Natasha Logan

779 total citations · 1 hit paper
15 papers, 559 citations indexed

About

Natasha Logan is a scholar working on Molecular Biology, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Natasha Logan has authored 15 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Analytical Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Natasha Logan's work include Identification and Quantification in Food (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Natasha Logan is often cited by papers focused on Identification and Quantification in Food (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Natasha Logan collaborates with scholars based in United Kingdom, Thailand and Austria. Natasha Logan's co-authors include Cuong Cao, Christopher T. Elliott, Javier Lou-Franco, Bhaskar Das, P. Balasubramanian, Moon Il Kim, Claire McVey, Simon A. Haughey, Stephan Freitag and Rudolf Krska and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Food Chemistry.

In The Last Decade

Natasha Logan

15 papers receiving 554 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advancing Mycotoxin Detection in Food and Feed: Novel Insights from Surface‐Enhanced Raman Spectroscopy (SERS)

2024 76 citations Natasha Logan, Cuong Cao et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natasha Logan United Kingdom	10	310	283	206	115	81	15	559
Ruimei Wu China	14	231 0.7×	224 0.8×	216 1.0×	224 1.9×	110 1.4×	31	653
Wenya Wei China	14	166 0.5×	188 0.7×	319 1.5×	111 1.0×	98 1.2×	27	643
Shirong Ai China	10	155 0.5×	150 0.5×	156 0.8×	167 1.5×	91 1.1×	19	451
Afang Zhu China	16	195 0.6×	423 1.5×	489 2.4×	68 0.6×	273 3.4×	29	844
Limei Yin China	10	87 0.3×	162 0.6×	186 0.9×	48 0.4×	120 1.5×	15	354
Zehua Cheng China	8	174 0.6×	144 0.5×	103 0.5×	69 0.6×	107 1.3×	13	340
Yeli Luo China	14	401 1.3×	549 1.9×	285 1.4×	143 1.2×	99 1.2×	16	869
Qiong Shi China	12	117 0.4×	108 0.4×	97 0.5×	102 0.9×	48 0.6×	26	354
Jianlong Wang China	9	148 0.5×	188 0.7×	159 0.8×	89 0.8×	31 0.4×	28	380

Countries citing papers authored by Natasha Logan

Since Specialization

Citations

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

Fields of papers citing papers by Natasha Logan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Logan

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

All Works

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15 of 15 papers shown

Teye, Ernest, et al.. (2024). 18 Year analysis of RASFF notifications on Sudan dye adulterated cases in palm oil (2004 to 2022) and the principles of the technique for its detection. Sustainable Food Technology. 2(5). 1235–1245. 3 indexed citations

Liu, Xiaotong, et al.. (2024). Non-linear responses via agglomeration and aggregation of gold nanoparticles for surface-enhanced Raman spectroscopy (SERS) coupled with chemometric analysis for chlorpyrifos detection. Food Chemistry. 455. 139944–139944. 10 indexed citations

Birse, Nicholas, et al.. (2024). Promoting LC-QToF based non-targeted fingerprinting and biomarker selection with machine learning for the discrimination of black tea geographical origin. Food Chemistry. 465(Pt 2). 142088–142088. 3 indexed citations

Tarapoulouzi, Maria, Natasha Logan, Mike Hardy, et al.. (2024). A Pre-Trial Study to Identify Species of Origin in Halloumi Cheese Utilising Chemometrics with Near-Infrared and Hyperspectral Imaging Technologies. SHILAP Revista de lepidopterología. 5(1). 17–27. 6 indexed citations

Logan, Natasha, Cuong Cao, Stephan Freitag, et al.. (2024). Advancing Mycotoxin Detection in Food and Feed: Novel Insights from Surface‐Enhanced Raman Spectroscopy (SERS). Advanced Materials. 36(15). e2309625–e2309625. 76 indexed citations breakdown →

Haughey, Simon A., et al.. (2023). Utilization of Hyperspectral Imaging with Chemometrics to Assess Beef Maturity. Foods. 12(24). 4500–4500. 7 indexed citations

Logan, Natasha, Brian Quinn, Nicholas Birse, et al.. (2023). Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification. Food Chemistry. 438. 138029–138029. 41 indexed citations

Lou-Franco, Javier, et al.. (2023). Directed Assembly of Au Nanostar@Ag Satellite Nanostructures for SERS-Based Sensing of Hg²⁺ Ions. ACS Applied Nano Materials. 6(12). 10431–10440. 14 indexed citations

Logan, Natasha, Simon A. Haughey, Lin Liu, et al.. (2022). Handheld SERS coupled with QuEChERs for the sensitive analysis of multiple pesticides in basmati rice. npj Science of Food. 6(1). 3–3. 35 indexed citations

10.

Freitag, Stephan, Michael Sulyok, Natasha Logan, Christopher T. Elliott, & Rudolf Krska. (2022). The potential and applicability of infrared spectroscopic methods for the rapid screening and routine analysis of mycotoxins in food crops. Comprehensive Reviews in Food Science and Food Safety. 21(6). 5199–5224. 27 indexed citations

11.

Das, Bhaskar, Javier Lou-Franco, Natasha Logan, et al.. (2021). Nanozymes in Point-of-Care Diagnosis: An Emerging Futuristic Approach for Biosensing. Nano-Micro Letters. 13(1). 193–193. 182 indexed citations

12.

Logan, Natasha, Javier Lou-Franco, Christopher T. Elliott, & Cuong Cao. (2021). Catalytic gold nanostars for SERS-based detection of mercury ions (Hg²⁺) with inverse sensitivity. Environmental Science Nano. 8(9). 2718–2730. 37 indexed citations

13.

Logan, Natasha, Claire McVey, Christopher T. Elliott, & Cuong Cao. (2020). Amalgamated gold-nanoalloys with enhanced catalytic activity for the detection of mercury ions (Hg2+) in seawater samples. Nano Research. 13(4). 989–998. 53 indexed citations

14.

McVey, Claire, Natasha Logan, Nguyen T. K. Thanh, Christopher T. Elliott, & Cuong Cao. (2018). Unusual switchable peroxidase-mimicking nanozyme for the determination of proteolytic biomarker. Nano Research. 12(3). 509–516. 63 indexed citations

15.

Davidson, G., et al.. (1968). The Raman spectra of ruthenium and osmium tetroxides. Chemical Communications (London). 1044b–1044b. 2 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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