Darryl L. Hadsell
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- Growth Hormone and Insulin-like Growth Factors 32
- Genetics top 2%
- Digestive system and related health 19
- Animal Genetics and Reproduction 15
- Agronomy and Crop Science top 2%
- Nutrition and Dietetics top 2%
- Infant Nutrition and Health 10
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 4
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- Metabolism, Diabetes, and Cancer 10
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- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Sharon G. BonnetteCraig R. BaumruckerJeffrey M. RosenAdrian V. LeeShannon L. WyszomierskiXiaojiang CuiMorey W. HaymondHyun‐Jung Kim
- Journals
- Molecular and Cellular Biology (1 paper)American Journal of Clinical Nutrition (1 paper)Development (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Darryl L. Hadsell
58 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 887
- Genetics 912
- Agronomy and Crop Science 287
- Nutrition and Dietetics 408
- Cancer Research 370
Countries citing papers authored by Darryl L. Hadsell
This map shows the geographic impact of Darryl L. Hadsell'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 Darryl L. Hadsell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl L. Hadsell more than expected).
Fields of papers citing papers by Darryl L. Hadsell
This network shows the impact of papers produced by Darryl L. Hadsell. 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 Darryl L. Hadsell. The network helps show where Darryl L. Hadsell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darryl L. Hadsell, 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 | 2015 | 23 | |
| 2 | 2014 | 13 | |
| 3 | 2010 | 63 | |
| 4 | 2008 | 128 | |
| 5 | 2008 | 20 | |
| 6 | 2007 | 36 | |
| 7 | 2007 | 26 | |
| 8 | 2007 | 24 | |
| 9 | 2007 | 141 | |
| 10 | 2006 | 26 | |
| 11 | 2005 | 19 | |
| 12 | 2004 | 9 | |
| 13 | 2003 | 39 | |
| 14 | 2002 | 51 | |
| 15 | 2001 | 19 | |
| 16 | 1996 | 6 | |
| 17 | 1994 | 5 | |
| 18 | 1994 | 104 | |
| 19 | 1993 | 14 | |
| 20 | Regulation of type I insulin-like growth factor receptors in a clonal population of bovine mammary epithelial cells. | 1990 | 2 |
About Darryl L. Hadsell
Darryl L. Hadsell is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Nutrition and Dietetics, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (32 papers), Digestive system and related health (19 papers), Animal Genetics and Reproduction (15 papers), Infant Nutrition and Health (10 papers), Metabolism, Diabetes, and Cancer (10 papers), Cancer Cells and Metastasis (6 papers), Cancer-related Molecular Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (887 citations), Genetics (912 citations) and Agronomy and Crop Science (287 citations). Darryl L. Hadsell has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Sharon G. Bonnette, Craig R. Baumrucker, Jeffrey M. Rosen, Adrian V. Lee, Shannon L. Wyszomierski, Xiaojiang Cui, Morey W. Haymond, Hyun‐Jung Kim, Robert K. Dearth and J.W. Blum. Their work appears in journals such as Molecular and Cellular Biology, American Journal of Clinical Nutrition and Development.
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.