Claudia Ctortecka

1.2k total citations · 1 hit paper
15 papers, 634 citations indexed

About

Claudia Ctortecka is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Claudia Ctortecka has authored 15 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Claudia Ctortecka's work include Advanced Proteomics Techniques and Applications (10 papers), Single-cell and spatial transcriptomics (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Claudia Ctortecka is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Single-cell and spatial transcriptomics (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Claudia Ctortecka collaborates with scholars based in United States, Austria and Canada. Claudia Ctortecka's co-authors include Karl Mechtler, Sasha Mendjan, Stefan M. Jahnel, Lavinia Ceci Ginistrelli, Nóra Pápai, Pablo Hofbauer, Clara Schmidt, Alison Deyett, Maria Novatchkova and Steven A. Carr and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Claudia Ctortecka

13 papers receiving 630 citations

Hit Papers

Cardioids reveal self-org... 2021 2026 2022 2024 2021 100 200 300
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. Cardioids reveal self-organizing principles of human cardiogenesis
    2021 321 citations Pablo Hofbauer, Stefan M. Jahnel et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Ctortecka United States 10 459 214 189 144 42 15 634
Martina Dreßen Germany 14 521 1.1× 47 0.2× 72 0.4× 133 0.9× 184 4.4× 34 720
Sumana Mukherjee India 12 227 0.5× 53 0.2× 68 0.4× 28 0.2× 9 0.2× 28 381
Cassandra L. Clift United States 11 162 0.4× 128 0.6× 24 0.1× 16 0.1× 57 1.4× 16 288
B. U. Specht Germany 8 463 1.0× 16 0.1× 40 0.2× 180 1.3× 102 2.4× 10 626
Filomena Spada Italy 8 292 0.6× 24 0.1× 78 0.4× 35 0.2× 6 0.1× 11 415
Olga Will Germany 11 138 0.3× 18 0.1× 44 0.2× 47 0.3× 10 0.2× 27 352
James Pilling United Kingdom 10 215 0.5× 7 0.0× 86 0.5× 71 0.5× 41 1.0× 15 355
Amy T. Shah United States 10 160 0.3× 13 0.1× 167 0.9× 18 0.1× 18 0.4× 13 437
Karina Marangoni Brazil 11 227 0.5× 15 0.1× 110 0.6× 16 0.1× 19 0.5× 17 406

Countries citing papers authored by Claudia Ctortecka

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Ctortecka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Ctortecka

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

All Works

15 of 15 papers shown
1.
Haines, Moe, Claudia Ctortecka, Chelsea J. Newton, et al.. (2025). High-Throughput Proteomic and Phosphoproteomic Analysis of Formalin-Fixed Paraffin-Embedded Tissues. Molecular & Cellular Proteomics. 24(9). 101044–101044.
2.
Cutler, Ronald, Claudia Ctortecka, Joshua Cantlon, et al.. (2025). Mass spectrometry-based profiling of single-cell histone post-translational modifications to dissect chromatin heterogeneity. Nature Communications. 16(1). 11100–11100.
3.
Ctortecka, Claudia, Natalie M. Clark, Brian Boyle, et al.. (2024). Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications. Nature Communications. 15(1). 5707–5707. 35 indexed citations
4.
Ctortecka, Claudia, et al.. (2024). Label-Free Sample Preparation for Single-Cell Proteomics. Methods in molecular biology. 2817. 1–7. 1 indexed citations
5.
Ctortecka, Claudia, Anjali Seth, Sasha Mendjan, et al.. (2023). An Automated Nanowell-Array Workflow for Quantitative Multiplexed Single-Cell Proteomics Sample Preparation at High Sensitivity. Molecular & Cellular Proteomics. 22(12). 100665–100665. 57 indexed citations
6.
Ctortecka, Claudia, Alvaro Sebastian Vaca Jácome, Susan Klaeger, et al.. (2023). Sensitive, High-Throughput HLA-I and HLA-II Immunopeptidomics Using Parallel Accumulation-Serial Fragmentation Mass Spectrometry. Molecular & Cellular Proteomics. 22(6). 100563–100563. 23 indexed citations
7.
Ctortecka, Claudia, Karl R. Clauser, Namrata D. Udeshi, et al.. (2023). 1040-B Identifying tumor-associated antigens in different stages of multiple myeloma using low input HLA immunopeptidomics. SHILAP Revista de lepidopterología. A1828–A1828. 1 indexed citations
8.
Hofbauer, Pablo, Stefan M. Jahnel, Nóra Pápai, et al.. (2021). Cardioids reveal self-organizing principles of human cardiogenesis. Cell. 184(12). 3299–3317.e22. 321 indexed citations breakdown →
9.
Ctortecka, Claudia & Karl Mechtler. (2021). The rise of single‐cell proteomics. SHILAP Revista de lepidopterología. 2(3-4). 84–94. 42 indexed citations
10.
Ctortecka, Claudia, Karel Stejskal, Josef Penninger, et al.. (2021). Comparative Proteome Signatures of Trace Samples by Multiplexed Data-Independent Acquisition. Molecular & Cellular Proteomics. 21(1). 100177–100177. 23 indexed citations
11.
Ctortecka, Claudia, et al.. (2021). Quantitative Accuracy and Precision in Multiplexed Single-Cell Proteomics. Analytical Chemistry. 94(5). 2434–2443. 32 indexed citations
12.
Sumi, Natália J., Claudia Ctortecka, Qianqian Hu, et al.. (2019). Divergent Polypharmacology-Driven Cellular Activity of Structurally Similar Multi-Kinase Inhibitors through Cumulative Effects on Individual Targets. Cell chemical biology. 26(9). 1240–1252.e11. 13 indexed citations
13.
Stadlmann, Johannes, Otto Hudecz, Claudia Ctortecka, et al.. (2019). Improved Sensitivity in Low-Input Proteomics Using Micropillar Array-Based Chromatography. Analytical Chemistry. 91(22). 14203–14207. 61 indexed citations
14.
Ctortecka, Claudia, Vinayak Palve, Brent M. Kuenzi, et al.. (2018). Functional Proteomics and Deep Network Interrogation Reveal a Complex Mechanism of Action of Midostaurin in Lung Cancer Cells. Molecular & Cellular Proteomics. 17(12). 2434–2447. 17 indexed citations
15.
Ctortecka, Claudia, Clara Jana‐Lui Busch, Shane Austin, et al.. (2017). A Comprehensive Analytical Strategy To Identify Malondialdehyde-Modified Proteins and Peptides. Analytical Chemistry. 89(7). 3847–3852. 8 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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