Stella E. Tsirka
Impact in
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Neurology 66
- Neuroinflammation and Neurodegeneration Mechanisms 61
-
- Neurogenesis and neuroplasticity mechanisms 16
- Co-authors
- Sidney StricklandJian WangAndrew D. RogoveKyungmin JiYao YaoAnna GualandrisChia-Jen SiaoMirjana Maletić‐Savatić
- Journals
- Glia (12 papers)Journal of Neuroscience (11 papers)The FASEB Journal (4 papers)PLoS ONE (4 papers)Handbook of experimental pharmacology (3 papers)
- Partner nations
- United StatesGermanyGreece
In The Last Decade
Stella E. Tsirka
142 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Neurology 3.3k
- Developmental Neuroscience 1.1k
- Biological Psychiatry 447
- Cancer Research 1.9k
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by Stella E. Tsirka
This map shows the geographic impact of Stella E. Tsirka'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 Stella E. Tsirka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stella E. Tsirka more than expected).
Fields of papers citing papers by Stella E. Tsirka
This network shows the impact of papers produced by Stella E. Tsirka. 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 Stella E. Tsirka. The network helps show where Stella E. Tsirka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stella E. Tsirka, 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 | 2024 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 39 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 60 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 23 | |
| 8 | 2018 | 61 | |
| 9 | 2018 | 9 | |
| 10 | 2017 | 46 | |
| 11 | 2014 | 132 | |
| 12 | 2013 | 33 | |
| 13 | p53 Opens the Mitochondrial Permeability Transition Pore to Trigger Necrosis Hit paper breakdown → | 2012 | 610 |
| 14 | 2011 | 90 | |
| 15 | 2011 | 56 | |
| 16 | 2011 | 9 | |
| 17 | 2010 | 17 | |
| 18 | 2007 | 16 | |
| 19 | 2005 | 100 | |
| 20 | 1998 | 156 |
About Stella E. Tsirka
Stella E. Tsirka is a scholar working on Neurology, Developmental Neuroscience, Biological Psychiatry, Behavioral Neuroscience and Cancer Research, having authored 145 papers that have together received 10.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (61 papers), Protease and Inhibitor Mechanisms (26 papers), Immune cells in cancer (18 papers), Neurogenesis and neuroplasticity mechanisms (16 papers), Glioma Diagnosis and Treatment (14 papers), Acute Ischemic Stroke Management (14 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Neurology (3.3k citations), Developmental Neuroscience (1.1k citations), Biological Psychiatry (447 citations), Cancer Research (1.9k citations) and Cellular and Molecular Neuroscience (1.8k citations). Stella E. Tsirka has collaborated with scholars based in United States, Germany and Greece. Frequent co-authors include Sidney Strickland, Jian Wang, Andrew D. Rogove, Kyungmin Ji, Yao Yao, Anna Gualandris, Chia-Jen Siao, Mirjana Maletić‐Savatić, Grigori Enikolopov and Jessica H. Chancey. Their work appears in journals such as Glia, Journal of Neuroscience, The FASEB Journal, PLoS ONE and Handbook of experimental pharmacology.
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.