Steven Kirkham

435 total citations
10 papers, 359 citations indexed

About

Steven Kirkham is a scholar working on Biomaterials, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Steven Kirkham has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 7 papers in Organic Chemistry and 6 papers in Molecular Biology. Recurrent topics in Steven Kirkham's work include Supramolecular Self-Assembly in Materials (8 papers), Polydiacetylene-based materials and applications (6 papers) and Lipid Membrane Structure and Behavior (4 papers). Steven Kirkham is often cited by papers focused on Supramolecular Self-Assembly in Materials (8 papers), Polydiacetylene-based materials and applications (6 papers) and Lipid Membrane Structure and Behavior (4 papers). Steven Kirkham collaborates with scholars based in United Kingdom, Finland and Greece. Steven Kirkham's co-authors include Ian W. Hamley, Janne Ruokolainen, Mehedi Reza, Valeria Castelletto, Arindam Banerjee, Nibedita Nandi, Surajit Ghosh, Sandip Ghosh, Sukanta Sen and Debmalya Bhunia and has published in prestigious journals such as Langmuir, Chemical Communications and Biomacromolecules.

In The Last Decade

Steven Kirkham

10 papers receiving 359 citations

Peers

Steven Kirkham

BIOMA

MB

OC

MICRO

MC

Chengkang Tang China

Adrianna N. Shy United States

Yooseong Hong Canada

Renjie Liu United States

Nikul Khunti United Kingdom

Tianrui Xue United States

Sophie Coulter United Kingdom

Jiří Trousil Czechia

Pedro Salas‐Ambrosio France

Roxane Ridolfo Netherlands

Chengkang Tang China

Steven Kirkham

280 ×1.2

BIOMA

241 ×1.4

MB

115 ×0.8

OC

76 ×0.9

MICRO

55 ×0.8

MC

Citations per year, relative to Steven Kirkham Steven Kirkham (= 1×) peers Chengkang Tang

Countries citing papers authored by Steven Kirkham

Since Specialization

Citations

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

Fields of papers citing papers by Steven Kirkham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Kirkham

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

All Works

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10 of 10 papers shown

1.

Nandi, Nibedita, Kousik Gayen, Sandip Ghosh, et al.. (2017). Amphiphilic Peptide-Based Supramolecular, Noncytotoxic, Stimuli-Responsive Hydrogels with Antibacterial Activity. Biomacromolecules. 18(11). 3621–3629. 134 indexed citations

2.

Kirkham, Steven, Valeria Castelletto, Ian W. Hamley, et al.. (2016). Self‐Assembly of the Cyclic Lipopeptide Daptomycin: Spherical Micelle Formation Does Not Depend on the Presence of Calcium Chloride. ChemPhysChem. 17(14). 2118–2122. 32 indexed citations

3.

Hamley, Ian W., et al.. (2016). Nanosheet Formation by an Anionic Surfactant-like Peptide and Modulation of Self-Assembly through Ionic Complexation. Langmuir. 32(40). 10387–10393. 22 indexed citations

4.

Kirkham, Steven, Valeria Castelletto, Ian W. Hamley, et al.. (2016). Self-Assembly of Telechelic Tyrosine End-Capped PEO and Poly(alanine) Polymers in Aqueous Solution. Biomacromolecules. 17(3). 1186–1197. 13 indexed citations

5.

Castelletto, Valeria, Steven Kirkham, Ian W. Hamley, et al.. (2016). Self-Assembly of the Toll-Like Receptor Agonist Macrophage-Activating Lipopeptide MALP-2 and of Its Constituent Peptide. Biomacromolecules. 17(2). 631–640. 24 indexed citations

6.

Nandi, Nibedita, Shibaji Basak, Steven Kirkham, Ian W. Hamley, & Arindam Banerjee. (2016). Two-Component Fluorescent-Semiconducting Hydrogel from Naphthalene Diimide-Appended Peptide with Long-Chain Amines: Variation in Thermal and Mechanical Strengths of Gels. Langmuir. 32(49). 13226–13233. 42 indexed citations

7.

Kirkham, Steven, Ian W. Hamley, Andrew M. Smith, et al.. (2015). A self-assembling fluorescent dipeptide conjugate for cell labelling. Colloids and Surfaces B Biointerfaces. 137. 104–108. 16 indexed citations

8.

Hamley, Ian W., Steven Kirkham, R.M. Kowalczyk, et al.. (2015). Self-assembly of the anti-fungal polyene amphotericin B into giant helically-twisted nanotapes. Chemical Communications. 51(100). 17680–17683. 2 indexed citations

9.

Hamley, Ian W., Steven Kirkham, Ashkan Dehsorkhi, et al.. (2014). Toll-like receptor agonist lipopeptides self-assemble into distinct nanostructures. Chemical Communications. 50(100). 15948–15951. 49 indexed citations

10.

Hamley, Ian W., Steven Kirkham, Ashkan Dehsorkhi, et al.. (2014). Self-Assembly of a Model Peptide Incorporating a Hexa-Histidine Sequence Attached to an Oligo-Alanine Sequence, and Binding to Gold NTA/Nickel Nanoparticles. Biomacromolecules. 15(9). 3412–3420. 25 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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