Anna K. Croft

2.2k total citations
63 papers, 1.8k citations indexed

About

Anna K. Croft is a scholar working on Organic Chemistry, Catalysis and Molecular Biology. According to data from OpenAlex, Anna K. Croft has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 15 papers in Catalysis and 13 papers in Molecular Biology. Recurrent topics in Anna K. Croft's work include Ionic liquids properties and applications (14 papers), Electrochemical Analysis and Applications (12 papers) and Metalloenzymes and iron-sulfur proteins (9 papers). Anna K. Croft is often cited by papers focused on Ionic liquids properties and applications (14 papers), Electrochemical Analysis and Applications (12 papers) and Metalloenzymes and iron-sulfur proteins (9 papers). Anna K. Croft collaborates with scholars based in United Kingdom, Australia and United States. Anna K. Croft's co-authors include Jason B. Harper, Hon Man Yau, Michelle Tierney, Leo Radom, María Hayes, Anna Soler‐Vila, Daniel Dowling, Catherine L. Drennan, James M. Hook and Thomas J. Smyth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Anna K. Croft

60 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna K. Croft United Kingdom 24 538 494 481 326 278 63 1.8k
Emília Tojo Spain 27 1.8k 3.3× 228 0.5× 685 1.4× 71 0.2× 146 0.5× 71 2.7k
Iqbal Gill United Kingdom 22 92 0.2× 1.4k 2.7× 397 0.8× 172 0.5× 58 0.2× 36 2.7k
Sun Bok Lee South Korea 29 248 0.5× 1.4k 2.9× 144 0.3× 357 1.1× 104 0.4× 84 2.3k
Jean‐Paul Guégan France 21 157 0.3× 395 0.8× 446 0.9× 46 0.1× 118 0.4× 40 1.4k
Mounir Traı̈kia France 22 265 0.5× 507 1.0× 335 0.7× 31 0.1× 32 0.1× 65 1.5k
Eun‐Hee Kim South Korea 29 162 0.3× 1.0k 2.1× 571 1.2× 324 1.0× 47 0.2× 93 2.5k
Pierre Gareil France 32 181 0.3× 584 1.2× 182 0.4× 31 0.1× 107 0.4× 114 3.1k
Bernard Fenêt France 25 322 0.6× 531 1.1× 992 2.1× 50 0.2× 12 0.0× 102 2.2k
Xiaoyang Wang China 25 164 0.3× 441 0.9× 252 0.5× 182 0.6× 12 0.0× 82 2.3k
Elena G. Kovaleva Russia 27 87 0.2× 1.2k 2.5× 381 0.8× 346 1.1× 35 0.1× 97 3.3k

Countries citing papers authored by Anna K. Croft

Since Specialization
Citations

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

Fields of papers citing papers by Anna K. Croft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna K. Croft. 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 Anna K. Croft. The network helps show where Anna K. Croft may publish in the future.

Co-authorship network of co-authors of Anna K. Croft

This figure shows the co-authorship network connecting the top 25 collaborators of Anna K. Croft. A scholar is included among the top collaborators of Anna K. Croft 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 Anna K. Croft. Anna K. Croft 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
3.
Wildman, Ricky D., Derek J. Irvine, Anna K. Croft, et al.. (2024). Optimisation of additively manufactured coiled flow inverters for continuous viral inactivation processes. Process Safety and Environmental Protection. 213. 126–136.
4.
Zhang, Yuhan, et al.. (2023). Alkali and alkaline earth metals in liquid salts for supercapatteries. RSC Sustainability. 2(1). 101–124. 5 indexed citations
5.
Harris, Gemma, Jos J. A. G. Kamps, Justin L. P. Benesch, et al.. (2023). The adaptability of the ion-binding site by the Ag(I)/Cu(I) periplasmic chaperone SilF. Journal of Biological Chemistry. 299(11). 105331–105331. 4 indexed citations
6.
Shanmugam, Muralidharan, David Collison, Alexander J. Kibler, et al.. (2023). Application of a Synthetic Ferredoxin‐Inspired [4Fe4S]‐Peptide Maquette as the Redox Partner for an [FeFe]‐Hydrogenase. ChemBioChem. 24(18). e202300250–e202300250. 5 indexed citations
7.
Croft, Anna K., et al.. (2022). Activation of Glycyl Radical Enzymes─Multiscale Modeling Insights into Catalysis and Radical Control in a Pyruvate Formate-Lyase-Activating Enzyme. Journal of Chemical Information and Modeling. 62(14). 3401–3414. 8 indexed citations
8.
Hirst, Jonathan D., et al.. (2022). Effect of Oriented Electric Fields on Biologically Relevant Iron–Sulfur Clusters: Tuning Redox Reactivity for Catalysis. Journal of Chemical Information and Modeling. 62(3). 591–601. 11 indexed citations
9.
Jäger, Christof M. & Anna K. Croft. (2022). If It Is Hard, It Is Worth Doing: Engineering Radical Enzymes from Anaerobes. Biochemistry. 62(2). 241–252. 4 indexed citations
10.
Chen, George Z., et al.. (2022). Perspective—Redox Ionic Liquid Electrolytes for Supercapattery. Journal of The Electrochemical Society. 169(3). 30529–30529. 10 indexed citations
11.
Prescott, Stuart W., et al.. (2020). Controlling the outcome of SN2 reactions in ionic liquids: from rational data set design to predictive linear regression models. Physical Chemistry Chemical Physics. 22(40). 23009–23018. 15 indexed citations
12.
Parra-Cruz, Ricardo, et al.. (2019). Revealing solvent-dependent folding behavior of mycolic acids from Mycobacterium tuberculosis by advanced simulation analysis. Journal of Molecular Modeling. 25(3). 68–68. 5 indexed citations
13.
Suess, C., et al.. (2019). Radical Stabilization Energies for Enzyme Engineering: Tackling the Substrate Scope of the Radical Enzyme QueE. Journal of Chemical Information and Modeling. 59(12). 5111–5125. 8 indexed citations
14.
Bame, Jessica R., et al.. (2018). Improved NOE fitting for flexible molecules based on molecular mechanics data – a case study with S-adenosylmethionine. Physical Chemistry Chemical Physics. 20(11). 7523–7531. 25 indexed citations
15.
Keaveney, Sinead T., Jason B. Harper, & Anna K. Croft. (2018). Ion‐Reagent Interactions Contributing to Ionic Liquid Solvent Effects on a Condensation Reaction. ChemPhysChem. 19(23). 3279–3287. 8 indexed citations
16.
He, Yinfeng, et al.. (2016). Three dimensional ink-jet printing of biomaterials using ionic liquids and co-solvents. Faraday Discussions. 190. 509–523. 58 indexed citations
17.
Jäger, Christof M. & Anna K. Croft. (2016). Radical Reaction Control in the AdoMet Radical Enzyme CDG Synthase (QueE): Consolidate, Destabilize, Accelerate. Chemistry - A European Journal. 23(4). 953–962. 12 indexed citations
18.
Ejigu, Andinet, et al.. (2016). Developing energy efficient lignin biomass processing – towards understanding mediator behaviour in ionic liquids. Faraday Discussions. 190. 127–145. 12 indexed citations
19.
Tierney, Michelle, Anna Soler‐Vila, Anna K. Croft, & María Hayes. (2013). Antioxidant Activity of the Brown Macroalgae <em>Fucus spiralis</em> Linnaeus Harvested from the West Coast of Ireland. 5(3). 81–90. 13 indexed citations
20.
Baird, Mark S., et al.. (2013). Differential spontaneous folding of mycolic acids from Mycobacterium tuberculosis. Chemistry and Physics of Lipids. 180. 15–22. 24 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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