Neil MacKinnon

1.2k total citations
59 papers, 852 citations indexed

About

Neil MacKinnon is a scholar working on Biomedical Engineering, Spectroscopy and Molecular Biology. According to data from OpenAlex, Neil MacKinnon has authored 59 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 19 papers in Spectroscopy and 16 papers in Molecular Biology. Recurrent topics in Neil MacKinnon's work include Advanced NMR Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (13 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Neil MacKinnon is often cited by papers focused on Advanced NMR Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (13 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Neil MacKinnon collaborates with scholars based in Germany, United Kingdom and United States. Neil MacKinnon's co-authors include Jan G. Korvink, Bruce Sinclair, Ayyalusamy Ramamoorthy, Nurdiana Nordin, Swati Sharma, Vlad Badilita, Bagganahalli S. Somashekar, Thekkelnaycke M. Rajendiran, Arul M. Chinnaiyan and Peter M. Macdonald and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Neil MacKinnon

55 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil MacKinnon Germany 16 249 247 227 172 160 59 852
Weng Kung Peng China 17 180 0.7× 494 2.0× 160 0.7× 102 0.6× 20 0.1× 36 923
Jarrod J. Buffy United States 20 615 2.5× 90 0.4× 58 0.3× 412 2.4× 50 0.3× 26 1.3k
Takayuki Sano Japan 16 263 1.1× 175 0.7× 203 0.9× 70 0.4× 155 1.0× 106 1.3k
Bob Berno Canada 18 528 2.1× 107 0.4× 58 0.3× 86 0.5× 86 0.5× 26 985
Agnieszka Wilk Poland 12 267 1.1× 220 0.9× 39 0.2× 47 0.3× 154 1.0× 23 983
Junbin Li China 22 330 1.3× 370 1.5× 342 1.5× 294 1.7× 19 0.1× 88 1.4k
Benjamin R. McDonald United States 13 110 0.4× 176 0.7× 265 1.2× 26 0.2× 63 0.4× 27 757
Huu M. Tran United States 15 914 3.7× 632 2.6× 106 0.5× 71 0.4× 27 0.2× 23 1.7k
Carlo Santambrogio Italy 24 612 2.5× 243 1.0× 84 0.4× 240 1.4× 17 0.1× 69 1.6k
José Antonio Gárate Chile 19 490 2.0× 662 2.7× 110 0.5× 24 0.1× 106 0.7× 50 1.3k

Countries citing papers authored by Neil MacKinnon

Since Specialization
Citations

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

Fields of papers citing papers by Neil MacKinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil MacKinnon

This figure shows the co-authorship network connecting the top 25 collaborators of Neil MacKinnon. A scholar is included among the top collaborators of Neil MacKinnon 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 Neil MacKinnon. Neil MacKinnon 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.
2.
Hengsbach, Stefan, et al.. (2024). Carbon nanofiber orientation influences bacterial adhesion under flow conditions. Colloids and Surfaces A Physicochemical and Engineering Aspects. 705. 135542–135542. 1 indexed citations
3.
MacKinnon, Neil, et al.. (2024). Biomineralization of Electrospun Bacteria-Encapsulated Fibers: A Relevant Step toward Living Ceramic Fibers. ACS Applied Bio Materials. 7(12). 7936–7943. 2 indexed citations
4.
Leak, David J., et al.. (2022). Synthetic microbial consortia bioprocessing integrated with pyrolysis for efficient conversion of cellulose to valuables. Bioresource Technology Reports. 21. 101316–101316. 4 indexed citations
5.
Nordin, Nurdiana, Lorenzo Bordonali, Gudrun Gygli, et al.. (2021). Real‐Time NMR Monitoring of Spatially Segregated Enzymatic Reactions in Multilayered Hydrogel Assemblies**. Angewandte Chemie. 133(35). 19325–19331. 3 indexed citations
6.
Nordin, Nurdiana, Lorenzo Bordonali, Gudrun Gygli, et al.. (2021). Real‐Time NMR Monitoring of Spatially Segregated Enzymatic Reactions in Multilayered Hydrogel Assemblies**. Angewandte Chemie International Edition. 60(35). 19176–19182. 7 indexed citations
7.
MacKinnon, Neil, et al.. (2021). Microfluidic Overhauser DNP chip for signal-enhanced compact NMR. Scientific Reports. 11(1). 4671–4671. 13 indexed citations
8.
Nordin, Nurdiana, et al.. (2021). Untuned broadband spiral micro-coils achieve sensitive multi-nuclear NMR TX/RX from microfluidic samples. Scientific Reports. 11(1). 7798–7798. 9 indexed citations
9.
MacKinnon, Neil, et al.. (2021). Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment. SHILAP Revista de lepidopterología. 2(2). 835–842. 2 indexed citations
10.
Nordin, Nurdiana, et al.. (2020). An NMR-compatible microfluidic platform enabling in situ electrochemistry. Lab on a Chip. 20(17). 3202–3212. 13 indexed citations
11.
Sharma, Swati, et al.. (2020). Efficient System Wide Metabolic Pathway Comparisons in Multiple Microbes Using Genome to KEGG Orthology (G2KO) Pipeline Tool. Interdisciplinary Sciences Computational Life Sciences. 12(3). 311–322. 10 indexed citations
12.
Korvink, Jan G., et al.. (2019). Broadband and multi-resonant sensors for NMR. Progress in Nuclear Magnetic Resonance Spectroscopy. 112-113. 34–54. 11 indexed citations
13.
Korvink, Jan G., et al.. (2019). “Small is beautiful” in NMR. Journal of Magnetic Resonance. 306. 112–117. 16 indexed citations
14.
Spengler, Nils, Dario Mager, Neil MacKinnon, et al.. (2016). Heteronuclear Micro-Helmholtz Coil Facilitates µm-Range Spatial and Sub-Hz Spectral Resolution NMR of nL-Volume Samples on Customisable Microfluidic Chips. PLoS ONE. 11(1). e0146384–e0146384. 37 indexed citations
15.
Rostas, Arpad Mihai, Nils Spengler, Neil MacKinnon, et al.. (2016). A microwave resonator integrated on a polymer microfluidic chip. Journal of Magnetic Resonance. 270. 169–175. 14 indexed citations
16.
Tripathi, Pratima, Pachiyappan Kamarajan, Bagganahalli S. Somashekar, et al.. (2012). Delineating metabolic signatures of head and neck squamous cell carcinoma: Phospholipase A, a potential therapeutic target. The International Journal of Biochemistry & Cell Biology. 44(11). 1852–1861. 79 indexed citations
17.
MacKinnon, Neil, Bagganahalli S. Somashekar, Pratima Tripathi, et al.. (2012). MetaboID: A graphical user interface package for assignment of 1H NMR spectra of bodyfluids and tissues. Journal of Magnetic Resonance. 226. 93–99. 15 indexed citations
18.
MacKinnon, Neil, et al.. (2005). Aluminum binding to phosphatidylcholine lipid bilayer membranes: aluminum exchange lifetimes from 31P NMR spectroscopy. Chemistry and Physics of Lipids. 139(2). 85–95. 9 indexed citations
19.
Conroy, Richard, Neil MacKinnon, David G. Matthews, & Bruce Sinclair. (1996). Diode-Pumped Nd:YVO4 Microchip Lasers Operating at 1342/671nm. Conference on Lasers and Electro-Optics Europe. 26. CFH1–CFH1. 1 indexed citations
20.
MacKinnon, Neil, et al.. (1994). Ultra-compact, laser-diode-array-pumped, Nd:YVO 4 /KTP, frequency-doubled, composite-material microchip laser. Conference on Lasers and Electro-Optics. 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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