Robin Hurst

1.6k total citations
34 papers, 1.1k citations indexed

About

Robin Hurst is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robin Hurst has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robin Hurst's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (7 papers). Robin Hurst is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (7 papers). Robin Hurst collaborates with scholars based in United States, Canada and South Korea. Robin Hurst's co-authors include Keith V. Wood, Lance P. Encell, Thomas Machleidt, Mary P. Hall, Kris Zimmerman, Christopher T. Eggers, Henry I. Mosberg, Victor J. Hruby, Thomas F. Burks and Marie K. Schwinn and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Analytical Chemistry.

In The Last Decade

Robin Hurst

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Hurst United States 17 848 252 149 101 97 34 1.1k
Josephine M. Atienza United States 11 490 0.6× 146 0.6× 208 1.4× 76 0.8× 58 0.6× 14 873
Nicolas Floquet France 23 890 1.0× 177 0.7× 61 0.4× 89 0.9× 87 0.9× 45 1.4k
Konstantin V. Pavlov Russia 16 701 0.8× 68 0.3× 101 0.7× 68 0.7× 69 0.7× 36 876
Innokentiy Maslennikov United States 21 1.1k 1.3× 198 0.8× 34 0.2× 73 0.7× 102 1.1× 49 1.3k
Mahmoud L. Nasr United States 14 670 0.8× 110 0.4× 100 0.7× 43 0.4× 57 0.6× 27 926
Janet E. McCombs United States 15 1.1k 1.3× 207 0.8× 46 0.3× 39 0.4× 52 0.5× 21 1.4k
Iwan Zimmermann Switzerland 15 723 0.9× 150 0.6× 52 0.3× 122 1.2× 238 2.5× 19 1.0k
Sonia Di Gaetano Italy 24 974 1.1× 74 0.3× 55 0.4× 131 1.3× 77 0.8× 72 1.3k
Céline Adessi Switzerland 15 968 1.1× 110 0.4× 102 0.7× 179 1.8× 149 1.5× 25 1.5k
Barbara Lelli Italy 20 674 0.8× 121 0.5× 29 0.2× 102 1.0× 127 1.3× 30 975

Countries citing papers authored by Robin Hurst

Since Specialization
Citations

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

Fields of papers citing papers by Robin Hurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Hurst

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Hurst. A scholar is included among the top collaborators of Robin Hurst 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 Robin Hurst. Robin Hurst 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.
Yang, Tianxin, Mingyang Yuan, Matilde Inglese, et al.. (2025). Development of a HiBiT Peptide-Based NanoBRET Ligand Binding Assay for Galanin Receptor 1 in Live Cells. ACS Chemical Biology. 20(7). 1594–1608. 1 indexed citations
2.
Hurst, Robin, Mary P. Hall, Lance P. Encell, et al.. (2022). Development of a rapid, simple, and sensitive point-of-care technology platform utilizing ternary NanoLuc. Frontiers in Microbiology. 13. 970233–970233. 3 indexed citations
3.
Wang, Hui, Mary P. Hall, Robin Hurst, et al.. (2022). Simple, Rapid Chemical Labeling and Screening of Antibodies with Luminescent Peptides. ACS Chemical Biology. 17(8). 2179–2187. 3 indexed citations
4.
Levin, Sergiy, Robin Hurst, Mary P. Hall, et al.. (2021). An Integrated Approach toward NanoBRET Tracers for Analysis of GPCR Ligand Engagement. Molecules. 26(10). 2857–2857. 6 indexed citations
5.
Ohana, Rachel Friedman, Sergiy Levin, Robin Hurst, et al.. (2021). Streamlined Target Deconvolution Approach Utilizing a Single Photoreactive Chloroalkane Capture Tag. ACS Chemical Biology. 16(2). 404–413. 3 indexed citations
6.
Su, Yichi, Joel R. Walker, Yun‐Hee Park, et al.. (2020). Novel NanoLuc substrates enable bright two-population bioluminescence imaging in animals. Nature Methods. 17(8). 852–860. 128 indexed citations
7.
Levin, Sergiy, Kris Zimmerman, Thomas Machleidt, et al.. (2020). The luminescent HiBiT peptide enables selective quantitation of G protein–coupled receptor ligand engagement and internalization in living cells. Journal of Biological Chemistry. 295(15). 5124–5135. 41 indexed citations
8.
Levin, Sergiy, et al.. (2020). Equilibrium and Kinetic Measurements of Ligand Binding to HiBiT-tagged GPCRs On the Surface of Living Cells. BIO-PROTOCOL. 10(24). e3861–e3861. 3 indexed citations
9.
Ohana, Rachel Friedman, Robin Hurst, Sergiy Levin, et al.. (2019). Utilizing a Simple Method for Stoichiometric Protein Labeling to Quantify Antibody Blockade. Scientific Reports. 9(1). 7046–7046. 9 indexed citations
10.
Robers, Matthew B., James D. Vasta, Cesear Corona, et al.. (2018). Quantitative, Real-Time Measurements of Intracellular Target Engagement Using Energy Transfer. Methods in molecular biology. 1888. 45–71. 33 indexed citations
11.
Ohana, Rachel Friedman & Robin Hurst. (2015). Purification of Recombinant Proteins from Cultured Mammalian Cells by HaloTag Technology. Current Protocols in Molecular Biology. 110(1). 10.31.1–10.31.15. 2 indexed citations
12.
Zhao, Li, Kate Zhao, Robin Hurst, et al.. (2010). Engineering of a wheat germ expression system to provide compatibility with a high throughput pET-based cloning platform. Journal of Structural and Functional Genomics. 11(3). 201–209. 7 indexed citations
13.
Ohana, Rachel Friedman, Robin Hurst, Jolanta Vidugirienė, et al.. (2010). HaloTag-based purification of functional human kinases from mammalian cells. Protein Expression and Purification. 76(2). 154–164. 47 indexed citations
14.
Hurst, Robin, et al.. (2009). Protein–protein interaction studies on protein arrays: Effect of detection strategies on signal-to-background ratios. Analytical Biochemistry. 392(1). 45–53. 33 indexed citations
15.
Zhao, Kate, Robin Hurst, Michael R. Slater, & Robert F. Bulleit. (2007). Functional protein expression from a DNA based wheat germ cell-free system. Journal of Structural and Functional Genomics. 8(4). 199–208. 6 indexed citations
16.
Schenborn, Elaine T., et al.. (2007). The Role of Cell‑Free Rabbit Reticulocyte Expression Systems in Functional Proteomics. 9 indexed citations
17.
Traverso, Giovanni, Frank Diehl, Robin Hurst, et al.. (2003). Multicolor in vitro translation. Nature Biotechnology. 21(9). 1093–1097. 21 indexed citations
18.
19.
Deutsche, Rosalyn, et al.. (1991). If You Lived Here : The City in Art, Theory, and Social Activism : A Project by Martha Rosler. 8 indexed citations
20.
Matts, Robert L., N. Shaun B. Thomas, Robin Hurst, & Irving M. London. (1988). Correlation between the distribution of the reversing factor and eukaryotic initiation factor 2 in heme‐deficient or double‐stranded RNA‐inhibited reticulocyte lysates. FEBS Letters. 236(1). 179–184. 13 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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