F. G. Young
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 15
- Diet, Metabolism, and Disease 4
- Physiology 14
- Diet and metabolism studies 9
- Adipose Tissue and Metabolism 4
- Co-authors
- K.L. Manchester (8 shared papers)P J Randle (6 shared papers)E. Reid (3 shared papers)A.E. Harper (1 shared paper)M. P. Stack‐Dunne (3 shared papers)Joel C. Bornstein (1 shared paper)H. Kalant (1 shared paper)P.N. Campbell (1 shared paper)
- Journals
- Nature (12 papers)Journal of Endocrinology (8 papers)Experimental Biology and Medicine (4 papers)The Lancet (3 papers)British Medical Bulletin (2 papers)
- Partner nations
- United KingdomUnited StatesPeru
In The Last Decade
F. G. Young
67 papers receiving 845 citations
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 267
- Clinical Biochemistry 98
- Cell Biology 184
- Physiology 259
- Biochemistry 69
Countries citing papers authored by F. G. Young
This map shows the geographic impact of F. G. Young'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 F. G. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. G. Young more than expected).
Fields of papers citing papers by F. G. Young
This network shows the impact of papers produced by F. G. Young. 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 F. G. Young. The network helps show where F. G. Young may publish in the future.
Co-authors
The 25 scholars most cited alongside F. G. Young, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1958 | 125 | |
| 2 | 1960 | 68 | |
| 3 | 1959 | 46 | |
| 4 | 1951 | 43 | |
| 5 | 1957 | 40 | |
| 6 | 1959 | 39 | |
| 7 | 1955 | 39 | |
| 8 | 1956 | 37 | |
| 9 | 1959 | 33 | |
| 10 | 1951 | 31 | |
| 11 | 1957 | 28 | |
| 12 | 1952 | 26 | |
| 13 | 1956 | 26 | |
| 14 | 1960 | 24 | |
| 15 | 1957 | 24 | |
| 16 | 1958 | 22 | |
| 17 | 1951 | 21 | |
| 18 | 1961 | 21 | |
| 19 | 1951 | 19 | |
| 20 | 1963 | 19 |
About F. G. Young
F. G. Young is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Clinical Biochemistry and Cell Biology, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Diet and metabolism studies (9 papers), Metabolism and Genetic Disorders (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Muscle metabolism and nutrition (3 papers) and Biotin and Related Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (267 citations), Clinical Biochemistry (98 citations), Cell Biology (184 citations), Physiology (259 citations) and Biochemistry (69 citations). F. G. Young has collaborated with scholars based in United Kingdom, United States and Peru. Frequent co-authors include K.L. Manchester, P J Randle, E. Reid, A.E. Harper, M. P. Stack‐Dunne, Joel C. Bornstein, H. Kalant, P.N. Campbell, H. B. F. Dixon and B. Ketterer. Their work appears in journals such as Nature, Journal of Endocrinology, Experimental Biology and Medicine, The Lancet and British Medical Bulletin.
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.