Claus Scheidereit

17.4k citations
103 papers · 14.3k indexed · 4 hit papers · h-index 66
    • NF-κB Signaling Pathways 70
  • Immunology top 0.2%
    • Immune Response and Inflammation 33
    • interferon and immune responses 15
    • T-cell and Retrovirus Studies 8
    • Cell death mechanisms and regulation 11
    • Natural product bioactivities and synthesis 8
    • RNA Research and Splicing 8
  • Oncology top 0.5%
    • Cytokine Signaling Pathways and Interactions 15

Claus Scheidereit

103 papers receiving 14.0k citations

Hit Papers

IκB kinase complexes: gateways to NF-κB...5531983202619972011200400600

Peers

Claus Scheidereit
Comparison fields: 5 of 133
  • Cancer Research 5.4k
  • Immunology 5.3k
  • Molecular Biology 7.6k
  • Oncology 2.9k
  • Pathology and Forensic Medicine 1.2k
Replace Jeremy Saklatvala with:
Jeremy Saklatvala United Kingdom
David M. Hockenbery United States
Wim Declercq Belgium
Karen O’Rourke United States
Curt Milliman United States
Amer A. Beg United States
Tucker Collins United States
Bing Su United States
Harald Wajant Germany
Roy A. Black United States
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Citations per field
00.5×3.3×
Jeremy Saklatvala · 1×
Citations per year

Countries citing papers authored by Claus Scheidereit

Since Specialization
Citations

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

Fields of papers citing papers by Claus Scheidereit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Claus Scheidereit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claus Scheidereit Line = papers co-authored together Claus Scheidereit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20233
3 202225
4 202111
5 202151
6 20208
7 2009269
8 200916
9 2009190
10 200461
11 2001448
12 200016
13 200097
14 199843
15 1998142
16 199737
17 1991197
18 19917
19 198915
20 198695

About Claus Scheidereit

Claus Scheidereit is a scholar working on Cancer Research, Immunology and Oncology, having authored 103 papers that have together received 14.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (70 papers), Immune Response and Inflammation (33 papers), Cytokine Signaling Pathways and Interactions (15 papers), interferon and immune responses (15 papers), Cell death mechanisms and regulation (11 papers), T-cell and Retrovirus Studies (8 papers), Natural product bioactivities and synthesis (8 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cancer Research (5.4k citations), Immunology (5.3k citations) and Molecular Biology (7.6k citations). Claus Scheidereit has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Daniel Krappmann, M. Hinz, Miguel Beato, Michael Naumann, F. Gregory Wulczyn, Robert G. Roeder, Bernd Dörken, Eunice N. Hatada, H.M. Westphal and Seda Çöl Arslan. Their work appears in journals such as Blood, Molecular and Cellular Biology, The EMBO Journal, Nature and Journal of Biological Chemistry.

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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