Christoph Mueller‐Dieckmann

3.6k citations
52 papers · 2.3k indexed · 1 hit paper · h-index 22

Christoph Mueller‐Dieckmann

50 papers receiving 2.3k citations

Hit Papers

Tyrosine Phosphorylation of IκB-α Activates NF-κB without...5971996202620062016100200300400500

Peers

Christoph Mueller‐Dieckmann
Comparison fields: 5 of 118
  • Structural Biology 71
  • Cancer Research 429
  • Immunology 464
  • Molecular Biology 1.5k
  • Physiology 86
Replace Irimpan I. Mathews with:
Irimpan I. Mathews United States
A. Ruf Switzerland
M. Vollmar United Kingdom
Michael Brenowitz United States
J. Fernando Dı́az Spain
Arie Geerlof Germany
D.R. Davies United States
J. Günter Grossmann United Kingdom
Derek T. Logan Sweden
L.S. Beese United States
Christoph Mueller‐Dieckmann relative to Irimpan I. Mathews United States Irimpan I. Mathews's profile →
Citations per field
00.5×3.8×
Irimpan I. Mathews · 1×
Citations per year

Countries citing papers authored by Christoph Mueller‐Dieckmann

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Mueller‐Dieckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christoph Mueller‐Dieckmann. 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 Christoph Mueller‐Dieckmann. The network helps show where Christoph Mueller‐Dieckmann may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Christoph Mueller‐Dieckmann, 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 Christoph Mueller‐Dieckmann Line = papers co-authored together Christoph Mueller‐Dieckmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20242
3 20240
4 20236
5 20227
6 202233
7 202213
8 20192
9 2019100
10 201926
11 20192
12 201833
13 201453
14 2012154
15 20114
16 20099
17 20091
18 200696
19 200252
20 20027

About Christoph Mueller‐Dieckmann

Christoph Mueller‐Dieckmann is a scholar working on Structural Biology, Materials Chemistry and Radiation, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (36 papers), Protein Structure and Dynamics (21 papers), Biochemical and Molecular Research (10 papers), Toxin Mechanisms and Immunotoxins (7 papers), PARP inhibition in cancer therapy (6 papers), X-ray Spectroscopy and Fluorescence Analysis (4 papers), RNA and protein synthesis mechanisms (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Structural Biology (71 citations), Cancer Research (429 citations) and Immunology (464 citations). Christoph Mueller‐Dieckmann has collaborated with scholars based in France, Germany and United States. Frequent co-authors include M.S. Weiss, Gordon A. Leonard, Bernard Rossi, Antonia Livolsi, E. Britta-Mareen Traenckner, Rudolf A. Rupec, D Farahifar, Heike L. Pahl, Patrick Auberger and Patrick A. Baeuerle. Their work appears in journals such as Journal of Applied Crystallography, Journal of Synchrotron Radiation, Acta Crystallographica Section D Structural Biology, IUCrJ and Nature Communications.

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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