G.A. Barber
Impact in
- Biochemistry top 5%
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Diet, Metabolism, and Disease 13
-
- Photosynthetic Processes and Mechanisms 5
- Co-authors
- W. Z. Hassid (3 shared papers)Alan D. Elbein (2 shared papers)P.K. Stumpf (2 shared papers)Edward J. Behrman (3 shared papers)Israel Zelitch (2 shared papers)Patricia A. Hebda (2 shared papers)Elizabeth F. Neufeld (1 shared paper)Michael T. Chang (1 shared paper)
- Journals
- Archives of Biochemistry and Biophysics (8 papers)PLANT PHYSIOLOGY (4 papers)Journal of Biological Chemistry (3 papers)Journal of the American Chemical Society (2 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
G.A. Barber
31 papers receiving 630 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 86
- Biotechnology 85
- Nutrition and Dietetics 134
- Plant Science 267
- Biochemistry 38
Countries citing papers authored by G.A. Barber
This map shows the geographic impact of G.A. 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 G.A. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A. Barber more than expected).
Fields of papers citing papers by G.A. Barber
This network shows the impact of papers produced by G.A. 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 G.A. Barber. The network helps show where G.A. Barber may publish in the future.
Co-authors
The 11 scholars most cited alongside G.A. 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1964 | 93 | |
| 2 | 1962 | 63 | |
| 3 | 1964 | 57 | |
| 4 | 1956 | 44 | |
| 5 | 1963 | 41 | |
| 6 | 1957 | 38 | |
| 7 | 1979 | 33 | |
| 8 | 1968 | 27 | |
| 9 | 1965 | 25 | |
| 10 | 1971 | 25 | |
| 11 | 1960 | 22 | |
| 12 | 1972 | 22 | |
| 13 | 1961 | 22 | |
| 14 | 1979 | 22 | |
| 15 | 1962 | 21 | |
| 16 | 1991 | 19 | |
| 17 | 1971 | 16 | |
| 18 | 1960 | 16 | |
| 19 | 1975 | 13 | |
| 20 | 1975 | 12 |
About G.A. Barber
G.A. Barber is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Nutrition and Dietetics, Plant Science and Organic Chemistry, having authored 31 papers that have together received 700 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (13 papers), Microbial Metabolites in Food Biotechnology (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Plant nutrient uptake and metabolism (5 papers), Biofuel production and bioconversion (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Enzyme Structure and Function (4 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Biochemistry (86 citations), Biotechnology (85 citations), Nutrition and Dietetics (134 citations), Plant Science (267 citations) and Biochemistry (38 citations). G.A. Barber has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include W. Z. Hassid, Alan D. Elbein, P.K. Stumpf, Edward J. Behrman, Israel Zelitch, Patricia A. Hebda, Elizabeth F. Neufeld, Michael T. Chang, Sunita Chopra and Brian J.G. Pereira. Their work appears in journals such as Archives of Biochemistry and Biophysics, PLANT PHYSIOLOGY, Journal of Biological Chemistry, Journal of the American Chemical Society and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.