Stephen L. Garland
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- Neuropeptides and Animal Physiology 3
- Neuroscience and Neuropharmacology Research 2
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- Receptor Mechanisms and Signaling 5
- Chemical Synthesis and Analysis 3
- Protein Kinase Regulation and GTPase Signaling 2
- Wnt/β-catenin signaling in development and cancer 2
- Glycosylation and Glycoproteins Research 1
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- Computational Drug Discovery Methods 4
- Co-authors
- David E. GloriamFrank E. BlaneySteven M. FoordP. M. DeanJason WitheringtonDeirdre M. B. HickeyMartin SaundersVincent Bordas
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Journal of Medicinal Chemistry (2 papers)Chemical Science (1 paper)
- Partner nations
- United KingdomDenmarkSouth Sudan
In The Last Decade
Stephen L. Garland
13 papers receiving 430 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 174
- Molecular Biology 323
- Computational Theory and Mathematics 58
- Organic Chemistry 104
- Endocrine and Autonomic Systems 12
Countries citing papers authored by Stephen L. Garland
This map shows the geographic impact of Stephen L. Garland'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 Stephen L. Garland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen L. Garland more than expected).
Fields of papers citing papers by Stephen L. Garland
This network shows the impact of papers produced by Stephen L. Garland. 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 Stephen L. Garland. The network helps show where Stephen L. Garland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen L. Garland, 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 | 2016 | 5 | |
| 2 | 2013 | 116 | |
| 3 | 2011 | 14 | |
| 4 | 2010 | 9 | |
| 5 | 2009 | 31 | |
| 6 | 2009 | 11 | |
| 7 | 2009 | 80 | |
| 8 | 2009 | 13 | |
| 9 | 2005 | 30 | |
| 10 | 2003 | 95 | |
| 11 | 2003 | 1 | |
| 12 | 1999 | 14 | |
| 13 | 1999 | 24 |
About Stephen L. Garland
Stephen L. Garland is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 13 papers that have together received 443 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (3 papers), Neuropeptides and Animal Physiology (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (174 citations), Molecular Biology (323 citations) and Computational Theory and Mathematics (58 citations). Stephen L. Garland has collaborated with scholars based in United Kingdom, Denmark and South Sudan. Frequent co-authors include David E. Gloriam, Frank E. Blaney, Steven M. Foord, P. M. Dean, Jason Witherington, Deirdre M. B. Hickey, Martin Saunders, Vincent Bordas, John Liddle and Robert J. Ife. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Chemical Science.
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.