D. J. Flint
Impact in
- Agronomy and Crop Science top 1%
- Reproductive Physiology in Livestock
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 40
- Genetics 23
- Digestive system and related health 15
- Co-authors
- Elizabeth Tonner (14 shared papers)Richard G. Vernon (9 shared papers)ROGER A. CLEGG (5 shared papers)MICHAEL C. BARBER (4 shared papers)M T Travers (5 shared papers)Christine J. Watson (1 shared paper)Rachel Chapman (1 shared paper)Kohsuke Takeda (1 shared paper)
- Journals
- Journal of Endocrinology (23 papers)Biochemical Journal (6 papers)Endocrinology (3 papers)Reproduction (3 papers)Journal of Animal Science (3 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
D. J. Flint
74 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Agronomy and Crop Science 540
- Endocrinology, Diabetes and Metabolism 730
- Animal Science and Zoology 288
- Small Animals 161
- Genetics 607
Countries citing papers authored by D. J. Flint
This map shows the geographic impact of D. J. Flint'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 D. J. Flint with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Flint more than expected).
Fields of papers citing papers by D. J. Flint
This network shows the impact of papers produced by D. J. Flint. 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 D. J. Flint. The network helps show where D. J. Flint may publish in the future.
Co-authors
The 25 scholars most cited alongside D. J. Flint, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 392 | |
| 2 | 1997 | 130 | |
| 3 | 1981 | 129 | |
| 4 | 1979 | 129 | |
| 5 | 1996 | 101 | |
| 6 | 1994 | 94 | |
| 7 | 2002 | 84 | |
| 8 | 1992 | 79 | |
| 9 | 2012 | 68 | |
| 10 | 1987 | 54 | |
| 11 | 1983 | 48 | |
| 12 | 1990 | 45 | |
| 13 | 1982 | 43 | |
| 14 | 1992 | 42 | |
| 15 | 1995 | 41 | |
| 16 | 2005 | 38 | |
| 17 | 1992 | 37 | |
| 18 | 1986 | 36 | |
| 19 | 1998 | 36 | |
| 20 | 1986 | 33 |
About D. J. Flint
D. J. Flint is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Physiology and Animal Science and Zoology, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (40 papers), Digestive system and related health (15 papers), Adipose Tissue and Metabolism (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Birth, Development, and Health (7 papers), Reproductive Physiology in Livestock (7 papers), Pancreatic function and diabetes (6 papers) and Infant Nutrition and Health (5 papers). The work is most often cited by research in Agronomy and Crop Science (540 citations), Endocrinology, Diabetes and Metabolism (730 citations), Animal Science and Zoology (288 citations), Small Animals (161 citations) and Genetics (607 citations). D. J. Flint has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Elizabeth Tonner, Richard G. Vernon, ROGER A. CLEGG, MICHAEL C. BARBER, M T Travers, Christine J. Watson, Rachel Chapman, Kohsuke Takeda, Shizuo Akira and Paula C. Lourenco. Their work appears in journals such as Journal of Endocrinology, Biochemical Journal, Endocrinology, Reproduction and Journal of Animal Science.
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.