodies Concomitantly Display Signaling Pathway-specific Agonistic and Antagonistic Activity. Journal of Biological Chemistry. 288(19). 13455–13466. 36 indexed citations
3.
Chopra, Martin, Isabell Lang, Steffen Salzmann, et al.. (2013). Tumor Necrosis Factor Induces Tumor Promoting and Anti-Tumoral Effects on Pancreatic Cancer via TNFR1. PLoS ONE. 8(9). e75737–e75737. 23 indexed citations
4.
Salzmann, Steffen, Isabell Lang, Viktoria Schäfer, et al.. (2013). TWEAK Inhibits TRAF2-Mediated CD40 Signaling by Destabilization of CD40 Signaling Complexes. The Journal of Immunology. 191(5). 2308–2318. 17 indexed citations
5.
Lang, Isabell, Martin Chopra, Steffen Salzmann, et al.. (2013). A novel llama antibody targeting Fn14 exhibits anti-metastatic activity in vivo. mAbs. 6(1). 297–308. 23 indexed citations
6.
Salzmann, Steffen, Ellen Fritsche, Christoph Hutzler, et al.. (2012). Activation of the aryl hydrocarbon receptor sensitises human keratinocytes for CD95L- and TRAIL-induced apoptosis. Cell Death and Disease. 3(9). e388–e388. 28 indexed citations
7.
Wicovsky, Andreas, Nicole Müller, Steffen Salzmann, et al.. (2010). Soluble and Transmembrane TNF-Like Weak Inducer of Apoptosis Differentially Activate the Classical and Noncanonical NF-κB Pathway. The Journal of Immunology. 185(3). 1593–1605. 85 indexed citations
8.
Wicovsky, Andreas, Steffen Salzmann, Martin Ehrenschwender, et al.. (2009). TNF-like weak inducer of apoptosis inhibits proinflammatory TNF receptor-1 signaling. Cell Death and Differentiation. 16(11). 1445–1459. 66 indexed citations
9.
Wicovsky, Andreas, Frank Henkler, Steffen Salzmann, et al.. (2009). Tumor necrosis factor receptor-associated factor-1 enhances proinflammatory TNF receptor-2 signaling and modifies TNFR1–TNFR2 cooperation. Oncogene. 28(15). 1769–1781. 63 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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