Alan E. Barber
Impact in
-
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
-
- Metalloenzymes and iron-sulfur proteins
Papers in
-
- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 1
-
- Spectroscopy and Quantum Chemical Studies 2
- Co-authors
- Patricia C. Babbitt (5 shared papers)Ken A. Dill (2 shared papers)Christopher J. Fennell (2 shared papers)David L. Mobley (2 shared papers)Michael Hicks (2 shared papers)Shoshana Brown (2 shared papers)Eyal Akiva (2 shared papers)Doug Stryke (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (2 papers)eLife (1 paper)Bioinformatics (1 paper)Nucleic Acids Research (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Alan E. Barber
7 papers receiving 485 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 363
- Renewable Energy, Sustainability and the Environment 55
- Pharmacology 54
- Aging 5
- Biochemistry 18
Countries citing papers authored by Alan E. Barber
This map shows the geographic impact of Alan E. Barber'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 Alan E. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan E. Barber more than expected).
Fields of papers citing papers by Alan E. Barber
This network shows the impact of papers produced by Alan E. Barber. 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 Alan E. Barber. The network helps show where Alan E. Barber may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan E. Barber, 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 | 2013 | 189 | |
| 2 | 2008 | 85 | |
| 3 | 2014 | 80 | |
| 4 | 2012 | 48 | |
| 5 | 2012 | 43 | |
| 6 | 2011 | 38 | |
| 7 | 2011 | 3 |
About Alan E. Barber
Alan E. Barber is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Pharmacology and Clinical Biochemistry, having authored 7 papers that have together received 486 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Enzyme Structure and Function (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Trace Elements in Health (1 paper) and Electrostatics and Colloid Interactions (1 paper). The work is most often cited by research in Molecular Biology (363 citations), Renewable Energy, Sustainability and the Environment (55 citations), Pharmacology (54 citations), Aging (5 citations) and Biochemistry (18 citations). Alan E. Barber has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Patricia C. Babbitt, Ken A. Dill, Christopher J. Fennell, David L. Mobley, Michael Hicks, Shoshana Brown, Eyal Akiva, Doug Stryke, John H. Morris and Gemma L. Holliday. Their work appears in journals such as The Journal of Physical Chemistry B, eLife, Bioinformatics, Nucleic Acids Research and Cell Death and Differentiation.
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.