Daniel N. Roxby

786 total citations
9 papers, 81 citations indexed

About

Daniel N. Roxby is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Environmental Engineering. According to data from OpenAlex, Daniel N. Roxby has authored 9 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Molecular Biology and 3 papers in Environmental Engineering. Recurrent topics in Daniel N. Roxby's work include Supercapacitor Materials and Fabrication (3 papers), Advanced battery technologies research (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Daniel N. Roxby is often cited by papers focused on Supercapacitor Materials and Fabrication (3 papers), Advanced battery technologies research (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). Daniel N. Roxby collaborates with scholars based in Singapore, Australia and United States. Daniel N. Roxby's co-authors include Yu‐Cheng Chen, Zhiyi Yuan, Guo‐En Chang, Xuerui Gong, Chaoyang Gong, Hung T. Nguyen, Pin Chieh Wu, Raymond Lau, Wei‐Chen Tu and Nham Tran and has published in prestigious journals such as Biosensors and Bioelectronics, Advanced Science and Stem Cell Research & Therapy.

In The Last Decade

Daniel N. Roxby

8 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel N. Roxby Singapore	5	29	27	20	19	12	9	81
Jinpei Zhao Singapore	6	46 1.6×	8 0.3×	4 0.2×	39 2.1×	18 1.5×	10	147
Arjun Sharma United States	7	15 0.5×	44 1.6×	4 0.2×	37 1.9×	5 0.4×	12	134
Bailin Zhang China	7	65 2.2×	53 2.0×	6 0.3×	50 2.6×	6 0.5×	13	142
Tetyana Ignatova United States	6	55 1.9×	46 1.7×	3 0.1×	61 3.2×	8 0.7×	26	142
Cameron L. Gardner United States	3	75 2.6×	25 0.9×	90 4.5×	15 0.8×	15 1.3×	4	141
Zhihao Chen China	7	91 3.1×	13 0.5×	4 0.2×	10 0.5×	21 1.8×	28	199
Zhenyu Dai China	7	92 3.2×	16 0.6×	8 0.4×	79 4.2×	17 1.4×	14	336
Amanda Musgrove Canada	6	44 1.5×	15 0.6×		14 0.7×	12 1.0×	13	106
Yadong Wei China	6	21 0.7×	12 0.4×	2 0.1×	43 2.3×	9 0.8×	12	96
Daniele Rossetto Italy	7	7 0.2×	80 3.0×	4 0.2×	47 2.5×	54 4.5×	12	191

Countries citing papers authored by Daniel N. Roxby

Since Specialization

Citations

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

Fields of papers citing papers by Daniel N. Roxby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel N. Roxby

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel N. Roxby. A scholar is included among the top collaborators of Daniel N. Roxby 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 N. Roxby. Daniel N. Roxby 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

Chen, Jiahui, Daniel N. Roxby, Wai Hon Chooi, et al.. (2024). Using magnetic resonance relaxometry to evaluate the safety and quality of induced pluripotent stem cell-derived spinal cord progenitor cells. Stem Cell Research & Therapy. 15(1). 465–465.

Chooi, Wai Hon, Hyungkook Jeon, Jiahui Chen, et al.. (2024). Label-Free and High-Throughput Removal of Residual Undifferentiated Cells From iPSC-Derived Spinal Cord Progenitor Cells. Stem Cells Translational Medicine. 13(4). 387–398. 9 indexed citations

Roxby, Daniel N., Vinitha Denslin, Zheng Yang, et al.. (2024). Metabolic modulation to improve MSC expansion and therapeutic potential for articular cartilage repair. Stem Cell Research & Therapy. 15(1). 308–308. 3 indexed citations

Roxby, Daniel N., Zhiyi Yuan, Pin Chieh Wu, et al.. (2020). Enhanced Biophotocurrent Generation in Living Photosynthetic Optical Resonator. Advanced Science. 7(11). 1903707–1903707. 22 indexed citations

Roxby, Daniel N., Chaoyang Gong, Xuerui Gong, et al.. (2020). Microalgae living sensor for metal ion detection with nanocavity-enhanced photoelectrochemistry. Biosensors and Bioelectronics. 165. 112420–112420. 35 indexed citations

Roxby, Daniel N., S. R. Simon Ting, & Hung T. Nguyen. (2017). Polypyrrole RVC biofuel cells for powering medical implants. PubMed. 11. 779–782. 1 indexed citations

Roxby, Daniel N., Nham Tran, Pak‐Lam Yu, & Hung T. Nguyen. (2016). Effect of growth solution, membrane size and array connection on microbial fuel cell power supply for medical devices. PubMed. 2016. 1946–1949. 2 indexed citations

Roxby, Daniel N., Nham Tran, Pak‐Lam Yu, & Hung T. Nguyen. (2015). Experimenting with microbial fuel cells for powering implanted biomedical devices. PubMed. 2015. 2685–2688. 4 indexed citations

Roxby, Daniel N., Nham Tran, & Hung T. Nguyen. (2014). A simple microbial fuel cell model for improvement of biomedical device powering times. PubMed. 2014. 634–637. 5 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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