Anne C. Conibear

1.4k total citations
40 papers, 1.1k citations indexed

About

Anne C. Conibear is a scholar working on Molecular Biology, Microbiology and Organic Chemistry. According to data from OpenAlex, Anne C. Conibear has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Microbiology and 10 papers in Organic Chemistry. Recurrent topics in Anne C. Conibear's work include Chemical Synthesis and Analysis (16 papers), Biochemical and Structural Characterization (16 papers) and Antimicrobial Peptides and Activities (12 papers). Anne C. Conibear is often cited by papers focused on Chemical Synthesis and Analysis (16 papers), Biochemical and Structural Characterization (16 papers) and Antimicrobial Peptides and Activities (12 papers). Anne C. Conibear collaborates with scholars based in Australia, Austria and United States. Anne C. Conibear's co-authors include David J. Craik, Christian F. W. Becker, Richard J. Payne, Emma E. Watson, K. Johan Rosengren, Norelle L. Daly, Sónia Troeira Henriques, Conan K. Wang, Peta J. Harvey and Stephanie Chaousis and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Journal of Biological Chemistry.

In The Last Decade

Anne C. Conibear

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne C. Conibear Australia 17 956 343 251 156 99 40 1.1k
Agnès F. Delmas France 20 783 0.8× 361 1.1× 210 0.8× 151 1.0× 110 1.1× 41 995
Jaehoon Yu South Korea 25 1.2k 1.2× 201 0.6× 173 0.7× 71 0.5× 137 1.4× 74 1.4k
Liang Yan United States 14 946 1.0× 434 1.3× 111 0.4× 205 1.3× 78 0.8× 33 1.3k
Young‐Woo Kim South Korea 17 1.1k 1.1× 508 1.5× 366 1.5× 117 0.8× 91 0.9× 32 1.3k
Yu‐Hsuan Tsai United Kingdom 19 1.1k 1.1× 474 1.4× 91 0.4× 116 0.7× 110 1.1× 64 1.4k
Jana Klose Germany 14 745 0.8× 330 1.0× 156 0.6× 69 0.4× 59 0.6× 22 940
Yun‐Kun Qi China 19 1.3k 1.3× 564 1.6× 163 0.6× 412 2.6× 122 1.2× 52 1.7k
Renliang Yang Singapore 20 1.3k 1.4× 419 1.2× 57 0.2× 258 1.7× 64 0.6× 26 1.4k
Hervé Meudal France 22 545 0.6× 318 0.9× 148 0.6× 165 1.1× 102 1.0× 43 1.1k
Jennifer J. Ottesen United States 21 1.5k 1.5× 231 0.7× 94 0.4× 143 0.9× 53 0.5× 30 1.5k

Countries citing papers authored by Anne C. Conibear

Since Specialization
Citations

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

Fields of papers citing papers by Anne C. Conibear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne C. Conibear. 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 Anne C. Conibear. The network helps show where Anne C. Conibear may publish in the future.

Co-authorship network of co-authors of Anne C. Conibear

This figure shows the co-authorship network connecting the top 25 collaborators of Anne C. Conibear. A scholar is included among the top collaborators of Anne C. Conibear 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 Anne C. Conibear. Anne C. Conibear 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
2.
Becker, Christian F. W., et al.. (2024). Site‐specifically Phosphorylated Hsp90C‐terminal Domain Variants Provide Access to Deciphering the Chaperone Code.. Chemistry - A European Journal. 31(6). e202403676–e202403676. 1 indexed citations
3.
Mateos, Borja, et al.. (2024). Semisynthesis of segmentally isotope-labeled and site-specifically palmitoylated CD44 cytoplasmic tail. Bioorganic & Medicinal Chemistry. 100. 117617–117617.
4.
Stroet, Martin, Yanni K.‐Y. Chin, Anne C. Conibear, et al.. (2023). Facilitating the structural characterisation of non-canonical amino acids in biomolecular NMR. SHILAP Revista de lepidopterología. 4(1). 57–72. 3 indexed citations
6.
Conibear, Anne C., Michelle Isaacs, Heinrich C. Hoppe, et al.. (2020). Synthesis and anti-parasitic activity of achiral N-benzylated phosphoramidic acid derivatives. Bioorganic Chemistry. 101. 103947–103947. 2 indexed citations
7.
Conibear, Anne C.. (2020). Deciphering protein post-translational modifications using chemical biology tools. Nature Reviews Chemistry. 4(12). 674–695. 166 indexed citations
8.
Bello, Claudia, Nina Hartrampf, Louise J. Walport, & Anne C. Conibear. (2019). Protein Chemistry Looking Ahead: 8th Chemical Protein Synthesis Meeting 16-19 June 2019, Berlin, Germany. Cell chemical biology. 26(10). 1349–1354. 1 indexed citations
9.
Conibear, Anne C., K. Johan Rosengren, Christian F. W. Becker, & Hanspeter Kaehlig. (2019). Random coil shifts of posttranslationally modified amino acids. Journal of Biomolecular NMR. 73(10-11). 587–599. 28 indexed citations
10.
Conibear, Anne C., et al.. (2019). Multifunctional Scaffolds for Assembling Cancer-Targeting Immune Stimulators Using Chemoselective Ligations. Frontiers in Chemistry. 7. 113–113. 4 indexed citations
11.
Conibear, Anne C., Emma E. Watson, Richard J. Payne, & Christian F. W. Becker. (2018). Native chemical ligation in protein synthesis and semi-synthesis. Chemical Society Reviews. 47(24). 9046–9068. 246 indexed citations
12.
Conibear, Anne C. & Markus Muttenthaler. (2018). Advancing the Frontiers of Chemical Protein Synthesis—The 7th CPS Meeting, Haifa, Israel. Cell chemical biology. 25(3). 247–254. 1 indexed citations
13.
Steitz, Julia, Janett Schwarz, Anne C. Conibear, et al.. (2017). Synthetic integrin-binding immune stimulators target cancer cells and prevent tumor formation. Scientific Reports. 7(1). 17592–17592. 6 indexed citations
14.
Conibear, Anne C., Sonja Hager, Josef Mayr, et al.. (2017). Multifunctional αvβ6 Integrin-Specific Peptide–Pt(IV) Conjugates for Cancer Cell Targeting. Bioconjugate Chemistry. 28(9). 2429–2439. 20 indexed citations
15.
Akcan, Muharrem, Richard J. Clark, Norelle L. Daly, et al.. (2015). Transforming conotoxins into cyclotides: Backbone cyclization of P‐superfamily conotoxins. Biopolymers. 104(6). 682–692. 11 indexed citations
16.
Conibear, Anne C., et al.. (2014). Insights into the Molecular Flexibility of θ-Defensins by NMR Relaxation Analysis. The Journal of Physical Chemistry B. 118(49). 14257–14266. 17 indexed citations
17.
Conibear, Anne C. & David J. Craik. (2014). The Chemistry and Biology of Theta Defensins. Angewandte Chemie International Edition. 53(40). 10612–10623. 71 indexed citations
18.
Conibear, Anne C., Alexander Bochen, K. Johan Rosengren, et al.. (2014). The Cyclic Cystine Ladder of Theta‐Defensins as a Stable, Bifunctional Scaffold: A Proof‐of‐Concept Study Using the Integrin‐Binding RGD Motif.. ChemBioChem. 15(3). 451–459. 47 indexed citations
19.
Conibear, Anne C., et al.. (2013). Exploring DOXP-reductoisomerase binding limits using phosphonated N-aryl and N-heteroarylcarboxamides as DXR inhibitors. Bioorganic & Medicinal Chemistry. 21(14). 4332–4341. 15 indexed citations
20.
Conibear, Anne C., Norelle L. Daly, & David J. Craik. (2012). Quantification of small cyclic disulfide‐rich peptides. Biopolymers. 98(6). 518–524. 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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