Sarah Rogstad

620 total citations
18 papers, 387 citations indexed

About

Sarah Rogstad is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Sarah Rogstad has authored 18 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Spectroscopy. Recurrent topics in Sarah Rogstad's work include Protein purification and stability (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Sarah Rogstad is often cited by papers focused on Protein purification and stability (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Sarah Rogstad collaborates with scholars based in United States and Thailand. Sarah Rogstad's co-authors include Anneliese M. Faustino, Michael S. Boyne, David A. Keire, Kurt Brorson, Jun Eun Park, Xiaoshi Wang, Sau Lee, David N. Powers, Haoheng Yan and Bazarragchaa Damdinsuren and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Journal of Pharmaceutical Sciences.

In The Last Decade

Sarah Rogstad

17 papers receiving 371 citations

Peers

Sarah Rogstad

RNMI

SPECT

IMMUN

M. Marcia Federici United States

Yan J Zhang United States

Michael L. Nedved United States

Julien Camperi France

Bastiaan L. Duivelshof Switzerland

Difei Qiu United States

Hansjörg Toll Germany

Pernille Foged Jensen Denmark

Santosh V. Thakkar United States

William Burkitt United Kingdom

M. Marcia Federici United States

Sarah Rogstad

299 ×1.0

128 ×0.9

RNMI

71 ×0.6

SPECT

48 ×1.0

IMMUN

36 ×0.9

Citations per year, relative to Sarah Rogstad Sarah Rogstad (= 1×) peers M. Marcia Federici

Countries citing papers authored by Sarah Rogstad

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Rogstad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Rogstad

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Shipman, J. J., et al.. (2025). A Multi-Laboratory, Multi-Platform Analysis of the Multi-Attribute Method. Pharmaceuticals. 18(11). 1613–1613. 1 indexed citations

Shipman, J. J., You Zhuo, Kang Chen, et al.. (2024). Assessment of monoclonal antibody glycosylation: a comparative study using HRMS, NMR, and HILIC-FLD. Analytical and Bioanalytical Chemistry. 416(13). 3127–3137. 4 indexed citations

Weisz, Daniel A., et al.. (2024). Validation of a liquid chromatography-high-resolution mass spectrometry method to quantify peptide-related impurities in teriparatide. Journal of Pharmaceutical and Biomedical Analysis. 255. 116654–116654.

Sommers, Cynthia D., et al.. (2023). The Use of Mass Spectrometry in Therapeutic Protein Biologics License Applications: A Retrospective Review Revisited. Journal of the American Society for Mass Spectrometry. 34(11). 2575–2584. 10 indexed citations

Wang, Xiaoshi, et al.. (2023). Method validation and new peak detection for the liquid chromatography-mass spectrometry multi-attribute method. Journal of Pharmaceutical and Biomedical Analysis. 234. 115564–115564. 13 indexed citations

Biel, Thomas, Guozhang Zou, Uriel Ortega‐Rodriguez, et al.. (2022). An etanercept O-glycovariant with enhanced potency. Molecular Therapy — Methods & Clinical Development. 25. 124–135. 9 indexed citations

Xie, Tao, Hui Fang, Weiming Ouyang, et al.. (2020). The ELISA Detectability and Potency of Pegfilgrastim Decrease in Physiological Conditions: Key Roles for Aggregation and Individual Variability. Scientific Reports. 10(1). 2476–2476. 8 indexed citations

Cao, Zhijun, Laura K. Schnackenberg, Jinchun Sun, et al.. (2019). Stability of the Human Plasma Proteome to Pre-analytical Variability as Assessed by an Aptamer-Based Approach. Journal of Proteome Research. 18(10). 3661–3670. 16 indexed citations

Rogstad, Sarah, Haoheng Yan, Xiaoshi Wang, et al.. (2019). Multi-Attribute Method for Quality Control of Therapeutic Proteins. Analytical Chemistry. 91(22). 14170–14177. 84 indexed citations

10.

Cao, Zhijun, Beate Kamlage, Jinchun Sun, et al.. (2019). An Integrated Analysis of Metabolites, Peptides, and Inflammation Biomarkers for Assessment of Preanalytical Variability of Human Plasma. Journal of Proteome Research. 18(6). 2411–2421. 17 indexed citations

11.

Mohammad, Adil, Cyrus Agarabi, Sarah Rogstad, et al.. (2018). An ICP-MS platform for metal content assessment of cell culture media and evaluation of spikes in metal concentration on the quality of an IgG3:κ monoclonal antibody during production. Journal of Pharmaceutical and Biomedical Analysis. 162. 91–100. 19 indexed citations

12.

Faustino, Anneliese M., et al.. (2018). The role of mass spectrometry in the characterization of biologic protein products. Expert Review of Proteomics. 15(5). 431–449. 53 indexed citations

13.

Rogstad, Sarah, et al.. (2016). A Retrospective Evaluation of the Use of Mass Spectrometry in FDA Biologics License Applications. Journal of the American Society for Mass Spectrometry. 28(5). 786–794. 94 indexed citations

14.

Agarabi, Cyrus, Scott Lute, Erik K. Read, et al.. (2016). Exploring the linkage between cell culture process parameters and downstream processing utilizing a plackett‐burman design for a model monoclonal antibody. Biotechnology Progress. 33(1). 163–170. 18 indexed citations

15.

Schiel, John E., Sarah Rogstad, & Michael T. Boyne. (2015). Comparison of Traditional 2-AB Fluorescence LC–MS/MS and Automated LC–MS for the Comparative Glycan Analysis of Monoclonal Antibodies. Journal of Pharmaceutical Sciences. 104(8). 2464–2472. 9 indexed citations

16.

Rogstad, Sarah, Eric Pang, Cynthia D. Sommers, et al.. (2015). Modern analytics for synthetically derived complex drug substances: NMR, AFFF–MALS, and MS tests for glatiramer acetate. Analytical and Bioanalytical Chemistry. 407(29). 8647–8659. 17 indexed citations

17.

Levy, Michaella J., et al.. (2015). Marketplace Analysis of Conjugated Estrogens: Determining the Consistently Present Steroidal Content with LC-MS. The AAPS Journal. 17(6). 1438–1445. 5 indexed citations

18.

Rogstad, Sarah, Tatiana Sorkina, Alexander Sorkin, & Christine C. Wu. (2013). Improved Precision of Proteomic Measurements in Immunoprecipitation Based Purifications Using Relative Quantitation. Analytical Chemistry. 85(9). 4301–4306. 10 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.

Explore authors with similar magnitude of impact