Manjuan Liu

406 total citations
8 papers, 148 citations indexed

About

Manjuan Liu is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Manjuan Liu has authored 8 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Genetics. Recurrent topics in Manjuan Liu's work include Protein Structure and Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Heat shock proteins research (2 papers). Manjuan Liu is often cited by papers focused on Protein Structure and Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Heat shock proteins research (2 papers). Manjuan Liu collaborates with scholars based in United Kingdom, Brazil and United States. Manjuan Liu's co-authors include Florence I. Raynaud, Ian Collins, Angela Hayes, Swen Hoelder, A. Chaikuad, Martin Philpott, Catherine Rogers, Lewis R. Vidler, Octovia Monteiro and Wasim Akhtar and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

Manjuan Liu

8 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manjuan Liu United Kingdom 6 120 37 25 18 18 8 148
Annika Jenmalm Jensen Sweden 8 90 0.8× 15 0.4× 28 1.1× 41 2.3× 13 0.7× 13 144
Moses Moustakim United Kingdom 6 109 0.9× 22 0.6× 26 1.0× 19 1.1× 9 0.5× 7 137
Guanjing Chen United States 4 123 1.0× 18 0.5× 34 1.4× 63 3.5× 46 2.6× 4 182
Anup Aggarwal United States 6 130 1.1× 16 0.4× 28 1.1× 23 1.3× 4 0.2× 9 160
Yann‐Vaï Le Bihan United Kingdom 10 244 2.0× 13 0.4× 22 0.9× 44 2.4× 20 1.1× 17 281
Terry D. Crawford United States 7 256 2.1× 73 2.0× 61 2.4× 37 2.1× 27 1.5× 8 325
Jen-Shin Song Taiwan 10 111 0.9× 64 1.7× 24 1.0× 86 4.8× 19 1.1× 14 254
Steven Ferrara United States 6 169 1.4× 24 0.6× 12 0.5× 54 3.0× 9 0.5× 9 236
Ka Hing United Kingdom 8 368 3.1× 37 1.0× 33 1.3× 17 0.9× 26 1.4× 8 474
Anne Cheasty United Kingdom 6 86 0.7× 21 0.6× 25 1.0× 27 1.5× 7 0.4× 8 131

Countries citing papers authored by Manjuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Manjuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjuan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Manjuan Liu. A scholar is included among the top collaborators of Manjuan Liu 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 Manjuan Liu. Manjuan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Liu, Manjuan, Amin Mirza, Craig McAndrew, et al.. (2023). Determination of Ligand-Binding Affinity (Kd) Using Transverse Relaxation Rate (R2) in the Ligand-Observed 1H NMR Experiment and Applications to Fragment-Based Drug Discovery. Journal of Medicinal Chemistry. 66(15). 10617–10627. 11 indexed citations
2.
Bihan, Yann‐Vaï Le, Isaac M. Westwood, Manjuan Liu, et al.. (2022). Discovery and Characterization of a Cryptic Secondary Binding Site in the Molecular Chaperone HSP70. Molecules. 27(3). 817–817. 5 indexed citations
3.
Hayes, Angela, Manjuan Liu, Butrus Atrash, et al.. (2019). Metabolism of the dual FLT-3/Aurora kinase inhibitor CCT241736 in preclinical and human in vitro models: Implication for the choice of toxicology species. European Journal of Pharmaceutical Sciences. 139. 104899–104899. 4 indexed citations
4.
Liu, Manjuan, et al.. (2019). Fragment-based screening identifies molecules targeting the substrate-binding ankyrin repeat domains of tankyrase. Scientific Reports. 9(1). 19130–19130. 19 indexed citations
5.
Hayes, Angela, N. Yi Mok, Manjuan Liu, et al.. (2016). Pyrido[3,4-d]pyrimidin-4(3H)-one metabolism mediated by aldehyde oxidase is blocked by C2-substitution. Xenobiotica. 47(9). 771–777. 4 indexed citations
6.
Jones, Alan M., Isaac M. Westwood, James Osborne, et al.. (2016). A fragment-based approach applied to a highly flexible target: Insights and challenges towards the inhibition of HSP70 isoforms. Scientific Reports. 6(1). 34701–34701. 25 indexed citations
7.
Caldwell, John, Manjuan Liu, Nathan Brown, et al.. (2016). Synthesis and Evaluation of a 2,11‐Cembranoid‐Inspired Library. Chemistry - A European Journal. 22(16). 5657–5664. 9 indexed citations
8.
Vidler, Lewis R., A. Chaikuad, Octovia Monteiro, et al.. (2015). Structure Enabled Design of BAZ2-ICR, A Chemical Probe Targeting the Bromodomains of BAZ2A and BAZ2B. Journal of Medicinal Chemistry. 58(5). 2553–2559. 71 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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