Darryl L. Hadsell
- Molecular Biology top 10%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 5%
- Nutrition and Dietetics top 2%
- Co-authors
- Sharon G. BonnetteCraig R. BaumruckerJeffrey M. RosenAdrian V. LeeShannon L. WyszomierskiXiaojiang CuiMorey W. HaymondHyun‐Jung Kim
- Topics
- Growth Hormone and Insulin-like Growth Factors (32 papers)Digestive system and related health (19 papers)Animal Genetics and Reproduction (15 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Darryl L. Hadsell
58 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.2k
- Genetics 912
- Endocrinology, Diabetes and Metabolism 887
- Oncology 581
- Nutrition and Dietetics 408
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 of co-authors of Darryl L. Hadsell
This figure shows the co-authorship network connecting the top 25 collaborators of Darryl L. Hadsell. A scholar is included among the top collaborators of Darryl L. Hadsell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darryl L. Hadsell. Darryl L. Hadsell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 13 | |
| 3 | 63 | |
| 4 | 128 | |
| 5 | 20 | |
| 6 | 36 | |
| 7 | 26 | |
| 8 | 24 | |
| 9 | 141 | |
| 10 | 26 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 39 | |
| 14 | 51 | |
| 15 | 19 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 104 | |
| 19 | 14 | |
| 20 | Regulation of type I insulin-like growth factor receptors in a clonal population of bovine mammary epithelial cells. | 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) and Animal Genetics and Reproduction (15 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.