Deborah Goodman‐Gruen
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Pathology and Forensic Medicine top 5%
- Genetics top 5%
- Molecular Biology
- Co-authors
- Elizabeth Barrett‐ConnorDonna Kritz‐SilversteinElizabeth Barrett-ConnorDeborah L. WingardEdward CastilloDeborah J. MortonJoanne H. E. PromislowE. Barrett-Connor
- Topics
- Hormonal and reproductive studies (8 papers)Menopause: Health Impacts and Treatments (5 papers)Cancer Risks and Factors (4 papers)
- Partner nations
- United States
In The Last Decade
Deborah Goodman‐Gruen
23 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 102
- Endocrinology, Diabetes and Metabolism 962
- Physiology 490
- Pathology and Forensic Medicine 368
- Genetics 358
- Molecular Biology 302
Countries citing papers authored by Deborah Goodman‐Gruen
This map shows the geographic impact of Deborah Goodman‐Gruen'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 Deborah Goodman‐Gruen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Goodman‐Gruen more than expected).
Fields of papers citing papers by Deborah Goodman‐Gruen
This network shows the impact of papers produced by Deborah Goodman‐Gruen. 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 Deborah Goodman‐Gruen. The network helps show where Deborah Goodman‐Gruen may publish in the future.
Co-authorship network of co-authors of Deborah Goodman‐Gruen
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Goodman‐Gruen. A scholar is included among the top collaborators of Deborah Goodman‐Gruen 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 Deborah Goodman‐Gruen. Deborah Goodman‐Gruen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 102 | |
| 2 | 5 | |
| 3 | 238 | |
| 4 | 52 | |
| 5 | 3 | |
| 6 | 47 | |
| 7 | 75 | |
| 8 | 22 | |
| 9 | 185 | |
| 10 | 64 | |
| 11 | 25 | |
| 12 | 170 | |
| 13 | 107 | |
| 14 | 275 | |
| 15 | 44 | |
| 16 | 43 | |
| 17 | 49 | |
| 18 | 132 | |
| 19 | Total but not bioavailable testosterone is a predictor of central adiposity in postmenopausal women. | 22 |
| 20 | 98 |
About Deborah Goodman‐Gruen
Deborah Goodman‐Gruen is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (8 papers), Menopause: Health Impacts and Treatments (5 papers) and Cancer Risks and Factors (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (962 citations), Behavioral Neuroscience (161 citations) and Reproductive Medicine (257 citations). Deborah Goodman‐Gruen has collaborated with scholars based in United States. Frequent co-authors include Elizabeth Barrett‐Connor, Donna Kritz‐Silverstein, Elizabeth Barrett-Connor, Deborah L. Wingard, Edward Castillo, Deborah J. Morton, Joanne H. E. Promislow, E. Barrett-Connor, Donald J. Slymen and Kathryn Hollenbach. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.