Emma Sierecki
- Cell Biology top 2%
- Cellular transport and secretion 8
- Biotin and Related Studies 5
- Caveolin-1 and cellular processes 5
- Molecular Biology top 5%
- RNA Research and Splicing 9
- Ubiquitin and proteasome pathways 6
- Immunology top 5%
- interferon and immune responses 5
- Biophysics top 5%
- Structural Biology top 10%
-
- Parkinson's Disease Mechanisms and Treatments 9
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Yann GambinAlexandra C. NewtonJohn BrognardTianyan GaoKirill AlexandrovAkshay BhumkarNichole GilesDominic J. B. Hunter
- Journals
- International Journal of Molecular Sciences (6 papers)Nature Communications (5 papers)The FASEB Journal (4 papers)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Emma Sierecki
67 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cell Biology 478
- Molecular Biology 1.9k
- Immunology 466
- Biophysics 101
- Structural Biology 23
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | The HIV capsid mimics karyopherin engagement of FG-nucleoporinsbreakdown → | 2024 | 47 |
| 6 | 2023 | 15 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 75 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 27 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 62 | |
| 15 | 2018 | 76 | |
| 16 | 2018 | 42 | |
| 17 | 2018 | 55 | |
| 18 | 2017 | 38 | |
| 19 | 2016 | 56 | |
| 20 | 2006 | 299 |
About Emma Sierecki
Emma Sierecki is a scholar working on Cell Biology, Molecular Biology, Neurology, Virology and Immunology, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), RNA Research and Splicing (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cellular transport and secretion (8 papers), Ubiquitin and proteasome pathways (6 papers), interferon and immune responses (5 papers), Biotin and Related Studies (5 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Cell Biology (478 citations), Molecular Biology (1.9k citations), Immunology (466 citations), Biophysics (101 citations) and Structural Biology (23 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, Kirill Alexandrov, Akshay Bhumkar, Nichole Giles, Dominic J. B. Hunter, Robert S. Hodges and W. Urbach. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, The FASEB Journal, Proceedings of the National Academy of Sciences and ACS Chemical Neuroscience.
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.