J. Stephen Yan

428 total citations
8 papers, 305 citations indexed

About

J. Stephen Yan is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, J. Stephen Yan has authored 8 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Polymers and Plastics and 2 papers in Molecular Biology. Recurrent topics in J. Stephen Yan's work include Neuroscience and Neural Engineering (4 papers), RNA Interference and Gene Delivery (2 papers) and Muscle activation and electromyography studies (2 papers). J. Stephen Yan is often cited by papers focused on Neuroscience and Neural Engineering (4 papers), RNA Interference and Gene Delivery (2 papers) and Muscle activation and electromyography studies (2 papers). J. Stephen Yan collaborates with scholars based in United States, Italy and Denmark. J. Stephen Yan's co-authors include Matteo Pasquali, Flavia Vitale, Elizabeth R. Figueroa, Rebekah A. Drezek, Aaron E. Foster, Adam Yuh Lin, Lauren W. Taylor, Oliver S. Dewey, Jacob T. Robinson and Daniel G. Vercosa and has published in prestigious journals such as Nano Letters, Biomaterials and Journal of Neurophysiology.

In The Last Decade

J. Stephen Yan

7 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Stephen Yan United States	6	152	98	76	66	56	8	305
Ilya Pyatnitskiy United States	8	185 1.2×	104 1.1×	48 0.6×	51 0.8×	45 0.8×	14	338
Aimee Stapleton Ireland	6	311 2.0×	67 0.7×	98 1.3×	67 1.0×	60 1.1×	12	499
Manping Jia United States	12	241 1.6×	121 1.2×	139 1.8×	53 0.8×	125 2.2×	23	453
Rongkang Yin United States	8	229 1.5×	191 1.9×	68 0.9×	87 1.3×	98 1.8×	12	467
Yuanbo Cui China	5	259 1.7×	50 0.5×	92 1.2×	53 0.8×	43 0.8×	12	333
Ivan B. Dimov United Kingdom	10	160 1.1×	76 0.8×	115 1.5×	81 1.2×	103 1.8×	16	442
Assunta Pistone Italy	13	151 1.0×	191 1.9×	112 1.5×	55 0.8×	115 2.1×	18	462
Mohammad Javad Bathaei Türkiye	5	276 1.8×	43 0.4×	85 1.1×	36 0.5×	90 1.6×	11	382
Mattia Musto Italy	7	213 1.4×	76 0.8×	26 0.3×	91 1.4×	40 0.7×	8	409
Laura Matino Italy	10	221 1.5×	214 2.2×	46 0.6×	79 1.2×	121 2.2×	13	395

Countries citing papers authored by J. Stephen Yan

Since Specialization

Citations

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

Fields of papers citing papers by J. Stephen Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Stephen Yan. 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 J. Stephen Yan. The network helps show where J. Stephen Yan may publish in the future.

Co-authorship network of co-authors of J. Stephen Yan

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

All Works

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8 of 8 papers shown

1.

Yan, J. Stephen, et al.. (2025). Polymyxin-resistant hypervirulent Klebsiella pneumoniae clinical isolates from a tertiary hospital in China: molecular mechanisms, antimicrobial susceptibility, and virulent phenotypes. Frontiers in Microbiology. 16. 1705471–1705471.

2.

Yan, J. Stephen, et al.. (2023). A flexible carbon nanotube electrode array for acute in vivo EMG recordings. Journal of Neurophysiology. 129(3). 651–661. 1 indexed citations

3.

Taylor, Lauren W., et al.. (2021). Washable, Sewable, All-Carbon Electrodes and Signal Wires for Electronic Clothing. Nano Letters. 21(17). 7093–7099. 54 indexed citations

4.

Yan, J. Stephen, Marco Orecchioni, Flavia Vitale, et al.. (2020). Biocompatibility studies of macroscopic fibers made from carbon nanotubes: Implications for carbon nanotube macrostructures in biomedical applications. Carbon. 173. 462–476. 31 indexed citations

5.

McCauley, Mark, Flavia Vitale, J. Stephen Yan, et al.. (2019). In Vivo Restoration of Myocardial Conduction With Carbon Nanotube Fibers. Circulation Arrhythmia and Electrophysiology. 12(8). e007256–e007256. 32 indexed citations

6.

Vitale, Flavia, Daniel G. Vercosa, Alexander V. Rodriguez, et al.. (2017). Fluidic Microactuation of Flexible Electrodes for Neural Recording. Nano Letters. 18(1). 326–335. 94 indexed citations

7.

Figueroa, Elizabeth R., et al.. (2017). A mechanistic investigation exploring the differential transfection efficiencies between the easy-to-transfect SK-BR3 and difficult-to-transfect CT26 cell lines. Journal of Nanobiotechnology. 15(1). 36–36. 21 indexed citations

8.

Figueroa, Elizabeth R., et al.. (2014). Optimization of PAMAM-gold nanoparticle conjugation for gene therapy. Biomaterials. 35(5). 1725–1734. 72 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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