Olga Friese

757 total citations · 1 hit paper
16 papers, 513 citations indexed

About

Olga Friese is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Olga Friese has authored 16 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Olga Friese's work include Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Virus-based gene therapy research (3 papers). Olga Friese is often cited by papers focused on Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Virus-based gene therapy research (3 papers). Olga Friese collaborates with scholars based in United States, Netherlands and Sweden. Olga Friese's co-authors include Tobias P. Wörner, Joost Snijder, Albert J. R. Heck, Thomas W. Powers, Mavis Agbandje‐McKenna, Antonette Bennett, Jason C. Rouse, Michael R. Schlittler, Leon Rybak and Joanne M. Jordan and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Chromatography A.

In The Last Decade

Olga Friese

16 papers receiving 503 citations

Hit Papers

Adeno-associated virus ca... 2021 2026 2022 2024 2021 50 100 150
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.

  1. Adeno-associated virus capsid assembly is divergent and stochastic
    2021 151 citations Tobias P. Wörner, Antonette Bennett et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Friese United States 10 289 146 90 86 77 16 513
Guillermo I. Tous United States 11 408 1.4× 36 0.2× 72 0.8× 38 0.4× 158 2.1× 16 605
Vidya P. Kumar United States 17 269 0.9× 36 0.2× 11 0.1× 31 0.4× 180 2.3× 47 571
Daniele Peterle Italy 11 205 0.7× 34 0.2× 76 0.8× 47 0.5× 27 0.4× 20 376
Khaja Muneeruddin United States 10 750 2.6× 43 0.3× 163 1.8× 16 0.2× 47 0.6× 14 957
Austin W.T. Chiang United States 17 466 1.6× 85 0.6× 11 0.1× 47 0.5× 93 1.2× 43 720
Michael Bieri Australia 12 369 1.3× 36 0.2× 31 0.3× 18 0.2× 19 0.2× 16 539
Jennifer F. Nemeth United States 11 269 0.9× 32 0.2× 94 1.0× 13 0.2× 162 2.1× 22 445
Cornelia Koy Germany 18 400 1.4× 19 0.1× 211 2.3× 22 0.3× 189 2.5× 50 751
Paul Kearney United States 13 176 0.6× 33 0.2× 109 1.2× 12 0.1× 89 1.2× 25 578

Countries citing papers authored by Olga Friese

Since Specialization
Citations

This map shows the geographic impact of Olga Friese'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 Olga Friese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Friese more than expected).

Fields of papers citing papers by Olga Friese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olga Friese. 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 Olga Friese. The network helps show where Olga Friese may publish in the future.

Co-authorship network of co-authors of Olga Friese

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

All Works

16 of 16 papers shown
1.
Kajbaf, Kimia, Brian Gau, Rachel Edwards, et al.. (2025). A novel in-vitro expression assay by LC/MS/MS enables multi-antigen mRNA vaccine characterization. Scientific Reports. 15(1). 10336–10336. 1 indexed citations
2.
Barnes, Lauren F., et al.. (2025). Characterization of intact mRNA-based therapeutics by charge detection mass spectrometry and mass photometry. Molecular Therapy — Methods & Clinical Development. 33(2). 101454–101454. 1 indexed citations
3.
4.
Bobst, Cedric E., Justin B. Sperry, Olga Friese, & Igor A. Kaltashov. (2021). Simultaneous Evaluation of a Vaccine Component Microheterogeneity and Conformational Integrity Using Native Mass Spectrometry and Limited Charge Reduction. Journal of the American Society for Mass Spectrometry. 32(7). 1631–1637. 9 indexed citations
5.
Wörner, Tobias P., Joost Snijder, Olga Friese, Thomas W. Powers, & Albert J. R. Heck. (2021). Assessment of genome packaging in AAVs using Orbitrap-based charge-detection mass spectrometry. Molecular Therapy — Methods & Clinical Development. 24. 40–47. 40 indexed citations
6.
Wörner, Tobias P., Antonette Bennett, Joost Snijder, et al.. (2021). Adeno-associated virus capsid assembly is divergent and stochastic. Nature Communications. 12(1). 1642–1642. 151 indexed citations breakdown →
7.
Powers, Thomas W., Lauren F. Barnes, Benjamin E. Draper, et al.. (2021). Characterization of Recombinant Chimpanzee Adenovirus C68 Low and High-Density Particles: Impact on Determination of Viral Particle Titer. Frontiers in Bioengineering and Biotechnology. 9. 753480–753480. 4 indexed citations
8.
Huang, Wei, Jin Xie, Paul W. Brown, et al.. (2020). Investigation of novel cyclic structure in glycoconjugate using a simple model system. Carbohydrate Research. 495. 108103–108103. 2 indexed citations
9.
Nadkarni, Durgesh V., et al.. (2018). Process Development and Structural Characterization of an Anti-Notch 3 Antibody–Drug Conjugate. Organic Process Research & Development. 22(3). 286–295. 18 indexed citations
10.
11.
Beal, Kathryn, Paul W. Brown, Gerald F. Casperson, et al.. (2018). Evolution of a comprehensive, orthogonal approach to sequence variant analysis for biotherapeutics. mAbs. 11(1). 1–12. 18 indexed citations
12.
Friese, Olga, et al.. (2017). Characterization of Apolipoprotein C3 (Apo C3) LNA/DNA Impurities and Degradation Products by LC-MS/MS. The AAPS Journal. 19(6). 1735–1744. 4 indexed citations
13.
Luo, Yin, Olga Friese, Herbert A. Runnels, et al.. (2016). The Dual Role of Lipids of the Lipoproteins in Trumenba, a Self-Adjuvanting Vaccine Against Meningococcal Meningitis B Disease. The AAPS Journal. 18(6). 1562–1575. 47 indexed citations
14.
Attur, Mukundan, Svetlana Krasnokutsky, Alexander Statnikov, et al.. (2015). Low‐Grade Inflammation in Symptomatic Knee Osteoarthritis: Prognostic Value of Inflammatory Plasma Lipids and Peripheral Blood Leukocyte Biomarkers. Arthritis & Rheumatology. 67(11). 2905–2915. 91 indexed citations
15.
Misko, Thomas P., Melissa R. Radabaugh, Maureen Highkin, et al.. (2012). Characterization of nitrotyrosine as a biomarker for arthritis and joint injury. Osteoarthritis and Cartilage. 21(1). 151–156. 38 indexed citations
16.
He, Yan, Olga Friese, Michael R. Schlittler, et al.. (2012). On-line coupling of size exclusion chromatography with mixed-mode liquid chromatography for comprehensive profiling of biopharmaceutical drug product. Journal of Chromatography A. 1262. 122–129. 43 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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