Emma Sierecki
Impact in
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior
- PI3K/AKT/mTOR signaling in cancer
- Protein Tyrosine Phosphatases
- Cell Biology top 5%
- Caveolin-1 and cellular processes
Papers in
-
- Genomics and Chromatin Dynamics 6
- Protein Tyrosine Phosphatases 4
- Cell death mechanisms and regulation 4
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 9
- Co-authors
- Yann Gambin (58 shared papers)Alexandra C. Newton (5 shared papers)John Brognard (2 shared papers)Tianyan Gao (2 shared papers)Akshay Bhumkar (13 shared papers)Kirill A. Alexandrov (14 shared papers)Nichole Giles (15 shared papers)Dominic J. B. Hunter (13 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Nature Communications (6 papers)The FASEB Journal (4 papers)eLife (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Emma Sierecki
72 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.5k
- Cell Biology 320
- Structural Biology 46
- Immunology 359
- Biophysics 119
Countries citing papers authored by Emma Sierecki
This map shows the geographic impact of Emma Sierecki'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 Emma Sierecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Sierecki more than expected).
Fields of papers citing papers by Emma Sierecki
This network shows the impact of papers produced by Emma Sierecki. 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 Emma Sierecki. The network helps show where Emma Sierecki may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Sierecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 495 | |
| 2 | 2014 | 335 | |
| 3 | 2006 | 324 | |
| 4 | 2020 | 212 | |
| 5 | 2017 | 151 | |
| 6 | 2014 | 113 | |
| 7 | 2014 | 106 | |
| 8 | 2021 | 93 | |
| 9 | 2019 | 85 | |
| 10 | 2018 | 83 | |
| 11 | 2021 | 80 | |
| 12 | 2010 | 69 | |
| 13 | 2018 | 68 | |
| 14 | 2019 | 63 | |
| 15 | 2016 | 60 | |
| 16 | 2014 | 57 | |
| 17 | 2019 | 57 | |
| 18 | 2021 | 55 | |
| 19 | 2017 | 54 | |
| 20 | 2024 | 54 |
About Emma Sierecki
Emma Sierecki is a scholar working on Molecular Biology, Neurology, Cell Biology, Immunology and Biophysics, having authored 74 papers that have together received 3.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Immune Response and Inflammation (8 papers), Genomics and Chromatin Dynamics (6 papers), Caveolin-1 and cellular processes (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Asymmetric Synthesis and Catalysis (4 papers), Protein Tyrosine Phosphatases (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cell Biology (320 citations), Structural Biology (46 citations), Immunology (359 citations) and Biophysics (119 citations). Emma Sierecki has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Yann Gambin, Alexandra C. Newton, John Brognard, Tianyan Gao, Akshay Bhumkar, Kirill A. Alexandrov, Nichole Giles, Dominic J. B. Hunter, W. Urbach and Nir S. Gov. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, The FASEB Journal, eLife 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.