Sonja Hess

9.6k total citations · 2 hit papers
141 papers, 6.9k citations indexed

About

Sonja Hess is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Sonja Hess has authored 141 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 36 papers in Spectroscopy and 17 papers in Cell Biology. Recurrent topics in Sonja Hess's work include Mass Spectrometry Techniques and Applications (26 papers), Advanced Proteomics Techniques and Applications (25 papers) and Ubiquitin and proteasome pathways (19 papers). Sonja Hess is often cited by papers focused on Mass Spectrometry Techniques and Applications (26 papers), Advanced Proteomics Techniques and Applications (25 papers) and Ubiquitin and proteasome pathways (19 papers). Sonja Hess collaborates with scholars based in United States, United Kingdom and Germany. Sonja Hess's co-authors include Michael J. Sweredoski, R. L. Graham, Annie Moradian, Raymond J. Deshaies, David C. Chan, Anastasia Kalli, Nickie C. Chan, Anna M. Salazar, Anh H. Pham and Mamuka Kvaratskhelia and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sonja Hess

138 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3

2015 837 citations Colleen A. McHugh, Chun‐Kan Chen et al. profile →
Broad activation of the ubiquitin–proteasome system by Parkin is critical for mitophagy

2011 804 citations Michael J. Sweredoski, R. L. Graham et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sonja Hess United States	43	4.9k	1.1k	928	749	666	141	6.9k
Michael J. Sweredoski United States	42	5.1k 1.0×	999 0.9×	689 0.7×	529 0.7×	613 0.9×	89	6.4k
Antonius Koller United States	40	4.3k 0.9×	475 0.4×	588 0.6×	553 0.7×	773 1.2×	77	6.5k
Connie R. Jiménez Netherlands	56	4.8k 1.0×	1.1k 1.0×	1.4k 1.5×	1.6k 2.1×	506 0.8×	240	8.6k
Henrik Molina United States	51	6.3k 1.3×	676 0.6×	1.5k 1.6×	1.2k 1.6×	894 1.3×	127	8.8k
Beatrix Ueberheide United States	43	6.3k 1.3×	518 0.5×	506 0.5×	1.2k 1.6×	509 0.8×	133	8.5k
Bernd Thiede Norway	43	3.7k 0.8×	552 0.5×	522 0.6×	1.2k 1.6×	452 0.7×	167	5.6k
Keiryn L. Bennett Austria	45	5.8k 1.2×	738 0.7×	525 0.6×	896 1.2×	799 1.2×	120	9.5k
Doron C. Greenbaum United States	36	3.4k 0.7×	693 0.6×	1.0k 1.1×	320 0.4×	633 1.0×	44	6.3k
Maria Panico United Kingdom	56	6.1k 1.2×	681 0.6×	597 0.6×	880 1.2×	626 0.9×	144	10.8k
Lisa N. Kinch United States	45	5.1k 1.0×	1.4k 1.3×	516 0.6×	219 0.3×	972 1.5×	139	8.8k

Countries citing papers authored by Sonja Hess

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sonja Hess

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Hess. A scholar is included among the top collaborators of Sonja Hess 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 Sonja Hess. Sonja Hess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Martin, Matthew J., et al.. (2025). Phosphoproteomics of osimertinib-tolerant persister cells reveals targetable kinase-substrate signatures. Molecular Systems Biology. 21(11). 1547–1562.

Chung, Heaseung Sophia, Manik Garg, Ventzislava A. Hristova, et al.. (2024). Longitudinal clinical and proteomic diabetes signatures in women with a history of postgestational diabetes. JCI Insight. 10(2).

Choudhury, Feroza K., Jana Zecha, Zengli Guo, et al.. (2024). Multiomics Characterization of a Less Invasive Microfluidic-Based Cell Sorting Technique. Journal of Proteome Research. 23(8). 3096–3107.

Jayne, David, Patrick J. Gavin, Erik L. Allman, et al.. (2023). OP0136 METABOLOMIC SERUM PROFILING IDENTIFIES METABOLITES LINKED TO KIDNEY DAMAGE WHICH ARE MODULATED BY ANIFROLUMAB IN A PHASE 2 TRIAL IN LUPUS NEPHRITIS. Annals of the Rheumatic Diseases. 82. 90–90. 2 indexed citations

Bergkessel, Megan, Brett M. Babin, David G. VanderVelde, et al.. (2019). The dormancy‐specific regulator, SutA, is intrinsically disordered and modulates transcription initiation in Pseudomonas aeruginosa. Molecular Microbiology. 112(3). 992–1009. 11 indexed citations

Varuzhanyan, Grigor, et al.. (2019). Mitochondrial fusion is required for spermatogonial differentiation and meiosis. eLife. 8. 68 indexed citations

Belliveau, Nathan M., Stephanie L. Barnes, William T. Ireland, et al.. (2018). Systematic approach for dissecting the molecular mechanisms of transcriptional regulation in bacteria. Proceedings of the National Academy of Sciences. 115(21). E4796–E4805. 60 indexed citations

Sweredoski, Michael J., et al.. (2017). Bioorthogonal Noncanonical Amino Acid Tagging (BONCAT) Enables Time-Resolved Analysis of Protein Synthesis in Native Plant Tissue. PLANT PHYSIOLOGY. 173(3). 1543–1553. 41 indexed citations

D’Angelo, Gina, Raghothama Chaerkady, Wen Yu, et al.. (2017). Statistical Models for the Analysis of Isobaric Tags Multiplexed Quantitative Proteomics. Journal of Proteome Research. 16(9). 3124–3136. 25 indexed citations

10.

Babin, Brett M., Mark B. van Eldijk, Michael J. Sweredoski, et al.. (2017). Selective Proteomic Analysis of Antibiotic-Tolerant Cellular Subpopulations inPseudomonas aeruginosaBiofilms. mBio. 8(5). 45 indexed citations

11.

Larue, Ross C., et al.. (2016). Structure of the Brd4 ET domain bound to a C-terminal motif from γ-retroviral integrases reveals a conserved mechanism of interaction. Proceedings of the National Academy of Sciences. 113(8). 2086–2091. 64 indexed citations

12.

Sung, Min‐Kyung, Justin M. Reitsma, Michael J. Sweredoski, Sonja Hess, & Raymond J. Deshaies. (2016). Ribosomal proteins produced in excess are degraded by the ubiquitin–proteasome system. Molecular Biology of the Cell. 27(17). 2642–2652. 91 indexed citations

13.

Xue, Liang, Emily E. Blythe, Elyse C. Freiberger, et al.. (2016). Valosin-containing protein (VCP)–Adaptor Interactions are Exceptionally Dynamic and Subject to Differential Modulation by a VCP Inhibitor. Molecular & Cellular Proteomics. 15(9). 2970–2986. 40 indexed citations

14.

McHugh, Colleen A., Chun‐Kan Chen, Amy Chow, et al.. (2015). The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3. RePEc: Research Papers in Economics. 3 indexed citations

15.

Honarpour, Narimon, Christopher M. Rose, Justin Brumbaugh, et al.. (2014). F-box Protein FBXL16 Binds PP2A-B55α and Regulates Differentiation of Embryonic Stem Cells along the FLK1+ Lineage. Molecular & Cellular Proteomics. 13(3). 780–791. 23 indexed citations

16.

Mahdavi, Alborz, Janek Szychowski, John T. Ngo, et al.. (2013). Identification of secreted bacterial proteins by noncanonical amino acid tagging. Proceedings of the National Academy of Sciences. 111(1). 433–438. 63 indexed citations

17.

Pierce, Nathan W., J. Eugene Lee, Xing Liu, et al.. (2013). Cand1 Promotes Assembly of New SCF Complexes through Dynamic Exchange of F Box Proteins. Cell. 153(1). 206–215. 205 indexed citations

18.

Alteri, Christopher J., et al.. (2007). Mycobacterium tuberculosis produces pili during human infection. Proceedings of the National Academy of Sciences. 104(12). 5145–5150. 156 indexed citations

19.

Mans, Janet, Kannan Natarajan, Andrea Balbo, et al.. (2007). Cellular Expression and Crystal Structure of the Murine Cytomegalovirus Major Histocompatibility Complex Class I-like Glycoprotein, m153. Journal of Biological Chemistry. 282(48). 35247–35258. 21 indexed citations

20.

Hess, Sonja, et al.. (2004). Chirality determination of unusual amino acids using precolumn derivatization and liquid chromatography–electrospray ionization mass spectrometry. Journal of Chromatography A. 1035(2). 211–219. 74 indexed citations

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.

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