Claire E. Lenehan

1.5k total citations
62 papers, 1.2k citations indexed

About

Claire E. Lenehan is a scholar working on Biomedical Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, Claire E. Lenehan has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 12 papers in Molecular Biology and 12 papers in Spectroscopy. Recurrent topics in Claire E. Lenehan's work include Analytical Chemistry and Chromatography (9 papers), Analytical chemistry methods development (8 papers) and Cultural Heritage Materials Analysis (7 papers). Claire E. Lenehan is often cited by papers focused on Analytical Chemistry and Chromatography (9 papers), Analytical chemistry methods development (8 papers) and Cultural Heritage Materials Analysis (7 papers). Claire E. Lenehan collaborates with scholars based in Australia, United States and Switzerland. Claire E. Lenehan's co-authors include Jamie S. Quinton, Adam J. Blanch, Neil W. Barnett, Simon W. Lewis, Allan Pring, Amanda Ellis, George Walker, Rachel S. Popelka-Filcoff, Joël Brugger and Chad Prior and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Claire E. Lenehan

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire E. Lenehan Australia 21 398 305 217 179 177 62 1.2k
Atitaya Siripinyanond Thailand 21 390 1.0× 280 0.9× 312 1.4× 110 0.6× 72 0.4× 82 1.5k
Clarisse Mariet France 18 257 0.6× 158 0.5× 169 0.8× 114 0.6× 125 0.7× 39 989
Nicolas H. Bings Germany 24 487 1.2× 245 0.8× 606 2.8× 229 1.3× 304 1.7× 47 1.7k
Patricia B.C. Forbes South Africa 24 411 1.0× 463 1.5× 206 0.9× 120 0.7× 337 1.9× 109 1.8k
Jarbas José R. Rohwedder Brazil 21 535 1.3× 123 0.4× 680 3.1× 153 0.9× 204 1.2× 77 1.5k
Vahid Majidi United States 27 314 0.8× 309 1.0× 855 3.9× 261 1.5× 250 1.4× 78 2.0k
Gábor Galbács Hungary 26 258 0.6× 362 1.2× 799 3.7× 112 0.6× 253 1.4× 115 2.1k
Nanjing Zhao China 19 124 0.3× 180 0.6× 418 1.9× 44 0.2× 96 0.5× 123 1.1k
Kevin Ashley United States 23 233 0.6× 182 0.6× 383 1.8× 607 3.4× 447 2.5× 111 1.9k
Olga Borovinskaya Switzerland 18 226 0.6× 369 1.2× 411 1.9× 119 0.7× 68 0.4× 26 1.1k

Countries citing papers authored by Claire E. Lenehan

Since Specialization
Citations

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

Fields of papers citing papers by Claire E. Lenehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire E. Lenehan. 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 Claire E. Lenehan. The network helps show where Claire E. Lenehan may publish in the future.

Co-authorship network of co-authors of Claire E. Lenehan

This figure shows the co-authorship network connecting the top 25 collaborators of Claire E. Lenehan. A scholar is included among the top collaborators of Claire E. Lenehan 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 Claire E. Lenehan. Claire E. Lenehan 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.
Appadoo, Dominique, et al.. (2025). Combining ATR far- and mid-infrared spectroscopy to distinguish native Australian plant exudates for cultural heritage analysis. Journal of Archaeological Science. 176. 106167–106167. 1 indexed citations
2.
Mann, Maximilian, Thomas P. Nicholls, Lynn S. Lisboa, et al.. (2025). Sustainable gold extraction from ore and electronic waste. Nature Sustainability. 8(8). 947–956. 5 indexed citations
3.
Ross, Kirstin, et al.. (2025). Challenges in laser tattoo removal: the impact of titanium dioxide on photodegradation of yellow inks. Archives of Toxicology. 99(4). 1371–1385. 1 indexed citations
4.
Appadoo, Dominique, et al.. (2025). Mid- and far-infrared data for the analysis of Australian plant exudates. Data in Brief. 61. 111830–111830. 1 indexed citations
5.
Johansen, Mathew P., Timothy E. Payne, Attila Stopic, et al.. (2021). Radionuclides and stable elements in vegetation in Australian arid environments: Concentration ratios and seasonal variation. Journal of Environmental Radioactivity. 234. 106627–106627. 6 indexed citations
6.
Gascooke, Jason R., et al.. (2020). Xylitol pentanitrate – Its characterization and analysis. Forensic Science International. 316. 110472–110472. 4 indexed citations
7.
Lenehan, Claire E., Shanan S. Tobe, Renee J. Smith, & Rachel S. Popelka-Filcoff. (2017). Microbial composition analyses by 16S rRNA sequencing: A proof of concept approach to provenance determination of archaeological ochre. PLoS ONE. 12(10). e0185252–e0185252. 12 indexed citations
8.
Johnston, Martin R., et al.. (2017). Insights into the complexation of N-Allyl-4-(4-(N-phenylureido)benzylamino)-1,8-naphthalimide with various anions. Scientific Reports. 7(1). 2512–2512. 5 indexed citations
9.
Stockham, Peter, et al.. (2016). An alternative approach for assessment of liquid chromatography-mass spectrometry matrix effects using auto-sampler programmed co-injection. Analytical and Bioanalytical Chemistry. 408(8). 2009–2017. 3 indexed citations
10.
Leterme, Sophie C., et al.. (2014). Approaches for the detection of harmful algal blooms using oligonucleotide interactions. Analytical and Bioanalytical Chemistry. 407(1). 95–116. 12 indexed citations
11.
Khodakov, Dmitriy A., et al.. (2013). On-chip capacitively coupled contactless conductivity detection using “injected” metal electrodes. The Analyst. 138(15). 4275–4275. 22 indexed citations
13.
Popelka-Filcoff, Rachel S., et al.. (2013). Towards identification of traditional European and indigenous Australian paint binders using pyrolysis gas chromatography mass spectrometry. Analytica Chimica Acta. 803. 194–203. 14 indexed citations
14.
Barnett, Neil W., Duncan Graham, Claire E. Lenehan, et al.. (2011). Chemiluminescence detection of 1,3,5-trinitro-1,3,5-triazacyclohexane (RDX) and related nitramine explosives. Talanta. 88. 743–748. 6 indexed citations
15.
Walshe, Keryn, et al.. (2010). Towards the identification of plant and animal binders on Australian stone knives. Talanta. 82(2). 745–750. 11 indexed citations
16.
Lenehan, Claire E., et al.. (2009). UV Light Stability of a-Cyclodextrin/Resveratrol Host–Guest Complexes and Isomer Stability at Varying pH. Australian Journal of Chemistry. 62(8). 921–926. 28 indexed citations
17.
Lenehan, Claire E., et al.. (2008). A screening test for heroin based on sequential injection analysis with dual-reagent chemiluminescence detection. Talanta. 76(3). 674–679. 8 indexed citations
18.
Blanch, Adam J., Jamie S. Quinton, Claire E. Lenehan, & Allan Pring. (2007). Autocorrelation infrared analysis of mineralogical samples: The influence of user controllable experimental parameters. Analytica Chimica Acta. 590(2). 145–150. 9 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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