Alex Gutteridge
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Pluripotent Stem Cells Research
Papers in
-
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 6
- Pluripotent Stem Cells Research 4
- Microbial Metabolic Engineering and Bioproduction 4
- Retinal Development and Disorders 4
- CRISPR and Genetic Engineering 4
-
- Computational Drug Discovery Methods 4
- Co-authors
- Janet M. ThorntonMinoru KanehisaWataru HondaYoshihiro YamanishiMichihiro ArakiGail J. BartlettPaul J. WhitingAnna Wilbrey
- Journals
- BMC Bioinformatics (3 papers)Scientific Reports (2 papers)Stem Cells Translational Medicine (2 papers)Bioinformatics (2 papers)Stem Cells (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Alex Gutteridge
31 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computational Theory and Mathematics 866
- Molecular Biology 1.9k
- Sensory Systems 72
- Cellular and Molecular Neuroscience 220
- Pharmacology 95
Countries citing papers authored by Alex Gutteridge
This map shows the geographic impact of Alex Gutteridge'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 Alex Gutteridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Gutteridge more than expected).
Fields of papers citing papers by Alex Gutteridge
This network shows the impact of papers produced by Alex Gutteridge. 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 Alex Gutteridge. The network helps show where Alex Gutteridge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Gutteridge, 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 | 2020 | 16 | |
| 2 | 2019 | 34 | |
| 3 | 2017 | 142 | |
| 4 | 2017 | 24 | |
| 5 | 2016 | 26 | |
| 6 | 2015 | 13 | |
| 7 | 2014 | 41 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 98 | |
| 10 | 2013 | 12 | |
| 11 | 2012 | 40 | |
| 12 | 2011 | 25 | |
| 13 | 2010 | 56 | |
| 14 | 2007 | 21 | |
| 15 | 2006 | 81 | |
| 16 | 2005 | 159 | |
| 17 | 2004 | 72 | |
| 18 | 2004 | 130 | |
| 19 | 2003 | 144 | |
| 20 | Sustained post-synaptic excitation in submucosal neurons | 2002 | 1 |
About Alex Gutteridge
Alex Gutteridge is a scholar working on Molecular Biology, Computational Theory and Mathematics, Developmental Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (6 papers), Pluripotent Stem Cells Research (4 papers), Computational Drug Discovery Methods (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Retinal Development and Disorders (4 papers), CRISPR and Genetic Engineering (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Computational Theory and Mathematics (866 citations), Molecular Biology (1.9k citations), Sensory Systems (72 citations), Cellular and Molecular Neuroscience (220 citations) and Pharmacology (95 citations). Alex Gutteridge has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Janet M. Thornton, Minoru Kanehisa, Wataru Honda, Yoshihiro Yamanishi, Michihiro Araki, Gail J. Bartlett, Paul J. Whiting, Anna Wilbrey, James R.F. Hockley and Jian Huang. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, Stem Cells Translational Medicine, Bioinformatics and Stem Cells.
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.