Brian Laing
Impact in
- Organic Chemistry top 10%
- Catalytic Cross-Coupling Reactions
- Catalytic C–H Functionalization Methods
- Nanomaterials for catalytic reactions
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 9
- RNA Interference and Gene Delivery 9
- DNA and Nucleic Acid Chemistry 8
- RNA and protein synthesis mechanisms 1
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- Electrochemical sensors and biosensors 1
- Co-authors
- Xin Ming (4 shared papers)R. L. Juliano (2 shared papers)Kyle Carver (1 shared paper)Jimmy DaSilva (1 shared paper)David J. Mathre (1 shared paper)Xiaodong Bu (1 shared paper)Tiebang Wang (1 shared paper)Christopher J. Welch (1 shared paper)
- Journals
- Bioconjugate Chemistry (3 papers)Methods (1 paper)Advanced Drug Delivery Reviews (1 paper)Chemical Communications (1 paper)Nucleic Acid Therapeutics (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Brian Laing
9 papers receiving 498 citations
Peers
Comparison fields: 5 of 61
- Organic Chemistry 177
- Molecular Biology 304
- Inorganic Chemistry 41
- Cancer Research 25
- Spectroscopy 30
Countries citing papers authored by Brian Laing
This map shows the geographic impact of Brian Laing'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 Laing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Laing more than expected).
Fields of papers citing papers by Brian Laing
This network shows the impact of papers produced by Brian Laing. 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 Laing. The network helps show where Brian Laing may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Laing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 214 | |
| 2 | 2014 | 109 | |
| 3 | 2015 | 79 | |
| 4 | 2015 | 61 | |
| 5 | 2010 | 14 | |
| 6 | 2015 | 12 | |
| 7 | 2010 | 10 | |
| 8 | 2015 | 7 | |
| 9 | 2010 | 6 | |
| 10 | 2012 | 1 |
About Brian Laing
Brian Laing is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Electrochemistry, Analytical Chemistry and Infectious Diseases, having authored 10 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (9 papers), DNA and Nucleic Acid Chemistry (8 papers), RNA and protein synthesis mechanisms (1 paper), Analytical chemistry methods development (1 paper), Electrochemical sensors and biosensors (1 paper) and Electrochemical Analysis and Applications (1 paper). The work is most often cited by research in Organic Chemistry (177 citations), Molecular Biology (304 citations), Inorganic Chemistry (41 citations), Cancer Research (25 citations) and Spectroscopy (30 citations). Brian Laing has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Xin Ming, R. L. Juliano, Kyle Carver, Jimmy DaSilva, David J. Mathre, Xiaodong Bu, Tiebang Wang, Christopher J. Welch, Jennifer Albaneze‐Walker and Mirlinda Biba. Their work appears in journals such as Bioconjugate Chemistry, Methods, Advanced Drug Delivery Reviews, Chemical Communications and Nucleic Acid Therapeutics.
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.