Michael Ebner
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Metabolism, Diabetes, and Cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cellular transport and secretion 5
- Co-authors
- Ivan Yudushkin (2 shared papers)Thomas A. Leonard (1 shared paper)Julia Romanov (2 shared papers)Carsten Sachse (2 shared papers)Sascha Martens (2 shared papers)Gabriele Zaffagnini (2 shared papers)Martin Sztacho (2 shared papers)Alberto Danieli (2 shared papers)
- Journals
- Tetrahedron Letters (2 papers)Carbohydrate Research (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (1 paper)Cell (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Michael Ebner
19 papers receiving 950 citations
Peers
Comparison fields: 5 of 92
- Cell Biology 211
- Physiology 56
- Molecular Biology 601
- Epidemiology 256
- Organic Chemistry 160
Countries citing papers authored by Michael Ebner
This map shows the geographic impact of Michael Ebner'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 Michael Ebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ebner more than expected).
Fields of papers citing papers by Michael Ebner
This network shows the impact of papers produced by Michael Ebner. 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 Michael Ebner. The network helps show where Michael Ebner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ebner, 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 | 2018 | 275 | |
| 2 | 2017 | 158 | |
| 3 | 2017 | 152 | |
| 4 | 1987 | 116 | |
| 5 | 2023 | 61 | |
| 6 | 1997 | 53 | |
| 7 | 2019 | 31 | |
| 8 | 2018 | 20 | |
| 9 | 2024 | 14 | |
| 10 | 1994 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 1997 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 1997 | 6 | |
| 16 | 1995 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2018 | 3 | |
| 19 | Peripheral circulatory disturbances; treatment by massage of connective tissue in reflex zones. | 1956 | 2 |
About Michael Ebner
Michael Ebner is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Organic Chemistry and Physiology, having authored 19 papers that have together received 958 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Cellular transport and secretion (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Glycosylation and Glycoproteins Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cell Biology (211 citations), Physiology (56 citations), Molecular Biology (601 citations), Epidemiology (256 citations) and Organic Chemistry (160 citations). Michael Ebner has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Ivan Yudushkin, Thomas A. Leonard, Julia Romanov, Carsten Sachse, Sascha Martens, Gabriele Zaffagnini, Martin Sztacho, Alberto Danieli, Riccardo Trapannone and Abul K. Tarafder. Their work appears in journals such as Tetrahedron Letters, Carbohydrate Research, Journal of Biological Chemistry, Molecular Cell and Cell.
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.