Christian Staudt
- Cancer Research top 10%
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- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 3
- Molecular Biology top 10%
- DNA Repair Mechanisms 5
- Oncology top 10%
- Computational Mechanics top 5%
- Ion-surface interactions and analysis 10
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- Laser-induced spectroscopy and plasma 5
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- Peer-to-Peer Network Technologies 3
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- Graph Theory and Algorithms 3
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- Mass Spectrometry Techniques and Applications 3
- Co-authors
- George IliakisAndrea KinnerWenqi WuHenning MeyerhenkeA. WucherMinli WangKátia Cristina Portero‐McLellanSatyendra Kumar Singh
- Journals
- Nucleic Acids Research (3 papers)Physical review. B, Condensed matter (2 papers)Applied Surface Science (1 paper)
- Partner nations
- GermanyUnited StatesBulgaria
In The Last Decade
Christian Staudt
28 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 256
- Statistical and Nonlinear Physics 155
- Molecular Biology 840
- Oncology 279
- Computational Mechanics 192
Countries citing papers authored by Christian Staudt
This map shows the geographic impact of Christian Staudt'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 Christian Staudt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Staudt more than expected).
Fields of papers citing papers by Christian Staudt
This network shows the impact of papers produced by Christian Staudt. 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 Christian Staudt. The network helps show where Christian Staudt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Staudt, 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 | Knowledge Database and Regionalization of JRODOS in the HARMONE Project | 2019 | 1 |
| 2 | 2017 | 14 | |
| 3 | 2016 | 1 | |
| 4 | 2015 | 13 | |
| 5 | 2015 | 92 | |
| 6 | 2015 | 3 | |
| 7 | 2014 | 8 | |
| 8 | 2013 | 34 | |
| 9 | 2013 | 19 | |
| 10 | 2011 | 36 | |
| 11 | 2010 | 50 | |
| 12 | 2009 | 4 | |
| 13 | -H2AX in recognition and signaling of DNA double-strand breaks in the context of chromatinbreakdown → | 2008 | 964 |
| 14 | 2002 | 11 | |
| 15 | 2002 | 6 | |
| 16 | 2002 | 9 | |
| 17 | 2002 | 63 | |
| 18 | 2000 | 11 | |
| 19 | 1998 | 45 | |
| 20 | 1998 | 1 |
About Christian Staudt
Christian Staudt is a scholar working on Statistical and Nonlinear Physics, Geriatrics and Gerontology and Computational Mechanics, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (10 papers), Complex Network Analysis Techniques (10 papers), Laser-induced spectroscopy and plasma (5 papers), DNA Repair Mechanisms (5 papers), Peer-to-Peer Network Technologies (3 papers), Graph Theory and Algorithms (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Cancer Research (256 citations), Statistical and Nonlinear Physics (155 citations) and Molecular Biology (840 citations). Christian Staudt has collaborated with scholars based in Germany, United States and Bulgaria. Frequent co-authors include George Iliakis, Andrea Kinner, Wenqi Wu, Henning Meyerhenke, A. Wucher, Minli Wang, Kátia Cristina Portero‐McLellan, Satyendra Kumar Singh, Dorothea Wagner and Barbara J. Garrison. Their work appears in journals such as Nucleic Acids Research, Physical review. B, Condensed matter and Applied Surface Science.
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.