Hannah J. Maple

480 total citations
19 papers, 304 citations indexed

About

Hannah J. Maple is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Hannah J. Maple has authored 19 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Hannah J. Maple's work include Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Hannah J. Maple is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Hannah J. Maple collaborates with scholars based in United Kingdom, United States and Germany. Hannah J. Maple's co-authors include Robert Felix, Richard J. Taylor, Matthew P. Crump, Rachel A. Garlish, John Crosby, John Porter, Jeffrey C. Kennedy, Alistair J. Henry, Ian Whitcombe and Mark S. Cooper and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Biochemistry.

In The Last Decade

Hannah J. Maple

19 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah J. Maple United Kingdom 7 213 67 57 42 38 19 304
Sridhar Veeraraghavan India 11 127 0.6× 22 0.3× 40 0.7× 52 1.2× 14 0.4× 27 345
Ryan K. Muir United States 8 125 0.6× 14 0.2× 29 0.5× 25 0.6× 42 1.1× 10 237
Alhumaidi B. Alabbas Saudi Arabia 10 152 0.7× 14 0.2× 22 0.4× 25 0.6× 73 1.9× 33 319
Victoria G. Klein United States 6 321 1.5× 25 0.4× 114 2.0× 46 1.1× 47 1.2× 7 395
Chris J. Radoux United Kingdom 8 320 1.5× 11 0.2× 83 1.5× 39 0.9× 132 3.5× 9 426
Matthew R. Naylor United States 8 386 1.8× 31 0.5× 57 1.0× 9 0.2× 89 2.3× 9 476
Cliff C. Cheng United States 10 204 1.0× 23 0.3× 27 0.5× 8 0.2× 49 1.3× 13 304
Freya Klepsch Austria 8 151 0.7× 14 0.2× 166 2.9× 19 0.5× 73 1.9× 9 269
Melanie Leveridge United Kingdom 9 271 1.3× 179 2.7× 18 0.3× 16 0.4× 30 0.8× 11 401
Ewa I. Chudyk United Kingdom 12 242 1.1× 38 0.6× 40 0.7× 5 0.1× 117 3.1× 13 405

Countries citing papers authored by Hannah J. Maple

Since Specialization
Citations

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

Fields of papers citing papers by Hannah J. Maple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah J. Maple. 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 Hannah J. Maple. The network helps show where Hannah J. Maple may publish in the future.

Co-authorship network of co-authors of Hannah J. Maple

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

All Works

19 of 19 papers shown
1.
Kocatürk, Nur Mehpare, Jennifer Riley, Hannah J. Maple, et al.. (2025). Discovery of a CNS active GSK3 degrader using orthogonally reactive linker screening. Nature Communications. 16(1). 8857–8857. 1 indexed citations
2.
Cooper, Mark S., Sean Goggins, Steven Reynolds, et al.. (2025). Development of p300-targeting degraders with enhanced selectivity and onset of degradation. RSC Medicinal Chemistry. 16(5). 2049–2060. 1 indexed citations
3.
Kumar, A. Ravi, Hannah J. Maple, Mark S. Cooper, et al.. (2025). Structure-Based Optimization of Pyridone α-Ketoamides as Inhibitors of the SARS-CoV-2 Main Protease. Journal of Medicinal Chemistry. 68(3). 2920–2941. 1 indexed citations
4.
Cooper, Mark S., et al.. (2023). Efficient, multi-hundred-gram scale access to E3 ubiquitin ligase ligands for degrader development. Organic & Biomolecular Chemistry. 21(41). 8344–8352. 2 indexed citations
5.
Tizzard, Graham J., et al.. (2022). Scale-up and optimization of the synthesis of dual CBP/BRD4 inhibitor ISOX-DUAL. Organic & Biomolecular Chemistry. 20(19). 4021–4029. 2 indexed citations
6.
Maple, Hannah J., et al.. (2022). Developing, Choosing, and Using the Chemical Toolbox for Infectious Diseases Research. ACS Infectious Diseases. 9(1). 2–4. 1 indexed citations
7.
Cooper, Mark S., Linlin Zhang, Mohamed Ibrahim, et al.. (2022). Diastereomeric Resolution Yields Highly Potent Inhibitor of SARS-CoV-2 Main Protease. Journal of Medicinal Chemistry. 65(19). 13328–13342. 26 indexed citations
8.
Picaud, S., Régis Millet, Gilles Gasser, et al.. (2021). Probing BRD Inhibition Substituent Effects in Bulky Analogues of (+)‐JQ1. Helvetica Chimica Acta. 104(3). 1 indexed citations
9.
Bosnakovski, Darko, Elizabeth T. Ener, Mark S. Cooper, et al.. (2021). Inactivation of the CIC-DUX4 oncogene through P300/CBP inhibition, a therapeutic approach for CIC-DUX4 sarcoma. Oncogenesis. 10(10). 68–68. 21 indexed citations
10.
Felix, Robert, Andrew J. Burton, Hannah J. Maple, et al.. (2021). α4/α9 Integrins Coordinate Epithelial Cell Migration Through Local Suppression of MAP Kinase Signaling Pathways. Frontiers in Cell and Developmental Biology. 9. 750771–750771. 5 indexed citations
11.
Maple, Hannah J., et al.. (2021). Reviewing the toolbox for degrader development in oncology. Current Opinion in Pharmacology. 59. 43–51. 3 indexed citations
12.
Williams, Christopher, Hannah J. Maple, Siriwat Soontaranon, et al.. (2021). Solution Structure and Conformational Dynamics of a Doublet Acyl Carrier Protein from Prodigiosin Biosynthesis. Biochemistry. 60(3). 219–230. 5 indexed citations
13.
Maple, Hannah J., et al.. (2019). Developing degraders: principles and perspectives on design and chemical space. MedChemComm. 10(10). 1755–1764. 108 indexed citations
14.
Ferreira, Diana L. Santos, Hannah J. Maple, Judith S. Brand, et al.. (2019). The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies. Metabolites. 9(4). 64–64. 16 indexed citations
15.
Conway, Louis P., et al.. (2014). The aqueous N-phosphorylation and N-thiophosphorylation of aminonucleosides. RSC Advances. 4(73). 38663–38663. 6 indexed citations
16.
Maple, Hannah J., Olaf Scheibner, Mark Baumert, et al.. (2014). Application of the Exactive Plus EMR for automated protein–ligand screening by non‐covalent mass spectrometry. Rapid Communications in Mass Spectrometry. 28(13). 1561–1568. 22 indexed citations
17.
Maple, Hannah J., Rachel A. Garlish, Ian Whitcombe, et al.. (2013). Identification of Differential Protein Binding Affinities in an Atropisomeric Pharmaceutical Compound by Noncovalent Mass Spectrometry, Equilibrium Dialysis, and Nuclear Magnetic Resonance. Analytical Chemistry. 85(12). 5958–5964. 4 indexed citations
18.
Maple, Hannah J., Rachel A. Garlish, John Porter, et al.. (2011). Automated Protein–Ligand Interaction Screening by Mass Spectrometry. Journal of Medicinal Chemistry. 55(2). 837–851. 62 indexed citations
19.
Arthur, Christopher J., Christopher Williams, Hannah J. Maple, et al.. (2011). Analysis of Streptomyces coelicolor Phosphopantetheinyl Transferase, AcpS, Reveals the Basis for Relaxed Substrate Specificity. Biochemistry. 50(25). 5704–5717. 17 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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