G. C. Ford
Impact in
- Cell Biology top 1%
- Muscle metabolism and nutrition
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
- Cell Biology 24
- Muscle metabolism and nutrition 23
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- Metabolomics and Mass Spectrometry Studies 10
- Muscle Physiology and Disorders 3
- Co-authors
- K. Sreekumaran Nair (24 shared papers)David Halliday (11 shared papers)Kaipeng Cheng (6 shared papers)P. J. Pacy (8 shared papers)M. Persson (3 shared papers)H. Houston Merritt (4 shared papers)Karin Ekberg (1 shared paper)J. Wahren (1 shared paper)
- Journals
- Journal of Mass Spectrometry (11 papers)American Journal of Physiology-Endocrinology and Metabolism (6 papers)Clinical Science (3 papers)Diabetes (3 papers)Metabolism (3 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
G. C. Ford
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Cell Biology 865
- Clinical Biochemistry 328
- Physiology 730
- Critical Care and Intensive Care Medicine 67
- Rehabilitation 92
Countries citing papers authored by G. C. Ford
This map shows the geographic impact of G. C. Ford'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. C. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. C. Ford more than expected).
Fields of papers citing papers by G. C. Ford
This network shows the impact of papers produced by G. C. Ford. 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. C. Ford. The network helps show where G. C. Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside G. C. Ford, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 201 | |
| 2 | 1989 | 179 | |
| 3 | 2001 | 127 | |
| 4 | 1985 | 119 | |
| 5 | 2011 | 109 | |
| 6 | 1998 | 104 | |
| 7 | 2008 | 90 | |
| 8 | 1997 | 84 | |
| 9 | 1987 | 76 | |
| 10 | 2008 | 65 | |
| 11 | 1985 | 64 | |
| 12 | 1990 | 64 | |
| 13 | 2014 | 53 | |
| 14 | 2012 | 50 | |
| 15 | 1996 | 49 | |
| 16 | 1987 | 49 | |
| 17 | 2012 | 47 | |
| 18 | 2016 | 42 | |
| 19 | 2012 | 40 | |
| 20 | 2002 | 37 |
About G. C. Ford
G. C. Ford is a scholar working on Cell Biology, Molecular Biology, Physiology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (23 papers), Metabolism and Genetic Disorders (19 papers), Diet and metabolism studies (15 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Adipose Tissue and Metabolism (4 papers), Hormonal and reproductive studies (3 papers), Muscle Physiology and Disorders (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Cell Biology (865 citations), Clinical Biochemistry (328 citations), Physiology (730 citations), Critical Care and Intensive Care Medicine (67 citations) and Rehabilitation (92 citations). G. C. Ford has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include K. Sreekumaran Nair, David Halliday, Kaipeng Cheng, P. J. Pacy, M. Persson, H. Houston Merritt, Karin Ekberg, J. Wahren, E. Fernqvist‐Forbes and G. N. Thompson. Their work appears in journals such as Journal of Mass Spectrometry, American Journal of Physiology-Endocrinology and Metabolism, Clinical Science, Diabetes and Metabolism.
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.