Cornelia Joppich
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
Papers in
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 4
- Analytical Chemistry and Chromatography 1
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- Advanced biosensing and bioanalysis techniques 2
- Mitochondrial Function and Pathology 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Helmut E. Meyer (6 shared papers)Jörg Reinders (1 shared paper)Birgit Schönfisch (1 shared paper)Bernard Guiard (1 shared paper)Chris Meisinger (1 shared paper)Inge Perschil (1 shared paper)Agnieszka Chacińska (1 shared paper)Peter Rehling (1 shared paper)
- Journals
- PROTEOMICS (3 papers)Proceedings of the National Academy of Sciences (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Cornelia Joppich
5 papers receiving 865 citations
Cornelia Joppich's Hit Papers
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 83
- Molecular Biology 766
- Spectroscopy 159
- Aging 16
- Cell Biology 96
Countries citing papers authored by Cornelia Joppich
This map shows the geographic impact of Cornelia Joppich'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 Cornelia Joppich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Joppich more than expected).
Fields of papers citing papers by Cornelia Joppich
This network shows the impact of papers produced by Cornelia Joppich. 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 Cornelia Joppich. The network helps show where Cornelia Joppich may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Joppich, 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 | The proteome of Saccharomyces cerevisiae mitochondria Hit paper breakdown → | 2003 | 756 |
| 2 | 2004 | 46 | |
| 3 | 2006 | 41 | |
| 4 | 2006 | 27 | |
| 5 | 2009 | 13 | |
| 6 | 2005 | 0 |
About Cornelia Joppich
Cornelia Joppich is a scholar working on Spectroscopy, Molecular Biology, Analytical Chemistry, Cell Biology and Physiology, having authored 6 papers that have together received 883 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Mitochondrial Function and Pathology (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Alzheimer's disease research and treatments (1 paper), Biotin and Related Studies (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Clinical Biochemistry (83 citations), Molecular Biology (766 citations), Spectroscopy (159 citations), Aging (16 citations) and Cell Biology (96 citations). Cornelia Joppich has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Helmut E. Meyer, Jörg Reinders, Birgit Schönfisch, Bernard Guiard, Chris Meisinger, Inge Perschil, Agnieszka Chacińska, Peter Rehling, Albert Sickmann and René Peiman Zahedi. Their work appears in journals such as PROTEOMICS, Proceedings of the National Academy of Sciences and Methods in molecular biology.
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.