Tom Robinson

2.5k total citations
63 papers, 1.8k citations indexed

About

Tom Robinson is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Tom Robinson has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 32 papers in Biomedical Engineering and 8 papers in Biomaterials. Recurrent topics in Tom Robinson's work include Lipid Membrane Structure and Behavior (29 papers), Nanopore and Nanochannel Transport Studies (21 papers) and Microfluidic and Capillary Electrophoresis Applications (8 papers). Tom Robinson is often cited by papers focused on Lipid Membrane Structure and Behavior (29 papers), Nanopore and Nanochannel Transport Studies (21 papers) and Microfluidic and Capillary Electrophoresis Applications (8 papers). Tom Robinson collaborates with scholars based in Germany, Switzerland and United Kingdom. Tom Robinson's co-authors include Naresh Yandrapalli, Rumiana Dimova, Petra S. Dittrich, T.‐Y. Dora Tang, Klaus Eyer, David T. Gonzales, Jan Steinkühler, Celina Love, Phillip Kuhn and Christopher Dunsby and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Tom Robinson

62 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Robinson Germany 23 1.1k 813 218 202 174 63 1.8k
Kerstin Göpfrich Germany 24 1.8k 1.6× 1.1k 1.4× 161 0.7× 194 1.0× 141 0.8× 60 2.2k
Sophie Pautot United States 14 883 0.8× 531 0.7× 96 0.4× 214 1.1× 108 0.6× 21 1.4k
Aldo Jesorka Sweden 21 1.0k 0.9× 864 1.1× 241 1.1× 325 1.6× 276 1.6× 107 2.0k
Toshihisa Osaki Japan 27 976 0.9× 1.3k 1.6× 361 1.7× 133 0.7× 152 0.9× 115 2.0k
Matthew A. Holden United States 22 1.1k 1.0× 1.3k 1.6× 417 1.9× 164 0.8× 142 0.8× 28 2.2k
Rebecca Schulman United States 23 1.6k 1.4× 524 0.6× 130 0.6× 351 1.7× 136 0.8× 71 2.0k
Michael J. Booth United Kingdom 21 2.0k 1.9× 450 0.6× 96 0.4× 95 0.5× 156 0.9× 50 2.7k
Michael Börsch Germany 28 1.8k 1.7× 413 0.5× 229 1.1× 135 0.7× 526 3.0× 75 2.7k
Jan Steinkühler Germany 20 980 0.9× 354 0.4× 51 0.2× 178 0.9× 120 0.7× 37 1.3k
T.‐Y. Dora Tang Germany 24 1.6k 1.5× 539 0.7× 115 0.5× 434 2.1× 419 2.4× 52 2.5k

Countries citing papers authored by Tom Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Tom Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Robinson. A scholar is included among the top collaborators of Tom Robinson 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 Tom Robinson. Tom Robinson 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.
Chevrier, Daniel M., Miguel A. Gomez‐Gonzalez, Sufal Swaraj, et al.. (2025). Imaging biomineralizing bacteria in their native-state with X-ray fluorescence microscopy. Chemical Science. 16(26). 12068–12079. 1 indexed citations
2.
Robinson, Tom, et al.. (2024). Assessing the mechanism of facilitated proton transport across GUVs trapped in a microfluidic device. Biophysical Journal. 123(18). 3267–3274.
3.
Codutti, Agnese, et al.. (2024). Physiological magnetic field strengths help magnetotactic bacteria navigate in simulated sediments. eLife. 13. 1 indexed citations
4.
Gupta, Sanju, et al.. (2023). Bioinspired and biomimetic membranes using ion channel proteins and designer peptides conjugated with graphene oxide for selective ion transport. Journal of materials research/Pratt's guide to venture capital sources. 38(14). 3519–3535. 2 indexed citations
5.
Bertinetti, Luca, et al.. (2022). FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis. PLoS ONE. 17(7). e0268297–e0268297. 8 indexed citations
6.
Dunsing, Valentin, et al.. (2022). Biomimetic asymmetric bacterial membranes incorporating lipopolysaccharides. Biophysical Journal. 122(11). 2147–2161. 9 indexed citations
7.
Frallicciardi, Jacopo, et al.. (2021). Minimal Pathway for the Regeneration of Redox Cofactors. SHILAP Revista de lepidopterología. 1(12). 2280–2293. 22 indexed citations
8.
Yandrapalli, Naresh, Julien Petit, Oliver Bäumchen, & Tom Robinson. (2021). Surfactant-free production of biomimetic giant unilamellar vesicles using PDMS-based microfluidics. Communications Chemistry. 4(1). 100–100. 51 indexed citations
9.
Garske, Daniela S., et al.. (2021). Osmotic pressure modulates single cell cycle dynamics inducing reversible growth arrest and reactivation of human metastatic cells. Scientific Reports. 11(1). 13455–13455. 26 indexed citations
10.
Zhao, Ziliang, Roland L. Knorr, Jaime Agudo‐Canalejo, et al.. (2019). Nanotubes Transform into Double-Membrane Sheets at the Interface between Two Aqueous Polymer Solutions. Biophysical Journal. 116(3). 226a–226a. 1 indexed citations
11.
Robinson, Tom, et al.. (2019). Interaction of SNARE Mimetic Peptides with Lipid bilayers: Effects of Secondary Structure, Bilayer Composition and Lipid Anchoring. Scientific Reports. 9(1). 7708–7708. 7 indexed citations
12.
Yandrapalli, Naresh, et al.. (2018). Giant Lipid Vesicles with Inner Compartments to Mimic Eukaryotic Cells. Biophysical Journal. 114(3). 461a–461a. 1 indexed citations
13.
Robinson, Tom, et al.. (2016). Recurrence of Neurological Deficits in an F/A-18D Pilot Following Loss of Cabin Pressure at Altitude. Aerospace Medicine and Human Performance. 87(8). 740–744. 4 indexed citations
14.
Robinson, Tom, et al.. (2016). Membranes under shear stress: visualization of non-equilibrium domain patterns and domain fusion in a microfluidic device. Soft Matter. 12(23). 5072–5076. 31 indexed citations
15.
Robinson, Tom, et al.. (2014). Controllable electrofusion of lipid vesicles: initiation and analysis of reactions within biomimetic containers. Lab on a Chip. 14(15). 2852–2852. 38 indexed citations
16.
Schmidt, Florian I., Phillip Kuhn, Tom Robinson, Jason Mercer, & Petra S. Dittrich. (2013). Single-Virus Fusion Experiments Reveal Proton Influx into Vaccinia Virions and Hemifusion Lag Times. Biophysical Journal. 105(2). 420–431. 16 indexed citations
17.
Purkayastha, Nirupam, Klaus Eyer, Tom Robinson, et al.. (2013). Enantiomeric and Diastereoisomeric (Mixed) L/ D‐Octaarginine Derivatives – A Simple Way of Modulating the Properties of Cell‐Penetrating Peptides. Chemistry & Biodiversity. 10(7). 1165–1184. 24 indexed citations
18.
Kuhn, Phillip, Klaus Eyer, Tom Robinson, et al.. (2012). A facile protocol for the immobilisation of vesicles, virus particles, bacteria, and yeast cells. Integrative Biology. 4(12). 1550–1550. 42 indexed citations
19.
20.
Robinson, Tom, Yolanda Schaerli, Robert C. R. Wootton, et al.. (2009). Removal of background signals from fluorescence thermometry measurements in PDMS microchannels using fluorescence lifetime imaging. Lab on a Chip. 9(23). 3437–3437. 29 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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