Simon Letarte

1.1k total citations
19 papers, 877 citations indexed

About

Simon Letarte is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Simon Letarte has authored 19 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Spectroscopy. Recurrent topics in Simon Letarte's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Advanced Proteomics Techniques and Applications (6 papers) and Protein purification and stability (6 papers). Simon Letarte is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Advanced Proteomics Techniques and Applications (6 papers) and Protein purification and stability (6 papers). Simon Letarte collaborates with scholars based in United States, Switzerland and Canada. Simon Letarte's co-authors include Ruedi Aebersold, Alexander Schmidt, Lukas Mueller, Olga Vitek, Bernd Bodenmiller, Mi‐Youn Brusniak, Markus Müller, Oliver Rinner, James S. Eddes and Douglas D. Richardson and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Analytical Chemistry.

In The Last Decade

Simon Letarte

17 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Letarte United States 12 638 436 158 66 65 19 877
Flavio Monigatti United States 11 599 0.9× 306 0.7× 72 0.5× 57 0.9× 63 1.0× 12 890
Haidi Yin United States 18 572 0.9× 177 0.4× 138 0.9× 64 1.0× 79 1.2× 27 728
John P. Cortens Canada 12 833 1.3× 666 1.5× 152 1.0× 33 0.5× 42 0.6× 13 1.2k
Michele Tinti United Kingdom 16 885 1.4× 84 0.2× 163 1.0× 57 0.9× 64 1.0× 41 1.1k
Richard J. Mehigh United States 8 495 0.8× 275 0.6× 54 0.3× 34 0.5× 30 0.5× 10 784
Patricia Alfonso Spain 16 511 0.8× 134 0.3× 63 0.4× 47 0.7× 116 1.8× 26 816
Saiful M. Chowdhury United States 14 318 0.5× 298 0.7× 62 0.4× 39 0.6× 40 0.6× 40 591
Jonathan St‐Germain Canada 18 609 1.0× 84 0.2× 124 0.8× 32 0.5× 89 1.4× 33 841
Agathe Niewienda Germany 11 476 0.7× 105 0.2× 149 0.9× 15 0.2× 95 1.5× 18 695
Lindsay D. Rogers Canada 14 446 0.7× 197 0.5× 77 0.5× 12 0.2× 126 1.9× 15 727

Countries citing papers authored by Simon Letarte

Since Specialization
Citations

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

Fields of papers citing papers by Simon Letarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Letarte

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

All Works

19 of 19 papers shown
1.
Pan, Jessica, Daniel Burke, Patricia Rose, et al.. (2025). Utilizing non-clonal CHO cell derived materials for preclinical studies of complex molecules. BMC Biotechnology. 25(1). 33–33.
2.
Chen, Edwin, et al.. (2025). Computational analysis reveals non-consensus N-glycosylation sequons in antibody Fab region. mAbs. 17(1). 2574406–2574406.
3.
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6.
Li, Xuanwen, Divya Chandra, Simon Letarte, et al.. (2021). Profiling Active Enzymes for Polysorbate Degradation in Biotherapeutics by Activity-Based Protein Profiling. Analytical Chemistry. 93(23). 8161–8169. 43 indexed citations
7.
Yang, Rong‐Sheng, et al.. (2021). Advancing Structure Characterization of PS-80 by Charge-Reduced Mass Spectrometry and Software-Assisted Composition Analysis. Journal of Pharmaceutical Sciences. 111(2). 314–322. 11 indexed citations
8.
Zhang, Ying, Simon Letarte, Rong‐Sheng Yang, et al.. (2020). A Tiered Approach for Characterization to Ensure Quality, Reproducibility, and Long-Term Stability of Critical Reagents in Regulated Bioanalysis to Support PK/ADA/NAb Assays for Biologics and Vaccines Programs. ACS Pharmacology & Translational Science. 3(6). 1310–1317. 6 indexed citations
9.
Sheikh, Nadeem A., Jason Cham, Li Zhang, et al.. (2016). Clonotypic Diversification of Intratumoral T Cells Following Sipuleucel-T Treatment in Prostate Cancer Subjects. Cancer Research. 76(13). 3711–3718. 50 indexed citations
10.
Fong, Lawrence, Jason Cham, Li Zhang, et al.. (2015). Changes in circulating and intratumoral T cell clonotypes in sipuleucel-T-treated prostate cancer patients.. Journal of Clinical Oncology. 33(15_suppl). e16008–e16008. 2 indexed citations
11.
GuhaThakurta, Debraj, et al.. (2013). Applications of systems biology in cancer immunotherapy: from target discovery to biomarkers of clinical outcome. Expert Review of Clinical Pharmacology. 6(4). 387–401. 14 indexed citations
12.
Mirzaei, Hamid, et al.. (2009). Halogenated Peptides as Internal Standards (H-PINS). Molecular & Cellular Proteomics. 8(8). 1934–1946. 22 indexed citations
13.
Brusniak, Mi‐Youn, Bernd Bodenmiller, David Campbell, et al.. (2008). Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC Bioinformatics. 9(1). 542–542. 56 indexed citations
14.
Letarte, Simon, David Campbell, James S. Eddes, et al.. (2008). Differential Plasma Glycoproteome of p19ARF Skin Cancer Mouse Model Using the Corra Label-Free LC-MS Proteomics Platform. Clinical Proteomics. 4(3-4). 105–116. 11 indexed citations
15.
Mueller, Lukas, Oliver Rinner, Alexander Schmidt, et al.. (2007). SuperHirn – a novel tool for high resolution LC‐MS‐based peptide/protein profiling. PROTEOMICS. 7(19). 3470–3480. 262 indexed citations
16.
Klimek, John, James S. Eddes, Laura Hohmann, et al.. (2007). The Standard Protein Mix Database: A Diverse Data Set To Assist in the Production of Improved Peptide and Protein Identification Software Tools. Journal of Proteome Research. 7(1). 96–103. 139 indexed citations
17.
Stuart, Lynda M., Jonathan Boulais, Guillaume M. Charrière, et al.. (2006). A systems biology analysis of the Drosophila phagosome. Nature. 445(7123). 95–101. 185 indexed citations
18.
Letarte, Simon, et al.. (2004). Py-MAB-Tof detection and Identification of microorganisms in urine. Journal of Analytical and Applied Pyrolysis. 71(1). 13–25. 6 indexed citations
19.
Wilkes, Jon G., Manuel Holcomb, Fatemeh Rafii, et al.. (2002). Defining and using microbial spectral databases. Journal of the American Society for Mass Spectrometry. 13(7). 875–887. 11 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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