Ernst‐Bernhard Kayser
- Molecular Biology top 10%
- Aging top 0.5%
- Physiology top 10%
- Clinical Biochemistry top 2%
- Developmental Neuroscience top 5%
- Co-authors
- Margaret M. SedenskyPhilip G. MorganCharles L. HoppelMatt KaeberleinSimon C. JohnsonBrian M. WaskoAnthony S. CastanzaAlbert Quintana
- Topics
- Mitochondrial Function and Pathology (19 papers)Genetics, Aging, and Longevity in Model Organisms (12 papers)ATP Synthase and ATPases Research (6 papers)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Ernst‐Bernhard Kayser
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 901
- Aging 451
- Physiology 221
- Clinical Biochemistry 192
- Developmental Neuroscience 158
Countries citing papers authored by Ernst‐Bernhard Kayser
This map shows the geographic impact of Ernst‐Bernhard Kayser'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 Ernst‐Bernhard Kayser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernst‐Bernhard Kayser more than expected).
Fields of papers citing papers by Ernst‐Bernhard Kayser
This network shows the impact of papers produced by Ernst‐Bernhard Kayser. 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 Ernst‐Bernhard Kayser. The network helps show where Ernst‐Bernhard Kayser may publish in the future.
Co-authorship network of co-authors of Ernst‐Bernhard Kayser
This figure shows the co-authorship network connecting the top 25 collaborators of Ernst‐Bernhard Kayser. A scholar is included among the top collaborators of Ernst‐Bernhard Kayser 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 Ernst‐Bernhard Kayser. Ernst‐Bernhard Kayser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 53 | |
| 9 | 28 | |
| 10 | 39 | |
| 11 | 58 | |
| 12 | 401 | |
| 13 | 57 | |
| 14 | 90 | |
| 15 | 95 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 134 | |
| 19 | 93 | |
| 20 | 111 |
About Ernst‐Bernhard Kayser
Ernst‐Bernhard Kayser is a scholar working on Aging, Developmental Neuroscience and Clinical Biochemistry, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (19 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers) and ATP Synthase and ATPases Research (6 papers). The work is most often cited by research in Aging (451 citations), Developmental Neuroscience (158 citations) and Clinical Biochemistry (192 citations). Ernst‐Bernhard Kayser has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Margaret M. Sedensky, Philip G. Morgan, Charles L. Hoppel, Matt Kaeberlein, Simon C. Johnson, Brian M. Wasko, Anthony S. Castanza, Albert Quintana, Valerie Wall and Jessica Hui. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.