Daniel Salley

664 total citations
9 papers, 460 citations indexed

About

Daniel Salley is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Daniel Salley has authored 9 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Electronic, Optical and Magnetic Materials and 3 papers in Biomedical Engineering. Recurrent topics in Daniel Salley's work include Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Polyoxometalates: Synthesis and Applications (3 papers) and Advanced Nanomaterials in Catalysis (3 papers). Daniel Salley is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Polyoxometalates: Synthesis and Applications (3 papers) and Advanced Nanomaterials in Catalysis (3 papers). Daniel Salley collaborates with scholars based in United Kingdom, Ireland and Germany. Daniel Salley's co-authors include Leroy Cronin, Graham Keenan, Abhishek Sharma, Margaret Mullin, Jonathan Grizou, Takuo Minato, Kosuke Suzuki, Noritaka Mizuno, Kazuya Yamaguchi and Alon Henson and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Science Advances.

In The Last Decade

Daniel Salley

9 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Salley United Kingdom	9	281	160	87	63	47	9	460
Abhishek Sharma India	11	267 1.0×	175 1.1×	71 0.8×	121 1.9×	59 1.3×	24	544
Jenya Vestfrid Israel	12	390 1.4×	142 0.9×	39 0.4×	108 1.7×	62 1.3×	14	526
Andrés Aguilar‐Granda Mexico	12	273 1.0×	110 0.7×	33 0.4×	100 1.6×	36 0.8×	23	534
Suyong Han United States	11	309 1.1×	215 1.3×	52 0.6×	185 2.9×	33 0.7×	18	559
S. Hessam M. Mehr United Kingdom	12	289 1.0×	184 1.1×	28 0.3×	49 0.8×	105 2.2×	22	566
Tianyi Wu Canada	5	301 1.1×	222 1.4×	104 1.2×	108 1.7×	120 2.6×	9	585
Jiaxun Xie Singapore	7	146 0.5×	155 1.0×	45 0.5×	65 1.0×	61 1.3×	9	360
Riley J. Hickman Canada	14	386 1.4×	190 1.2×	39 0.4×	116 1.8×	102 2.2×	21	827
Amanda A. Volk United States	12	461 1.6×	324 2.0×	82 0.9×	256 4.1×	48 1.0×	16	758
Cyrille Lavigne Canada	9	377 1.3×	80 0.5×	136 1.6×	222 3.5×	58 1.2×	15	680

Countries citing papers authored by Daniel Salley

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Salley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Salley

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

All Works

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9 of 9 papers shown

He, Donglin, et al.. (2024). Algorithm-Driven Robotic Discovery of Polyoxometalate-Scaffolding Metal–Organic Frameworks. Journal of the American Chemical Society. 146(42). 28952–28960. 15 indexed citations

Salley, Daniel, J. Sebastián Manzano, Philip J. Kitson, & Leroy Cronin. (2023). Robotic Modules for the Programmable Chemputation of Molecules and Materials. ACS Central Science. 9(8). 1525–1537. 12 indexed citations

Salley, Daniel, et al.. (2022). An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials. Science Advances. 8(40). eabo2626–eabo2626. 124 indexed citations

Minato, Takuo, Daniel Salley, Noritaka Mizuno, et al.. (2021). Robotic Stepwise Synthesis of Hetero-Multinuclear Metal Oxo Clusters as Single-Molecule Magnets. Journal of the American Chemical Society. 143(32). 12809–12816. 52 indexed citations

Cao, Liwei, Danilo Russo, Kobi Felton, et al.. (2021). Optimization of Formulations Using Robotic Experiments Driven by Machine Learning DoE. Cell Reports Physical Science. 2(1). 100295–100295. 45 indexed citations

Salley, Daniel, et al.. (2020). A nanomaterials discovery robot for the Darwinian evolution of shape programmable gold nanoparticles. Nature Communications. 11(1). 112 indexed citations

Salley, Daniel, Graham Keenan, De‐Liang Long, Nicola L. Bell, & Leroy Cronin. (2020). A Modular Programmable Inorganic Cluster Discovery Robot for the Discovery and Synthesis of Polyoxometalates. ACS Central Science. 6(9). 1587–1593. 28 indexed citations

Kühne, Irina A., A. S. Barker, Daniel Salley, et al.. (2018). Anion Influence on Spin State in Two Novel Fe(III) Compounds: [Fe(5F-sal2333)]X. Crystals. 9(1). 19–19. 21 indexed citations

Salley, Daniel, et al.. (2018). Networking chemical robots for reaction multitasking. Nature Communications. 9(1). 3406–3406. 51 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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