Jane R. Allison

2.3k total citations
60 papers, 1.7k citations indexed

About

Jane R. Allison is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jane R. Allison has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 22 papers in Materials Chemistry and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jane R. Allison's work include Protein Structure and Dynamics (32 papers), Enzyme Structure and Function (17 papers) and RNA and protein synthesis mechanisms (12 papers). Jane R. Allison is often cited by papers focused on Protein Structure and Dynamics (32 papers), Enzyme Structure and Function (17 papers) and RNA and protein synthesis mechanisms (12 papers). Jane R. Allison collaborates with scholars based in New Zealand, Switzerland and United Kingdom. Jane R. Allison's co-authors include Wilfred F. van Gunsteren, Sereina Riniker, Thomas J. Piggot, Michele Vendruscolo, Christopher M. Dobson, Péter Várnai, Nathan Schmid, Jožica Dolenc, Andreas P. Eichenberger and Richard B. Sessions and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jane R. Allison

59 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane R. Allison New Zealand 21 1.1k 495 227 226 125 60 1.7k
Atsuo Tamura Japan 22 1.3k 1.1× 437 0.9× 184 0.8× 210 0.9× 120 1.0× 65 1.8k
Jörg Rösgen United States 23 1.5k 1.3× 713 1.4× 377 1.7× 201 0.9× 115 0.9× 39 2.1k
Andreas Vitalis Switzerland 22 2.1k 1.8× 759 1.5× 160 0.7× 263 1.2× 86 0.7× 46 2.4k
Elisha Haas Israel 28 1.9k 1.6× 757 1.5× 337 1.5× 232 1.0× 146 1.2× 70 2.4k
Tohru Terada Japan 29 1.9k 1.6× 459 0.9× 148 0.7× 248 1.1× 111 0.9× 134 2.6k
Yuji O. Kamatari Japan 24 1.4k 1.2× 374 0.8× 101 0.4× 168 0.7× 66 0.5× 85 1.7k
Mohona Sarkar United States 9 1.2k 1.1× 510 1.0× 110 0.5× 133 0.6× 48 0.4× 10 1.5k
Kaare Teilum Denmark 30 2.3k 2.0× 858 1.7× 117 0.5× 492 2.2× 91 0.7× 73 3.1k
Arturo Muga Spain 34 3.1k 2.7× 634 1.3× 266 1.2× 200 0.9× 134 1.1× 107 3.9k
Jeffrey K. Myers United States 19 2.7k 2.4× 1.2k 2.5× 281 1.2× 340 1.5× 91 0.7× 25 3.3k

Countries citing papers authored by Jane R. Allison

Since Specialization
Citations

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

Fields of papers citing papers by Jane R. Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane R. Allison. 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 Jane R. Allison. The network helps show where Jane R. Allison may publish in the future.

Co-authorship network of co-authors of Jane R. Allison

This figure shows the co-authorship network connecting the top 25 collaborators of Jane R. Allison. A scholar is included among the top collaborators of Jane R. Allison 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 Jane R. Allison. Jane R. Allison 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.
Ooi, Justin S. G., Corrine Wan, Peter I. Benke, et al.. (2025). Glycans on non-structural protein 1 prevent premature T-cell mediated dengue virus clearance. EMBO Molecular Medicine. 17(11). 2995–3020.
2.
Currie, Michael, Mariafrancesca Scalise, J. D. Wright, et al.. (2024). Structural and biophysical analysis of a Haemophilus influenzae tripartite ATP-independent periplasmic (TRAP) transporter. eLife. 12. 3 indexed citations
3.
Currie, Michael, Santosh Panjikar, Rosmarie Friemann, et al.. (2024). On the function of TRAP substrate-binding proteins: Conformational variation of the sialic acid binding protein SiaP. Journal of Biological Chemistry. 300(11). 107851–107851. 2 indexed citations
4.
Sander, Veronika, Alan J. Davidson, Daniel Pletzer, et al.. (2024). Allenamides as a Powerful Tool to Incorporate Diversity: Thia‐Michael Lipidation of Semisynthetic Peptides and Access to β‐Keto Amides. Angewandte Chemie International Edition. 63(39). e202407764–e202407764. 3 indexed citations
5.
Currie, Michael, Mariafrancesca Scalise, J. D. Wright, et al.. (2023). Structural and biophysical analysis of a Haemophilus influenzae tripartite ATP-independent periplasmic (TRAP) transporter. eLife. 12. 4 indexed citations
6.
Currie, Michael, Rachel A. North, Mariafrancesca Scalise, et al.. (2023). Structure and mechanism of a tripartite ATP-independent periplasmic TRAP transporter. Nature Communications. 14(1). 1120–1120. 18 indexed citations
7.
Verma, Chandra, et al.. (2023). Structome: a tool for the rapid assembly of datasets for structural phylogenetics. Bioinformatics Advances. 3(1). vbad134–vbad134. 1 indexed citations
8.
Sharma, Prachi, Bart Janssen, Revel Drummond, et al.. (2020). Flexibility of the petunia strigolactone receptor DAD2 promotes its interaction with signaling partners. Journal of Biological Chemistry. 295(13). 4181–4193. 16 indexed citations
9.
Kaur, Harveen, Kevin Chang, Anna E. S. Brooks, et al.. (2019). Site-specific glycation of Aβ1–42 affects fibril formation and is neurotoxic. Journal of Biological Chemistry. 294(22). 8806–8818. 20 indexed citations
10.
Allison, Jane R., et al.. (2019). Automated simultaneous assignment of bond orders and formal charges. Journal of Cheminformatics. 11(1). 18–18. 7 indexed citations
11.
Huber, Roland G., Timothy S. Carpenter, Daniel A. Holdbrook, et al.. (2019). Multiscale Modeling and Simulation Approaches to Lipid–Protein Interactions. Methods in molecular biology. 2003. 1–30. 5 indexed citations
12.
Allison, Jane R., et al.. (2019). CherryPicker: An Algorithm for the Automated Parametrization of Large Biomolecules for Molecular Simulation. Frontiers in Chemistry. 7. 400–400. 7 indexed citations
13.
Allison, Jane R.. (2016). Using simulation to interpret experimental data in terms of protein conformational ensembles. Current Opinion in Structural Biology. 43. 79–87. 35 indexed citations
14.
Sugawara, Takeshi, William Schierding, Kenta Masuda, et al.. (2016). A diffusion model for the coordination of DNA replication in Schizosaccharomyces pombe. Scientific Reports. 6(1). 18757–18757. 11 indexed citations
15.
Wirz, Lukas N. & Jane R. Allison. (2015). Fitting alignment tensor components to experimental RDCs, CSAs and RQCs. Journal of Biomolecular NMR. 62(1). 25–29. 7 indexed citations
16.
Müller, Manuel M., Jane R. Allison, Laurent Gaillon, et al.. (2013). Directed Evolution of a Model Primordial Enzyme Provides Insights into the Development of the Genetic Code. PLoS Genetics. 9(1). e1003187–e1003187. 24 indexed citations
17.
Steiner, Denise, Jane R. Allison, Andreas P. Eichenberger, & Wilfred F. van Gunsteren. (2012). On the calculation of 3 J αβ-coupling constants for side chains in proteins. Journal of Biomolecular NMR. 53(3). 223–246. 23 indexed citations
18.
Smith, Lorna J., Wilfred F. van Gunsteren, & Jane R. Allison. (2012). Multiple binding modes for palmitate to barley lipid transfer protein facilitated by the presence of proline 12. Protein Science. 22(1). 56–64. 9 indexed citations
19.
Allison, Jane R.. (2012). Assessing and refining molecular dynamics simulations of proteins with nuclear magnetic resonance data. Biophysical Reviews. 4(3). 189–203. 9 indexed citations
20.
Schmid, Nathan, Jane R. Allison, Jožica Dolenc, et al.. (2011). Biomolecular structure refinement using the GROMOS simulation software. Journal of Biomolecular NMR. 51(3). 265–281. 45 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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