Brian Conley

1.0k citations
26 papers · 794 · h-index 13

Impact in

Papers in

    • 3D Printing in Biomedical Research 7
    • Graphene and Nanomaterials Applications 6
    • Advanced biosensing and bioanalysis techniques 4
    • Pluripotent Stem Cells Research 3

Brian Conley

26 papers receiving 788 citations

Peers

Brian Conley
Comparison fields: 5 of 100
  • Biomedical Engineering 402
  • Cellular and Molecular Neuroscience 109
  • Developmental Neuroscience 22
  • Biomaterials 76
  • Pathology and Forensic Medicine 83
Replace Diwei Ho with:
Diwei Ho Australia
Yuxi Zhan China
Alevtina S. Semkina Russia
Zhongxiang Jiang China
Junfeng Shi United States
Siew Lay Lim Singapore
Kongshuo Ma China
Blanca Arnáiz Spain
Liliana R. Pires Portugal
Brian Conley relative to Diwei Ho Australia Diwei Ho's profile →
Citations per field
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Diwei Ho · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Brian Conley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Conley Line = papers co-authored together Brian Conley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021136
2 2015125
3 202180
4 202066
5 202064
6 201563
7 202349
8 202238
9 202232
10 202228
11 202023
12 202023
13 202514
14 202211
15 20229
16 20198
17 20207
18 20134
19 20144
20 20152

About Brian Conley

Brian Conley is a scholar working on Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Political Science and International Relations and Sociology and Political Science, having authored 26 papers that have together received 794 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Graphene and Nanomaterials Applications (6 papers), Neuroscience and Neural Engineering (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Pluripotent Stem Cells Research (3 papers), Race, History, and American Society (3 papers), Electoral Systems and Political Participation (2 papers) and American Constitutional Law and Politics (2 papers). The work is most often cited by research in Biomedical Engineering (402 citations), Cellular and Molecular Neuroscience (109 citations), Developmental Neuroscience (22 citations), Biomaterials (76 citations) and Pathology and Forensic Medicine (83 citations). Brian Conley has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Ki‐Bum Lee, Letao Yang, Jeong‐Woo Choi, Jin‐Ha Choi, Tae‐Hyung Kim, Jinho Yoon, Minkyu Shin, Perry T. Yin, Thanapat Pongkulapa and Sang‐Nam Lee. Their work appears in journals such as ACS Nano, Advanced Materials, Bioactive Materials, Advanced Science and Advanced Drug Delivery Reviews.

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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