Andreas Ivessa
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
-
- Adipose Tissue and Metabolism 3
- Co-authors
- Virginia A. ZakianJin‐Qiu ZhouJunichi SadoshimaSepp D. KohlweinXin ChengSandra L. SchnakenbergLara K. GoudsouzianBrian A. Lenzmeier
- Journals
- Scientific Reports (3 papers)Cardiovascular Research (2 papers)Cell (2 papers)Aging Cell (2 papers)Genes & Development (2 papers)
- Partner nations
- United StatesTaiwanAustria
In The Last Decade
Andreas Ivessa
30 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 183
- Cell Biology 450
- Molecular Biology 1.8k
- Biochemistry 115
- Physiology 305
Countries citing papers authored by Andreas Ivessa
This map shows the geographic impact of Andreas Ivessa'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 Andreas Ivessa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Ivessa more than expected).
Fields of papers citing papers by Andreas Ivessa
This network shows the impact of papers produced by Andreas Ivessa. 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 Andreas Ivessa. The network helps show where Andreas Ivessa may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Ivessa, 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 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 40 | |
| 6 | 2020 | 91 | |
| 7 | 2020 | 1 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 13 | |
| 10 | 2014 | 6 | |
| 11 | Mst1 inhibits autophagy by promoting the interaction between Beclin1 and Bcl-2 Hit paper breakdown → | 2013 | 428 |
| 12 | 2013 | 3 | |
| 13 | 2013 | 1 | |
| 14 | 2011 | 14 | |
| 15 | 2009 | 17 | |
| 16 | 2007 | 285 | |
| 17 | 2006 | 42 | |
| 18 | 2002 | 19 | |
| 19 | 2000 | 236 | |
| 20 | 1996 | 166 |
About Andreas Ivessa
Andreas Ivessa is a scholar working on Aging, Physiology, Cell Biology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Mitochondrial Function and Pathology (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Genomics and Chromatin Dynamics (3 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (3 papers) and Biotin and Related Studies (3 papers). The work is most often cited by research in Aging (183 citations), Cell Biology (450 citations), Molecular Biology (1.8k citations), Biochemistry (115 citations) and Physiology (305 citations). Andreas Ivessa has collaborated with scholars based in United States, Taiwan and Austria. Frequent co-authors include Virginia A. Zakian, Jin‐Qiu Zhou, Junichi Sadoshima, Sepp D. Kohlwein, Xin Cheng, Sandra L. Schnakenberg, Lara K. Goudsouzian, Brian A. Lenzmeier, Jessica B. Bessler and Peiyong Zhai. Their work appears in journals such as Scientific Reports, Cardiovascular Research, Cell, Aging Cell and Genes & Development.
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.