John P. Gabrielson

1.2k total citations
25 papers, 881 citations indexed

About

John P. Gabrielson is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, John P. Gabrielson has authored 25 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Spectroscopy. Recurrent topics in John P. Gabrielson's work include Protein purification and stability (19 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). John P. Gabrielson is often cited by papers focused on Protein purification and stability (19 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). John P. Gabrielson collaborates with scholars based in United States, Italy and Germany. John P. Gabrielson's co-authors include Kelly K. Arthur, Yijia Jiang, Theodore W. Randolph, Brent S. Kendrick, Salman Muzammil, Michael R. Stoner, John F. Carpenter, Linda O. Narhi, Xichdao Nguyen and Letha Chemmalil and has published in prestigious journals such as Biochemistry, Analytical Biochemistry and Scientific Reports.

In The Last Decade

John P. Gabrielson

23 papers receiving 851 citations

Peers

John P. Gabrielson
Derrick S. Katayama United States
Pascal Valax United States
Bao‐Shiang Lee United States
Himanshu S. Gadgil United States
Hardeep S. Samra United States
Reza Esfandiary United States
Tim J. Kamerzell United States
Yong Xie China
Derrick S. Katayama United States
John P. Gabrielson
Citations per year, relative to John P. Gabrielson John P. Gabrielson (= 1×) peers Derrick S. Katayama

Countries citing papers authored by John P. Gabrielson

Since Specialization
Citations

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

Fields of papers citing papers by John P. Gabrielson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Gabrielson. 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 John P. Gabrielson. The network helps show where John P. Gabrielson may publish in the future.

Co-authorship network of co-authors of John P. Gabrielson

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

All Works

20 of 20 papers shown
1.
Kendrick, Brent S., et al.. (2025). Analytical control strategy for biologics. Part I: Foundations. Journal of Pharmaceutical Sciences. 114(7). 103826–103826.
2.
Kendrick, Brent S., John P. Gabrielson, M.C. Christie, et al.. (2024). Quality risk management and data integrity in R&D laboratories supporting CMC lifecycle of biological products. Journal of Pharmaceutical Sciences. 113(11). 3123–3136. 3 indexed citations
3.
Davagnino, Juan & John P. Gabrielson. (2022). Developing Lyophilized Formulations for Protein Biopharmaceuticals Containing Salt that Produce Placebos of Corresponding Appearance. Journal of Pharmaceutical Sciences. 111(10). 2930–2937. 2 indexed citations
4.
Gabrielson, John P., et al.. (2020). Universal Qualification of Analytical Procedures for Characterization and Control of Biologics. Journal of Pharmaceutical Sciences. 109(8). 2413–2425. 7 indexed citations
5.
Kendrick, Brent S., et al.. (2019). Determining Spectroscopic Quantitation Limits for Misfolded Structures. Journal of Pharmaceutical Sciences. 109(1). 933–936. 20 indexed citations
6.
Zhou, Dongming, et al.. (2016). Rapid Identification and Characterization of Formulated Protein Products by Raman Spectroscopy Coupled with Discriminant Analysis. PDA Journal of Pharmaceutical Science and Technology. 70(1). 62–75. 3 indexed citations
7.
Arthur, Kelly K., Brent S. Kendrick, & John P. Gabrielson. (2015). Guidance to Achieve Accurate Aggregate Quantitation in Biopharmaceuticals by SV-AUC. Methods in enzymology on CD-ROM/Methods in enzymology. 562. 477–500. 12 indexed citations
9.
Jiang, Yijia, et al.. (2015). Technical Decision Making with Higher Order Structure Data: Higher Order Structure Characterization During Protein Therapeutic Candidate Screening. Journal of Pharmaceutical Sciences. 104(4). 1533–1538. 9 indexed citations
10.
Gabrielson, John P. & William F. Weiss. (2015). Technical Decision-Making with Higher Order Structure Data: Starting a New Dialogue. Journal of Pharmaceutical Sciences. 104(4). 1240–1245. 24 indexed citations
11.
Arthur, Kelly K., et al.. (2014). Quantitative spectral comparison by weighted spectral difference for protein higher order structure confirmation. Analytical Biochemistry. 464. 60–62. 26 indexed citations
12.
Li, Cynthia, et al.. (2012). Comparison of quantitative spectral similarity analysis methods for protein higher-order structure confirmation. Analytical Biochemistry. 434(1). 153–165. 35 indexed citations
13.
Wen, Jie, Kelly K. Arthur, Letha Chemmalil, et al.. (2011). Applications of Differential Scanning Calorimetry for Thermal Stability Analysis of Proteins: Qualification of DSC. Journal of Pharmaceutical Sciences. 101(3). 955–964. 77 indexed citations
14.
Jiang, Yijia, Cynthia Li, Xichdao Nguyen, et al.. (2011). Qualification of FTIR spectroscopic method for protein secondary structural analysis. Journal of Pharmaceutical Sciences. 100(11). 4631–4641. 105 indexed citations
15.
Trotter, Joseph, et al.. (2010). Flow cytometry: A promising technique for the study of silicone oil-induced particulate formation in protein formulations. Analytical Biochemistry. 410(2). 191–199. 63 indexed citations
16.
Arthur, Kelly K., John P. Gabrielson, Brent S. Kendrick, & Michael R. Stoner. (2009). Detection of Protein Aggregates by Sedimentation Velocity Analytical Ultracentrifugation (SV-AUC): Sources of Variability and Their Relative Importance. Journal of Pharmaceutical Sciences. 98(10). 3522–3539. 40 indexed citations
17.
Gabrielson, John P., Kelly K. Arthur, Michael R. Stoner, et al.. (2009). Precision of protein aggregation measurements by sedimentation velocity analytical ultracentrifugation in biopharmaceutical applications. Analytical Biochemistry. 396(2). 231–241. 38 indexed citations
18.
Gabrielson, John P., Kelly K. Arthur, Brent S. Kendrick, Theodore W. Randolph, & Michael R. Stoner. (2008). Common Excipients Impair Detection of Protein Aggregates During Sedimentation Velocity Analytical Ultracentrifugation. Journal of Pharmaceutical Sciences. 98(1). 50–62. 34 indexed citations
19.
Gabrielson, John P., Mark L. Brader, Allen H. Pekar, et al.. (2006). Quantitation of Aggregate Levels in a Recombinant Humanized Monoclonal Antibody Formulation by Size-Exclusion Chromatography, Asymmetrical Flow Field Flow Fractionation, and Sedimentation Velocity. Journal of Pharmaceutical Sciences. 96(2). 268–279. 127 indexed citations
20.
Gabrielson, John P., Theodore W. Randolph, Brent S. Kendrick, & Michael R. Stoner. (2006). Sedimentation velocity analytical ultracentrifugation and SEDFIT/c(s): Limits of quantitation for a monoclonal antibody system. Analytical Biochemistry. 361(1). 24–30. 44 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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