Brian M. Lamb
Impact in
Papers in
-
- 3D Printing in Biomedical Research 7
- Nanofabrication and Lithography Techniques 6
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- Molecular Junctions and Nanostructures 7
- Co-authors
- Muhammad N. Yousaf (11 shared papers)Carlos F. Barbas (3 shared papers)Andrew C. Mercer (2 shared papers)Nathan P. Westcott (5 shared papers)Aaron W. Feldman (1 shared paper)Yorke Zhang (1 shared paper)Thomas Lavergne (1 shared paper)Floyd E. Romesberg (1 shared paper)
- Journals
- Langmuir (4 papers)ChemBioChem (2 papers)Scientific Reports (1 paper)Journal of the American Chemical Society (1 paper)Chemical Communications (1 paper)
- Partner nations
- United StatesCanadaMorocco
In The Last Decade
Brian M. Lamb
15 papers receiving 549 citations
Peers
Comparison fields: 5 of 69
- Business and International Management 15
- Aging 10
- Surfaces, Coatings and Films 34
- Molecular Biology 331
- Biomedical Engineering 188
Countries citing papers authored by Brian M. Lamb
This map shows the geographic impact of Brian M. Lamb'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 M. Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Lamb more than expected).
Fields of papers citing papers by Brian M. Lamb
This network shows the impact of papers produced by Brian M. Lamb. 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 M. Lamb. The network helps show where Brian M. Lamb may publish in the future.
Co-authors
The 20 scholars most cited alongside Brian M. Lamb, 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 | 2017 | 140 | |
| 2 | 2013 | 95 | |
| 3 | 2013 | 48 | |
| 4 | 2014 | 39 | |
| 5 | 2011 | 38 | |
| 6 | 2015 | 34 | |
| 7 | 2010 | 28 | |
| 8 | 2008 | 28 | |
| 9 | 2008 | 25 | |
| 10 | 2008 | 23 | |
| 11 | 2009 | 18 | |
| 12 | 2008 | 17 | |
| 13 | 2008 | 14 | |
| 14 | 2014 | 8 | |
| 15 | 2009 | 2 | |
| 16 | 2020 | 1 |
About Brian M. Lamb
Brian M. Lamb is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 16 papers that have together received 558 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (7 papers), 3D Printing in Biomedical Research (7 papers), Nanofabrication and Lithography Techniques (6 papers), Neuroscience and Neural Engineering (3 papers), CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers) and Photochromic and Fluorescence Chemistry (1 paper). The work is most often cited by research in Business and International Management (15 citations), Aging (10 citations), Surfaces, Coatings and Films (34 citations), Molecular Biology (331 citations) and Biomedical Engineering (188 citations). Brian M. Lamb has collaborated with scholars based in United States, Canada and Morocco. Frequent co-authors include Muhammad N. Yousaf, Carlos F. Barbas, Andrew C. Mercer, Nathan P. Westcott, Aaron W. Feldman, Yorke Zhang, Thomas Lavergne, Floyd E. Romesberg, Lingjun Li and Abigail Pulsipher. Their work appears in journals such as Langmuir, ChemBioChem, Scientific Reports, Journal of the American Chemical Society and Chemical Communications.
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.