Darlene C. Deecher
- Molecular Biology
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Reproductive Medicine top 2%
- Co-authors
- Donald E. FrailTerrance H. AndreeKathleen M. DorriesPanayiotis E. StevisDavid M. SoderlundGrace H. JohnstonLee E. SchechterPeter D. Alfinito
- Topics
- Estrogen and related hormone effects (18 papers)Receptor Mechanisms and Signaling (12 papers)Hypothalamic control of reproductive hormones (10 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Darlene C. Deecher
55 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 636
- Genetics 601
- Cellular and Molecular Neuroscience 528
- Endocrinology, Diabetes and Metabolism 496
- Reproductive Medicine 347
Countries citing papers authored by Darlene C. Deecher
This map shows the geographic impact of Darlene C. Deecher'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 Darlene C. Deecher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darlene C. Deecher more than expected).
Fields of papers citing papers by Darlene C. Deecher
This network shows the impact of papers produced by Darlene C. Deecher. 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 Darlene C. Deecher. The network helps show where Darlene C. Deecher may publish in the future.
Co-authorship network of co-authors of Darlene C. Deecher
This figure shows the co-authorship network connecting the top 25 collaborators of Darlene C. Deecher. A scholar is included among the top collaborators of Darlene C. Deecher 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 Darlene C. Deecher. Darlene C. Deecher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 12 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 18 | |
| 6 | 31 | |
| 7 | 51 | |
| 8 | 48 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 42 | |
| 12 | 1 | |
| 13 | 39 | |
| 14 | 31 | |
| 15 | 17 | |
| 16 | 68 | |
| 17 | 13 | |
| 18 | 87 | |
| 19 | 19 | |
| 20 | 26 |
About Darlene C. Deecher
Darlene C. Deecher is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (18 papers), Receptor Mechanisms and Signaling (12 papers) and Hypothalamic control of reproductive hormones (10 papers). The work is most often cited by research in Behavioral Neuroscience (185 citations), Reproductive Medicine (347 citations) and Biological Psychiatry (81 citations). Darlene C. Deecher has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Donald E. Frail, Terrance H. Andree, Kathleen M. Dorries, Panayiotis E. Stevis, David M. Soderlund, Grace H. Johnston, Lee E. Schechter, Peter D. Alfinito, Scott Cosmi and Jenifer A. Bray. Their work appears in journals such as Diabetes, Analytical Biochemistry and Brain Research.
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.