Christoph Zechner
- Molecular Biology top 10%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Monica PalmeriRaymond R. RussellDaniel P. KellyMorris J. BirnbaumLawrence H. YoungMarc PypaertDavid CovenJames Mu
- Topics
- Mitochondrial Function and Pathology (7 papers)Adipose Tissue and Metabolism (6 papers)Metabolism, Diabetes, and Cancer (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Christoph Zechner
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.2k
- Physiology 672
- Cardiology and Cardiovascular Medicine 438
- Surgery 438
- Endocrinology, Diabetes and Metabolism 330
Countries citing papers authored by Christoph Zechner
This map shows the geographic impact of Christoph Zechner'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 Zechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Zechner more than expected).
Fields of papers citing papers by Christoph Zechner
This network shows the impact of papers produced by Christoph Zechner. 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 Zechner. The network helps show where Christoph Zechner may publish in the future.
Co-authorship network of co-authors of Christoph Zechner
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Zechner. A scholar is included among the top collaborators of Christoph Zechner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christoph Zechner. Christoph Zechner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 75 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 62 | |
| 10 | 225 | |
| 11 | 27 | |
| 12 | 261 | |
| 13 | 214 | |
| 14 | 294 | |
| 15 | 6 | |
| 16 | AMP-activated protein kinase mediates ischemic glucose uptake and prevents postischemic cardiac dysfunction, apoptosis, and injurybreakdown → | 618 |
| 17 | 41 | |
| 18 | 6 |
About Christoph Zechner
Christoph Zechner is a scholar working on Nephrology, Physiology and Physiology, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Physiology (672 citations), Endocrinology, Diabetes and Metabolism (330 citations) and Cardiology and Cardiovascular Medicine (438 citations). Christoph Zechner has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Monica Palmeri, Raymond R. Russell, Daniel P. Kelly, Morris J. Birnbaum, Lawrence H. Young, Marc Pypaert, David Coven, James Mu, Frank J. Giordano and Ji Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.