Hannah S. Leese

1.8k total citations · 1 hit paper
54 papers, 1.4k citations indexed

About

Hannah S. Leese is a scholar working on Biomedical Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Hannah S. Leese has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 14 papers in Materials Chemistry and 10 papers in Polymers and Plastics. Recurrent topics in Hannah S. Leese's work include Graphene and Nanomaterials Applications (6 papers), Graphene research and applications (6 papers) and Conducting polymers and applications (6 papers). Hannah S. Leese is often cited by papers focused on Graphene and Nanomaterials Applications (6 papers), Graphene research and applications (6 papers) and Conducting polymers and applications (6 papers). Hannah S. Leese collaborates with scholars based in United Kingdom, United States and Greece. Hannah S. Leese's co-authors include Pedro Estrela, Davide Mattia, Kah Peng Lee, Christopher J. Chuck, Antonios Keirouz, Milo S. P. Shaffer, Adam J. Clancy, Sofia Raikova, Ute Jungwirth and Noelia Rubio and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Journal of Power Sources.

In The Last Decade

Hannah S. Leese

48 papers receiving 1.4k citations

Hit Papers

Hydrogel‐Forming Micronee... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah S. Leese United Kingdom 21 535 386 297 172 162 54 1.4k
Jintao Fu China 26 562 1.1× 263 0.7× 668 2.2× 486 2.8× 95 0.6× 103 1.9k
Sudip K. Pattanayek India 19 311 0.6× 161 0.4× 242 0.8× 91 0.5× 75 0.5× 68 1.1k
Sriramakamal Jonnalagadda United States 17 314 0.6× 367 1.0× 410 1.4× 49 0.3× 93 0.6× 37 1.3k
Alex Cavallaro Australia 26 626 1.2× 248 0.6× 395 1.3× 134 0.8× 38 0.2× 53 1.7k
Yingying Zhou China 22 355 0.7× 127 0.3× 451 1.5× 390 2.3× 63 0.4× 69 1.9k
Mengyue Gao China 14 249 0.5× 133 0.3× 166 0.6× 100 0.6× 54 0.3× 36 830
Zhenyu J. Zhang United Kingdom 25 420 0.8× 112 0.3× 175 0.6× 104 0.6× 17 0.1× 83 1.7k
Siddharth Gupta United States 25 353 0.7× 138 0.4× 991 3.3× 246 1.4× 23 0.1× 74 1.7k
Anoop S. Nair India 16 855 1.6× 134 0.3× 543 1.8× 175 1.0× 14 0.1× 31 1.6k
Zheng Su China 28 854 1.6× 88 0.2× 1.0k 3.4× 126 0.7× 17 0.1× 83 2.2k

Countries citing papers authored by Hannah S. Leese

Since Specialization
Citations

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

Fields of papers citing papers by Hannah S. Leese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah S. Leese

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah S. Leese. A scholar is included among the top collaborators of Hannah S. Leese 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 S. Leese. Hannah S. Leese 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.
Leese, Hannah S., et al.. (2026). Recent Trends in the Chemical Modification of Polysaccharides for Food Packaging: A Review. Polymers. 18(4). 529–529.
2.
Leese, Hannah S., et al.. (2026). Tailoring hydrophobic alginate amino acid derivatives for food packaging films and coatings. Materials Today Communications. 51. 114745–114745.
3.
Castro‐Dominguez, Bernardo, et al.. (2025). Electrospinning Technology, Machine Learning, and Control Approaches: A Review. Advanced Engineering Materials. 27(7). 16 indexed citations
4.
Metcalfe, Benjamin, et al.. (2025). One-step polyaniline-platinum nanoparticles grafting on porous gold anode electrodes for high-performance glucose fuel cells. Journal of Power Sources. 654. 237815–237815.
5.
6.
Laabei, Maisem, et al.. (2025). Multi-Template Molecularly Imprinted Polymeric Electrochemical Biosensors. Chemosensors. 13(1). 11–11. 8 indexed citations
7.
Leese, Hannah S., et al.. (2025). Integrated Chemical and Biochemical Treatments to Produce Protein and Microbial Lipid Food Ingredients from Ryegrass. ACS Sustainable Chemistry & Engineering. 13(25). 9588–9598.
8.
Laabei, Maisem, et al.. (2025). Aptamer-molecularly imprinted polymer sensors for the detection of bacteria in water. Biosensors and Bioelectronics. 272. 117136–117136. 17 indexed citations
9.
Leese, Hannah S., et al.. (2024). Recycling and 3D-Printing Biodegradable Membranes for Gas Separation─toward a Membrane Circular Economy. ACS Applied Engineering Materials. 2(6). 1515–1525. 4 indexed citations
10.
Olalere, Olusegun Abayomi, et al.. (2024). Mechanochemical extraction of edible proteins from moor grass. PubMed. 1(4). 375–385. 3 indexed citations
11.
Keirouz, Antonios, Francesco Galiano, Francesca Russo, et al.. (2024). Cyrene-Enabled Green Electrospinning of Nanofibrous Graphene-Based Membranes for Water Desalination via Membrane Distillation. ACS Sustainable Chemistry & Engineering. 12(49). 17713–17725. 17 indexed citations
12.
Leese, Hannah S., et al.. (2023). Advances in screening and diagnostic lab-on-chip tools for gynaecological cancers – a review. Artificial Cells Nanomedicine and Biotechnology. 51(1). 618–629. 2 indexed citations
13.
Leese, Hannah S., et al.. (2023). Cross-Linking of Sugar-Derived Polyethers and Boronic Acids for Renewable, Self-Healing, and Single-Ion Conducting Organogel Polymer Electrolytes. ACS Applied Energy Materials. 6(5). 2924–2935. 20 indexed citations
14.
Govada, Lata, Noelia Rubio, Emmanuel Saridakis, et al.. (2022). Graphene‐Based Nucleants for Protein Crystallization. Advanced Functional Materials. 32(42). 7 indexed citations
15.
Kiddle, Guy, et al.. (2021). Molecular diagnostics in the era of COVID-19. Analytical Methods. 13(34). 3744–3763. 9 indexed citations
16.
Lee, Won Jun, Erwan Paineau, David B. Anthony, et al.. (2020). Inorganic Nanotube Mesophases Enable Strong Self-Healing Fibers. ACS Nano. 14(5). 5570–5580. 23 indexed citations
17.
Lee, Won Jun, Adam J. Clancy, David B. Anthony, et al.. (2019). Interfacially-grafted single-walled carbon nanotube / poly (vinyl alcohol) composite fibers. Carbon. 146. 162–171. 32 indexed citations
18.
Hu, Sheng, Zachary P. L. Laker, Hannah S. Leese, et al.. (2017). Thermochemical functionalisation of graphenes with minimal framework damage. Chemical Science. 8(9). 6149–6154. 6 indexed citations
19.
Clancy, Adam J., et al.. (2017). Reductive dissolution of supergrowth carbon nanotubes for tougher nanocomposites by reactive coagulation spinning. Nanoscale. 9(25). 8764–8773. 20 indexed citations
20.
Lee, Kah Peng, Hannah S. Leese, & Davide Mattia. (2012). Water flow enhancement in hydrophilic nanochannels. Nanoscale. 4(8). 2621–2621. 97 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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