Christoph Mueller‐Dieckmann
- Structural Biology top 5%
- Cancer Research top 5%
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins 7
- Molecular Biology top 5%
- Protein Structure and Dynamics 21
- Biochemical and Molecular Research 10
- RNA and protein synthesis mechanisms 3
- DNA Repair Mechanisms 3
- Physiology top 5%
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- Enzyme Structure and Function 36
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- PARP inhibition in cancer therapy 6
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- X-ray Spectroscopy and Fluorescence Analysis 4
- Co-authors
- M.S. WeissGordon A. LeonardBernard RossiAntonia LivolsiE. Britta-Mareen TraencknerRudolf A. RupecD FarahifarHeike L. Pahl
- Journals
- Journal of Applied Crystallography (8 papers)Journal of Synchrotron Radiation (5 papers)Acta Crystallographica Section D Structural Biology (3 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Christoph Mueller‐Dieckmann
50 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Structural Biology 71
- Cancer Research 429
- Immunology 464
- Molecular Biology 1.5k
- Physiology 86
Countries citing papers authored by Christoph Mueller‐Dieckmann
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 33 | |
| 7 | 2022 | 13 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 100 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 33 | |
| 13 | 2014 | 53 | |
| 14 | 2012 | 154 | |
| 15 | 2011 | 4 | |
| 16 | 2009 | 9 | |
| 17 | 2009 | 1 | |
| 18 | 2006 | 96 | |
| 19 | 2002 | 52 | |
| 20 | 2002 | 7 |
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.