Antonis S. Zervos
- Molecular Biology top 2%
- Oncology top 5%
- Cell Biology top 5%
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- Roger BrentJenő GyurisLucia CilentiEmad S. AlnemriJoseph V. BonventrePatricia K. DonahoeTongwen WangSrinivasa M. Srinivasula
- Topics
- Ubiquitin and proteasome pathways (13 papers)Mitochondrial Function and Pathology (9 papers)Cell death mechanisms and regulation (6 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Antonis S. Zervos
39 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.8k
- Oncology 492
- Cell Biology 414
- Immunology 392
- Epidemiology 379
Countries citing papers authored by Antonis S. Zervos
This map shows the geographic impact of Antonis S. Zervos'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 Antonis S. Zervos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonis S. Zervos more than expected).
Fields of papers citing papers by Antonis S. Zervos
This network shows the impact of papers produced by Antonis S. Zervos. 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 Antonis S. Zervos. The network helps show where Antonis S. Zervos may publish in the future.
Co-authorship network of co-authors of Antonis S. Zervos
This figure shows the co-authorship network connecting the top 25 collaborators of Antonis S. Zervos. A scholar is included among the top collaborators of Antonis S. Zervos 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 Antonis S. Zervos. Antonis S. Zervos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 74 | |
| 3 | 52 | |
| 4 | 63 | |
| 5 | 11 | |
| 6 | 25 | |
| 7 | 12 | |
| 8 | 49 | |
| 9 | 156 | |
| 10 | 38 | |
| 11 | 70 | |
| 12 | 62 | |
| 13 | 15 | |
| 14 | 97 | |
| 15 | Identification of Omi/HtrA2 as a Mitochondrial Apoptotic Serine Protease That Disrupts Inhibitor of Apoptosis Protein-Caspase Interactionbreakdown → | 565 |
| 16 | 19 | |
| 17 | 180 | |
| 18 | 19 | |
| 19 | 61 | |
| 20 | Mxi1, a protein that specifically interacts with Max to bind Myc-Max recognition sitesbreakdown → | 698 |
About Antonis S. Zervos
Antonis S. Zervos is a scholar working on Molecular Biology, Geriatrics and Gerontology and Cell Biology, having authored 40 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Mitochondrial Function and Pathology (9 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Cell Biology (414 citations) and Neurology (339 citations). Antonis S. Zervos has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Roger Brent, Jenő Gyuris, Lucia Cilenti, Emad S. Alnemri, Joseph V. Bonventre, Patricia K. Donahoe, Tongwen Wang, Srinivasa M. Srinivasula, Carlo Fusco and Teresa Fernandes‐Alnemri. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.