Sonja Hess
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 19
- Metabolomics and Mass Spectrometry Studies 14
- RNA and protein synthesis mechanisms 12
- Virology top 2%
- HIV Research and Treatment 7
- Cancer Research top 2%
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications 26
- Advanced Proteomics Techniques and Applications 25
- Analytical Chemistry and Chromatography 8
- Cell Biology top 2%
-
- Bacteriophages and microbial interactions 8
- Co-authors
- Michael J. SweredoskiR. L. GrahamAnnie MoradianRaymond J. DeshaiesDavid C. ChanAnastasia KalliNickie C. ChanAnh H. Pham
- Journals
- Journal of Biological Chemistry (13 papers)Journal of Proteome Research (8 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sonja Hess
138 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 4.9k
- Virology 330
- Cancer Research 928
- Spectroscopy 749
- Cell Biology 666
Countries citing papers authored by Sonja Hess
This map shows the geographic impact of Sonja Hess'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 Sonja Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Hess more than expected).
Fields of papers citing papers by Sonja Hess
This network shows the impact of papers produced by Sonja Hess. 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 Sonja Hess. The network helps show where Sonja Hess may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sonja Hess, 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 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2019 | 11 | |
| 5 | 2018 | 60 | |
| 6 | 2017 | 25 | |
| 7 | 2017 | 45 | |
| 8 | 2017 | 41 | |
| 9 | 2016 | 91 | |
| 10 | 2016 | 135 | |
| 11 | The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3 | 2015 | 3 |
| 12 | 2014 | 23 | |
| 13 | 2013 | 63 | |
| 14 | 2013 | 205 | |
| 15 | 2010 | 58 | |
| 16 | 2007 | 156 | |
| 17 | 2007 | 21 | |
| 18 | 2004 | 74 | |
| 19 | 2004 | 13 | |
| 20 | 2002 | 12 |
About Sonja Hess
Sonja Hess is a scholar working on Spectroscopy, Virology and Molecular Biology, having authored 141 papers that have together received 6.9k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (26 papers), Advanced Proteomics Techniques and Applications (25 papers), Ubiquitin and proteasome pathways (19 papers), Metabolomics and Mass Spectrometry Studies (14 papers), RNA and protein synthesis mechanisms (12 papers), Analytical Chemistry and Chromatography (8 papers), Bacteriophages and microbial interactions (8 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Molecular Biology (4.9k citations), Virology (330 citations) and Cancer Research (928 citations). Sonja Hess has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael J. Sweredoski, R. L. Graham, Annie Moradian, Raymond J. Deshaies, David C. Chan, Anastasia Kalli, Nickie C. Chan, Anh H. Pham, Anna M. Salazar and Mamuka Kvaratskhelia. Their work appears in journals such as Journal of Biological Chemistry, Journal of Proteome Research, Proceedings of the National Academy of Sciences, Molecular & Cellular Proteomics and Journal of the American Society for Mass Spectrometry.
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.