Elizabeth Yuriev

3.6k total citations · 1 hit paper
91 papers, 2.7k citations indexed

About

Elizabeth Yuriev is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Elizabeth Yuriev has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 25 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Organic Chemistry. Recurrent topics in Elizabeth Yuriev's work include Monoclonal and Polyclonal Antibodies Research (25 papers), Glycosylation and Glycoproteins Research (21 papers) and Computational Drug Discovery Methods (16 papers). Elizabeth Yuriev is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (25 papers), Glycosylation and Glycoproteins Research (21 papers) and Computational Drug Discovery Methods (16 papers). Elizabeth Yuriev collaborates with scholars based in Australia, United States and China. Elizabeth Yuriev's co-authors include Paul A. Ramsland, David K. Chalmers, Mark Agostino, Jessica K. Holien, David T. Manallack, Ben Capuano, Richard J. Prankerd, Tudor I. Oprea, Billy J. Williams‐Noonan and Paul J. White and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Nucleic Acids Research.

In The Last Decade

Elizabeth Yuriev

89 papers receiving 2.6k citations

Hit Papers

Metacognition and Critical Thinking: Using ChatGPT-Genera... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Yuriev Australia 27 1.5k 662 496 377 305 91 2.7k
David C. Thompson United States 32 1.8k 1.2× 500 0.8× 345 0.7× 86 0.2× 51 0.2× 103 3.7k
Dean G. Brown United States 24 1.8k 1.2× 520 0.8× 2.0k 4.0× 95 0.3× 97 0.3× 54 4.6k
Patrick Camilleri United Kingdom 35 2.3k 1.6× 267 0.4× 1.2k 2.4× 132 0.4× 114 0.4× 211 5.3k
Cristina Valls Spain 22 785 0.5× 651 1.0× 123 0.2× 173 0.5× 84 0.3× 77 2.2k
Maikel Wijtmans Netherlands 29 1.3k 0.8× 155 0.2× 563 1.1× 174 0.5× 32 0.1× 81 2.4k
Ian S. Haworth United States 32 2.3k 1.5× 104 0.2× 288 0.6× 122 0.3× 128 0.4× 119 3.9k
Christine Zardecki United States 18 3.2k 2.2× 897 1.4× 414 0.8× 184 0.5× 14 0.0× 45 4.5k
Mark A. Sherman United States 39 1.8k 1.2× 95 0.1× 128 0.3× 611 1.6× 34 0.1× 103 4.1k
T.A. Binkowski United States 17 1.4k 0.9× 413 0.6× 134 0.3× 85 0.2× 14 0.0× 25 2.2k
Anna Maria D’Ursi Italy 27 1.8k 1.2× 295 0.4× 472 1.0× 178 0.5× 8 0.0× 130 3.1k

Countries citing papers authored by Elizabeth Yuriev

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Yuriev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Yuriev

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Yuriev. A scholar is included among the top collaborators of Elizabeth Yuriev 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 Elizabeth Yuriev. Elizabeth Yuriev 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.
Exintaris, Betty, et al.. (2025). The impact of generative AI on health professional education: A systematic review in the context of student learning. Medical Education. 59(12). 1280–1289. 7 indexed citations
2.
Sarkar, Mahbub, et al.. (2025). Exploring Problem-Solving Scaffolds in General Chemistry: A Systematic Review of Scaffolding Goals and Instructional Approaches. Journal of Chemical Education. 102(3). 1004–1018. 7 indexed citations
3.
Sarkar, Mahbub, et al.. (2024). Development of problem-solving skills supported by metacognitive scaffolding: insights from students’ written work. Chemistry Education Research and Practice. 25(4). 1197–1209. 5 indexed citations
4.
Sarkar, Mahbub, et al.. (2024). Metacognitive problem solving: exploration of students’ perspectives through the lens of multi-dimensional engagement. Chemistry Education Research and Practice. 26(1). 141–157. 3 indexed citations
5.
Williams‐Noonan, Billy J., Tu C. Le, Philip E. Thompson, et al.. (2022). Membrane Permeating Macrocycles: Design Guidelines from Machine Learning. Journal of Chemical Information and Modeling. 62(19). 4605–4619. 14 indexed citations
6.
Yuriev, Elizabeth, et al.. (2020). Markov State Model Analysis of Haloperidol Binding to the D3 Dopamine Receptor. Journal of Chemical Theory and Computation. 16(6). 3879–3888. 3 indexed citations
7.
Williams‐Noonan, Billy J., Elizabeth Yuriev, & David K. Chalmers. (2017). Free Energy Methods in Drug Design: Prospects of “Alchemical Perturbation” in Medicinal Chemistry. Journal of Medicinal Chemistry. 61(3). 638–649. 132 indexed citations
8.
Dingjan, Tamir, Anne Imberty, Serge Pérez, Elizabeth Yuriev, & Paul A. Ramsland. (2017). Molecular Simulations of Carbohydrates with a Fucose-Binding Burkholderia ambifaria Lectin Suggest Modulation by Surface Residues Outside the Fucose-Binding Pocket. Frontiers in Pharmacology. 8. 393–393. 7 indexed citations
9.
White, Paul J., Ian Larson, Elizabeth Yuriev, et al.. (2015). Using active learning strategies to shift student attitudes and behaviours about learning and teaching in a research intensive educational context. Pharmacy Education. 15(1). 116–126. 18 indexed citations
10.
Dingjan, Tamir, Mark Agostino, Paul A. Ramsland, & Elizabeth Yuriev. (2015). Antibody-Carbohydrate Recognition from Docked Ensembles Using the AutoMap Procedure. Methods in molecular biology. 1331. 41–55. 2 indexed citations
11.
Buckle, Michael J. C., et al.. (2014). Toward activated homology models of the human M1 muscarinic acetylcholine receptor. Journal of Molecular Graphics and Modelling. 49. 91–98. 9 indexed citations
12.
Agostino, Mark, Tony Velkov, Tamir Dingjan, et al.. (2014). The carbohydrate-binding promiscuity of Euonymus europaeus lectin is predicted to involve a single binding site. Glycobiology. 25(1). 101–114. 14 indexed citations
13.
McRobb, Fiona M., et al.. (2013). Homology Modeling of Human Muscarinic Acetylcholine Receptors. Journal of Chemical Information and Modeling. 54(1). 243–253. 19 indexed citations
14.
Agostino, Mark, Mauro S. Sandrin, Philip E. Thompson, Paul A. Ramsland, & Elizabeth Yuriev. (2010). Peptide inhibitors of xenoreactive antibodies mimic the interaction profile of the native carbohydrate antigens. Biopolymers. 96(2). 193–206. 11 indexed citations
15.
Capuano, Ben, et al.. (2010). The Synthesis and Preliminary Pharmacological Evaluation of a Series of Substituted 4'-Phenoxypropyl Analogues of the Atypical Antipsychotic Clozapine. Australian Journal of Chemistry. 63(1). 116–116. 2 indexed citations
16.
Agostino, Mark, Mauro S. Sandrin, Philip E. Thompson, Elizabeth Yuriev, & Paul A. Ramsland. (2010). Identification of preferred carbohydrate binding modes in xenoreactive antibodies by combining conformational filters and binding site maps. Glycobiology. 20(6). 724–735. 21 indexed citations
17.
Yuriev, Elizabeth, Mark Agostino, & Paul A. Ramsland. (2010). Challenges and advances in computational docking: 2009 in review. Journal of Molecular Recognition. 24(2). 149–164. 235 indexed citations
19.
Edmundson, Allen B., et al.. (2001). Binding of synthetic peptides by a human monoclonal IgM with an unusual combining site structure. Journal of Molecular Recognition. 14(4). 229–238. 10 indexed citations
20.
Yuriev, Elizabeth, Daniel C. Scott, & Michelle M. Hanna. (1999). Effects of 5-[S-(2,4-dinitrophenyl)-thio]-2′-deoxyuridine analog incorporation on the structure and stability of DNA hybrids: implications for the design of nucleic acid probes. Journal of Molecular Recognition. 12(6). 337–345. 2 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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