Margot G. Paulick

1.5k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Margot G. Paulick is a scholar working on Molecular Biology, Epidemiology and Aging. According to data from OpenAlex, Margot G. Paulick has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Aging. Recurrent topics in Margot G. Paulick's work include Trypanosoma species research and implications (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Chemical Synthesis and Analysis (2 papers). Margot G. Paulick is often cited by papers focused on Trypanosoma species research and implications (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Chemical Synthesis and Analysis (2 papers). Margot G. Paulick collaborates with scholars based in United States, Australia and Israel. Margot G. Paulick's co-authors include Carolyn R. Bertozzi, Matthew Bogyo, Victoria E. Albrow, Galia Blum, Laura E. Edgington‐Mitchell, Alicia B Berger, Neil Lineberry, Jay T. Groves, Martin B. Forstner and Meiliana Tjandra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Medicine.

In The Last Decade

Margot G. Paulick

14 papers receiving 1.1k citations

Hit Papers

The Glycosylphosphatidylinositol Anchor: A Complex Membra... 2008 2026 2014 2020 2008 100 200 300 400
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. The Glycosylphosphatidylinositol Anchor: A Complex Membrane-Anchoring Structure for Proteins
    2008 442 citations Margot G. Paulick, Carolyn R. Bertozzi Biochemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margot G. Paulick United States 12 784 275 138 122 118 14 1.1k
Manuel Dauchez France 23 667 0.9× 199 0.7× 133 1.0× 88 0.7× 87 0.7× 83 1.4k
Haim Barr Israel 16 662 0.8× 147 0.5× 127 0.9× 133 1.1× 67 0.6× 35 953
Tyler J. Stewart United States 7 1.2k 1.5× 322 1.2× 174 1.3× 104 0.9× 60 0.5× 9 1.6k
Laura E. Sanman United States 11 615 0.8× 173 0.6× 86 0.6× 244 2.0× 153 1.3× 16 987
Ikram El Yazidi‐Belkoura France 22 1.0k 1.3× 187 0.7× 112 0.8× 195 1.6× 58 0.5× 36 1.6k
Mayumi Ishihara United States 18 728 0.9× 219 0.8× 128 0.9× 66 0.5× 28 0.2× 35 1.1k
Sonia Di Gaetano Italy 24 974 1.2× 177 0.6× 69 0.5× 131 1.1× 55 0.5× 72 1.3k
Jianye Zang China 25 1.8k 2.3× 111 0.4× 248 1.8× 186 1.5× 63 0.5× 76 2.3k
Berndt Oberhauser Austria 18 1.1k 1.4× 156 0.6× 121 0.9× 73 0.6× 41 0.3× 26 1.3k
Zhimeng Wu China 22 1.1k 1.4× 235 0.9× 57 0.4× 174 1.4× 149 1.3× 101 1.5k

Countries citing papers authored by Margot G. Paulick

Since Specialization
Citations

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

Fields of papers citing papers by Margot G. Paulick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margot G. Paulick. 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 Margot G. Paulick. The network helps show where Margot G. Paulick may publish in the future.

Co-authorship network of co-authors of Margot G. Paulick

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

All Works

14 of 14 papers shown
1.
Cavett, V., Fred R. Ward, Kim F. McClure, et al.. (2024). Activity-Based DNA-Encoded Library Screening for Selective Inhibitors of Eukaryotic Translation. ACS Central Science. 10(10). 1960–1968. 3 indexed citations
2.
Khetan, Sudhir, et al.. (2017). Quantification of the Disaccharide Trehalose from Biological Samples: A Comparison of Analytical Methods. ACS Omega. 2(9). 5813–5823. 22 indexed citations
3.
O’Connor, Lauren E, et al.. (2017). Photolysis and cellular toxicities of the organic ultraviolet filter chemical octyl methoxycinnamate and its photoproducts. Environmental Science Processes & Impacts. 19(6). 851–860. 37 indexed citations
4.
Smith, Timothy J., et al.. (2017). Esterified Trehalose Analogues Protect Mammalian Cells from Heat Shock. ChemBioChem. 18(18). 1863–1870. 6 indexed citations
5.
Kretschmer, Philip, et al.. (2016). A liquid chromatographytandem mass spectrometry assay for the detection and quantification of trehalose in biological samples. Journal of Chromatography B. 1033-1034. 9–16. 12 indexed citations
6.
Lyo, Victoria, Fiore Cattaruzza, Tyson N. Kim, et al.. (2012). Active cathepsins B, L, and S in murine and human pancreatitis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 303(8). G894–G903. 30 indexed citations
7.
Paulick, Margot G. & Matthew Bogyo. (2011). Development of Activity-Based Probes for Cathepsin X. ACS Chemical Biology. 6(6). 563–572. 35 indexed citations
8.
Edgington‐Mitchell, Laura E., Alicia B Berger, Galia Blum, et al.. (2009). Noninvasive optical imaging of apoptosis by caspase-targeted activity-based probes. Nature Medicine. 15(8). 967–973. 241 indexed citations
9.
Paulick, Margot G. & Carolyn R. Bertozzi. (2008). The Glycosylphosphatidylinositol Anchor: A Complex Membrane-Anchoring Structure for Proteins. Biochemistry. 47(27). 6991–7000. 442 indexed citations breakdown →
10.
Paulick, Margot G. & Matthew Bogyo. (2008). Application of activity-based probes to the study of enzymes involved in cancer progression. Current Opinion in Genetics & Development. 18(1). 97–106. 65 indexed citations
11.
Paulick, Margot G., Martin B. Forstner, Jay T. Groves, & Carolyn R. Bertozzi. (2007). A chemical approach to unraveling the biological function of the glycosylphosphatidylinositol anchor. Proceedings of the National Academy of Sciences. 104(51). 20332–20337. 68 indexed citations
12.
Paulick, Margot G., et al.. (2007). Synthetic Analogues of Glycosylphosphatidylinositol-Anchored Proteins and Their Behavior in Supported Lipid Bilayers. Journal of the American Chemical Society. 129(37). 11543–11550. 75 indexed citations
13.
Paulick, Margot G., Kathryn M. Hart, Kristin M. Brinner, et al.. (2006). Cleavable Hydrophilic Linker for One-Bead-One-Compound Sequencing of Oligomer Libraries by Tandem Mass Spectrometry. Journal of Combinatorial Chemistry. 8(3). 417–426. 81 indexed citations
14.
Boros, Eric E., David N. Deaton, Anne M. Hassell, et al.. (2004). Exploration of the P2–P3 SAR of aldehyde cathepsin K inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(13). 3425–3429. 27 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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