Brian Conley

985 total citations
26 papers, 757 citations indexed

About

Brian Conley is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian Conley has authored 26 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 8 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian Conley's work include 3D Printing in Biomedical Research (7 papers), Graphene and Nanomaterials Applications (6 papers) and Neuroscience and Neural Engineering (5 papers). Brian Conley is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Graphene and Nanomaterials Applications (6 papers) and Neuroscience and Neural Engineering (5 papers). Brian Conley collaborates with scholars based in United States, South Korea and Netherlands. Brian Conley's co-authors include Ki‐Bum Lee, Letao Yang, Jeong‐Woo Choi, Tae‐Hyung Kim, Jin‐Ha Choi, Perry T. Yin, Jinho Yoon, Minkyu Shin, Thanapat Pongkulapa and Shreyas Shah and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Nano.

In The Last Decade

Brian Conley

26 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Conley United States 12 399 290 140 109 82 26 757
Yuxi Zhan China 16 341 0.9× 865 3.0× 116 0.8× 33 0.3× 21 0.3× 22 1.1k
S. Campbell Canada 16 520 1.3× 261 0.9× 62 0.4× 56 0.5× 31 0.4× 33 1.3k
Diwei Ho Australia 17 214 0.5× 653 2.3× 102 0.7× 32 0.3× 34 0.4× 30 1.2k
Junfeng Shi United States 14 469 1.2× 420 1.4× 80 0.6× 116 1.1× 10 0.1× 19 937
Zheng-Zheng Shi China 13 163 0.4× 398 1.4× 66 0.5× 31 0.3× 18 0.2× 27 785
Thomas Trimaille France 20 224 0.6× 276 1.0× 106 0.8× 58 0.5× 31 0.4× 45 1.2k
Metin Uz United States 16 251 0.6× 143 0.5× 91 0.7× 174 1.6× 7 0.1× 24 683
Anwei Zhou China 15 446 1.1× 333 1.1× 122 0.9× 21 0.2× 10 0.1× 40 853
Sebastian Neumann Germany 17 369 0.9× 478 1.6× 150 1.1× 65 0.6× 10 0.1× 34 1.0k

Countries citing papers authored by Brian Conley

Since Specialization
Citations

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

Fields of papers citing papers by Brian Conley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Conley

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Conley. A scholar is included among the top collaborators of Brian Conley 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 Brian Conley. Brian Conley 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.
Bektas, Cemile Kilic, et al.. (2025). 3D bioprinting approaches for enhancing stem cell-based neural tissue regeneration. Acta Biomaterialia. 193. 20–48. 8 indexed citations
2.
Conley, Brian, et al.. (2023). Development of a Nanohybrid Peptide Hydrogel for Enhanced Intervertebral Disc Repair and Regeneration. ACS Nano. 17(4). 3750–3764. 47 indexed citations
3.
Conley, Brian, et al.. (2022). Advanced theragnostics for the central nervous system (CNS) and neurological disorders using functional inorganic nanomaterials. Advanced Drug Delivery Reviews. 192. 114636–114636. 24 indexed citations
4.
Yoon, Jinho, Brian Conley, Minkyu Shin, et al.. (2022). Ultrasensitive Electrochemical Detection of Mutated Viral RNAs with Single-Nucleotide Resolution Using a Nanoporous Electrode Array (NPEA). ACS Nano. 16(4). 5764–5777. 35 indexed citations
5.
Luo, Jeffrey, Thanapat Pongkulapa, Brian Conley, et al.. (2022). Injectable bioorthogonal hydrogel (BIOGEL) accelerates tissue regeneration in degenerated intervertebral discs. Bioactive Materials. 23. 551–562. 30 indexed citations
6.
Yang, Letao, Brian Conley, Christopher Rathnam, et al.. (2022). Predictive Biophysical Cue Mapping for Direct Cell Reprogramming Using Combinatorial Nanoarrays. ACS Nano. 16(4). 5577–5586. 11 indexed citations
7.
Choi, Jin‐Ha, Minkyu Shin, Letao Yang, et al.. (2021). Clustered Regularly Interspaced Short Palindromic Repeats-Mediated Amplification-Free Detection of Viral DNAs Using Surface-Enhanced Raman Spectroscopy-Active Nanoarray. ACS Nano. 15(8). 13475–13485. 128 indexed citations
8.
Hajipour, Mohammad Javad, Amir Ata Saei, Edward D. Walker, et al.. (2021). Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges. Advanced Science. 8(21). e2100556–e2100556. 79 indexed citations
9.
Lee, Jong‐Min, Kyoung G. Lee, Hyeon‐Yeol Cho, et al.. (2020). Combinatorial biophysical cue sensor array for controlling neural stem cell fate. Biosensors and Bioelectronics. 156. 112125–112125. 22 indexed citations
10.
Conley, Brian, Thanapat Pongkulapa, & Ki‐Bum Lee. (2020). Multiphase Drug Release in Hollow Multishelled Structures. Chem. 6(11). 2875–2877. 7 indexed citations
11.
Choi, Jin‐Ha, Tae‐Hyung Kim, Waleed A. El‐Said, et al.. (2020). In Situ Detection of Neurotransmitters from Stem Cell-Derived Neural Interface at the Single-Cell Level via Graphene-Hybrid SERS Nanobiosensing. Nano Letters. 20(10). 7670–7679. 62 indexed citations
13.
Clark, Jill K., Brian Conley, & Samina Raja. (2020). Essential, fragile, and invisible community food infrastructure: The role of urban governments in the United States. Food Policy. 103. 102014–102014. 22 indexed citations
14.
Lees‐Marshment, Jennifer, et al.. (2019). Political Marketing. Discovery Research Portal (University of Dundee). 8 indexed citations
15.
Kim, Tae‐Hyung, Shreyas Shah, Letao Yang, et al.. (2015). Controlling Differentiation of Adipose-Derived Stem Cells Using Combinatorial Graphene Hybrid-Pattern Arrays. ACS Nano. 9(4). 3780–3790. 124 indexed citations
16.
Kim, Tae‐Hyung, Cheol‐Heon Yea, Sy‐Tsong Dean Chueng, et al.. (2015). Nanoelectrodes: Large‐Scale Nanoelectrode Arrays to Monitor the Dopaminergic Differentiation of Human Neural Stem Cells (Adv. Mater. 41/2015). Advanced Materials. 27(41). 6306–6306. 2 indexed citations
17.
Kim, Tae‐Hyung, Cheol‐Heon Yea, Sy‐Tsong Dean Chueng, et al.. (2015). Large‐Scale Nanoelectrode Arrays to Monitor the Dopaminergic Differentiation of Human Neural Stem Cells. Advanced Materials. 27(41). 6356–6362. 62 indexed citations
18.
Lees‐Marshment, Jennifer, et al.. (2014). Boutique Populism: The Emergence of the Tea Party Movement in the Age of Digital Politics. 79–102. 4 indexed citations
19.
Conley, Brian. (2013). The Politics of Party Renewal: The “Service Party” and the Origins of the Post-Goldwater Republican Right. Studies in American Political Development. 27(1). 51–67. 4 indexed citations
20.
Conley, Brian. (2010). States and the Making of the “Service” Party: The Case of the Postwar Ohio Republican Party. Journal of American Studies. 45(3). 519–537. 1 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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