Christophe Weber
Impact in
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- Viral Infections and Immunology Research
- Cardiac electrophysiology and arrhythmias
Papers in
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- Cardiac electrophysiology and arrhythmias 4
- Cardiovascular Effects of Exercise 3
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- Signaling Pathways in Disease 2
- S100 Proteins and Annexins 1
- Co-authors
- Patrick Most (4 shared papers)Sven T. Pleger (4 shared papers)Philip Raake (4 shared papers)Hugo A. Katus (3 shared papers)Walter J. Koch (2 shared papers)Oliver J. Müller (2 shared papers)Raffi Bekeredjian (1 shared paper)Gang Qiu (1 shared paper)
- Journals
- Journal of Cardiovascular Pharmacology and Therapeutics (1 paper)European Journal of Radiology (1 paper)International journal of cardiac imaging (1 paper)Science Translational Medicine (1 paper)Gene Therapy (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Christophe Weber
12 papers receiving 283 citations
Peers
Comparison fields: 5 of 53
- Cardiology and Cardiovascular Medicine 119
- Nephrology 20
- Genetics 78
- Molecular Biology 160
- Medical Laboratory Technology 3
Countries citing papers authored by Christophe Weber
This map shows the geographic impact of Christophe Weber'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 Christophe Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Weber more than expected).
Fields of papers citing papers by Christophe Weber
This network shows the impact of papers produced by Christophe Weber. 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 Christophe Weber. The network helps show where Christophe Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Christophe Weber, 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 | 2011 | 169 | |
| 2 | The kidney in streptozotocin diabetic rats. Morphologic, ultrastructural, and function studies. | 1976 | 44 |
| 3 | 2013 | 32 | |
| 4 | 2019 | 8 | |
| 5 | 2012 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 1997 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2014 | 1 |
About Christophe Weber
Christophe Weber is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Nutrition and Dietetics, Organic Chemistry and Surgery, having authored 12 papers that have together received 290 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Cardiovascular Effects of Exercise (3 papers), Signaling Pathways in Disease (2 papers), Trace Elements in Health (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced X-ray and CT Imaging (1 paper), S100 Proteins and Annexins (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (119 citations), Nephrology (20 citations), Genetics (78 citations), Molecular Biology (160 citations) and Medical Laboratory Technology (3 citations). Christophe Weber has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Patrick Most, Sven T. Pleger, Philip Raake, Hugo A. Katus, Walter J. Koch, Oliver J. Müller, Raffi Bekeredjian, Gang Qiu, Stefanie Schinkel and Peter Boekstegers. Their work appears in journals such as Journal of Cardiovascular Pharmacology and Therapeutics, European Journal of Radiology, International journal of cardiac imaging, Science Translational Medicine and Gene Therapy.
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.