Fraser Hof

4.8k total citations · 1 hit paper
98 papers, 4.1k citations indexed

About

Fraser Hof is a scholar working on Molecular Biology, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Fraser Hof has authored 98 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 40 papers in Organic Chemistry and 32 papers in Spectroscopy. Recurrent topics in Fraser Hof's work include Supramolecular Chemistry and Complexes (24 papers), Chemical Synthesis and Analysis (23 papers) and Molecular Sensors and Ion Detection (22 papers). Fraser Hof is often cited by papers focused on Supramolecular Chemistry and Complexes (24 papers), Chemical Synthesis and Analysis (23 papers) and Molecular Sensors and Ion Detection (22 papers). Fraser Hof collaborates with scholars based in Canada, United States and Switzerland. Fraser Hof's co-authors include Julius Rebek, Colin Nuckolls, Stephen L. Craig, Kevin D. Daze, François Diederich, W. Bernd Schweizer, Darren W. Johnson, Laurent Trembleau, Orion B. Berryman and Michael J. Hynes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Fraser Hof

97 papers receiving 4.1k citations

Hit Papers

Molecular Encapsulation 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fraser Hof Canada 34 2.3k 1.6k 1.5k 933 882 98 4.1k
Placido Neri Italy 35 3.3k 1.5× 2.0k 1.2× 1.1k 0.7× 1.4k 1.5× 891 1.0× 205 4.4k
Francesco Sansone Italy 39 2.8k 1.2× 1.8k 1.1× 2.3k 1.5× 1.2k 1.3× 406 0.5× 128 5.0k
Emmanuel A. Meyer Switzerland 16 2.0k 0.9× 970 0.6× 1.4k 0.9× 987 1.1× 1.7k 1.9× 27 4.5k
Anthony W. Coleman France 40 2.9k 1.3× 1.8k 1.1× 1.6k 1.1× 1.4k 1.5× 815 0.9× 191 5.4k
Jovica D. Badjić United States 30 2.8k 1.2× 1.5k 0.9× 898 0.6× 1.5k 1.6× 498 0.6× 104 3.9k
Kyu‐Sung Jeong South Korea 42 3.6k 1.6× 2.2k 1.4× 2.2k 1.5× 1.5k 1.6× 565 0.6× 133 6.0k
Isao Azumaya Japan 32 3.2k 1.4× 812 0.5× 1.3k 0.9× 936 1.0× 607 0.7× 218 4.3k
M. Consuelo Jiménez Spain 24 2.2k 1.0× 926 0.6× 879 0.6× 1.6k 1.7× 609 0.7× 116 3.6k
Pilar Prados Spain 30 2.1k 0.9× 1.9k 1.2× 949 0.6× 1.1k 1.1× 517 0.6× 80 3.3k
Marcey L. Waters United States 38 1.7k 0.7× 905 0.6× 2.8k 1.9× 788 0.8× 738 0.8× 107 4.5k

Countries citing papers authored by Fraser Hof

Since Specialization
Citations

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

Fields of papers citing papers by Fraser Hof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fraser Hof

This figure shows the co-authorship network connecting the top 25 collaborators of Fraser Hof. A scholar is included among the top collaborators of Fraser Hof 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 Fraser Hof. Fraser Hof 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.
Weersing, Ellen, et al.. (2024). Pharmacological targeting of CBX7 alters the epigenetic landscape and induces differentiation of leukemic cells. PubMed. 1(4). 100052–100052. 1 indexed citations
2.
Oliver, Allen G., et al.. (2024). Extended Sulfo-Pillar[6]arenes ─ a New Host Family and Its Application in the Binding of Direct Oral Anticoagulants. Journal of the American Chemical Society. 2 indexed citations
3.
Krämer, Joana, et al.. (2024). Mixed host co-assembled systems for broad-scope analyte sensing. Chemical Science. 15(31). 12388–12397. 7 indexed citations
4.
Hof, Fraser, et al.. (2023). Adaptive Supramolecular Networks: Emergent Sensing from Complex Systems. Angewandte Chemie International Edition. 62(45). e202312407–e202312407. 9 indexed citations
5.
Deng, Chun‐Lin, et al.. (2022). Molecular recognition of methylated amino acids and peptides by Pillar[6]MaxQ. Organic & Biomolecular Chemistry. 20(37). 7429–7438. 6 indexed citations
6.
Maguire, Mary K., et al.. (2021). Calix[4]arene sulfonate hosts selectively modified on the upper rim: a study of nicotine binding strength and geometry. Supramolecular chemistry. 33(4). 88–96. 5 indexed citations
7.
Schräder, Thomas, et al.. (2021). Binding Methylarginines and Methyllysines as Free Amino Acids: A Comparative Study of Multiple Host Classes**. ChemBioChem. 23(2). e202100502–e202100502. 6 indexed citations
8.
Milosevich, Natalia, Aktan Alpsoy, Sijie Wang, et al.. (2021). Polycomb Paralog Chromodomain Inhibitors Active against Both CBX6 and CBX8**. ChemMedChem. 16(19). 3027–3034. 10 indexed citations
9.
Hanley, Ronan P., et al.. (2019). In Vitro Assessment of Putative PD-1/PD-L1 Inhibitors: Suggestions of an Alternative Mode of Action. ACS Medicinal Chemistry Letters. 10(8). 1187–1192. 23 indexed citations
10.
Simhadri, Chakravarthi, Kevin D. Daze, Natalia Milosevich, et al.. (2019). Rational Adaptation of L3MBTL1 Inhibitors to Create Small‐Molecule Cbx7 Antagonists. ChemMedChem. 14(15). 1444–1456. 7 indexed citations
11.
Doan, Ngoc‐Duc, et al.. (2017). Aza‐amino acid scanning of chromobox homolog 7 (CBX7) ligands. Journal of Peptide Science. 23(4). 266–271. 5 indexed citations
12.
Hanley, Ronan P., et al.. (2015). Salicylates are interference compounds in TR-FRET assays. Bioorganic & Medicinal Chemistry Letters. 26(3). 973–977. 12 indexed citations
13.
Wu, Jian, Wei Li, Ghazal Hajisalem, et al.. (2014). Trace cancer biomarker quantification using polystyrene-functionalized gold nanorods. Biomedical Optics Express. 5(12). 4101–4101. 5 indexed citations
14.
Daze, Kevin D., et al.. (2013). Synthetic trimethyllysine receptors that bind histone 3, trimethyllysine 27 (H3K27me3) and disrupt its interaction with the epigenetic reader protein CBX7. Bioorganic & Medicinal Chemistry. 21(22). 7004–7010. 33 indexed citations
15.
Minaker, Samuel A., et al.. (2012). Antibody-Free Reading of the Histone Code Using a Simple Chemical Sensor Array. Journal of the American Chemical Society. 134(28). 11674–11680. 103 indexed citations
17.
West, Nathaniel R., et al.. (2009). Structural and functional characterization of a triple mutant form of S100A7 defective for Jab1 binding. Protein Science. 18(12). 2615–2623. 6 indexed citations
18.
Hof, Fraser & F. Diederich. (2004). Medicinal chemistry in academia: molecular recognition with biological receptors. Chemical Communications. 477–477. 25 indexed citations
19.
Hof, Fraser, et al.. (2003). Acetylcholine Recognition by a Deep, Biomimetic Pocket. Angewandte Chemie International Edition. 42(27). 3150–3153. 90 indexed citations
20.
Johnson, Darren W., Liam C. Palmer, Fraser Hof, Peter M. Iovine, & Julius Rebek. (2002). New supramolecular organization for a glycoluril: chiral hydrogen-bonded ribbons. Chemical Communications. 2228–2228. 22 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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