Rose E. Gaines Das
- Molecular Biology
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism top 10%
- Immunology
- Physiology
- Co-authors
- I. MacIntyreAdam BalenM. RoseStephen PooleDorothea SesardicTheresa EkongTimothy ChambersJ. Beacham
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Ovarian function and disorders (3 papers)Statistical Methods in Clinical Trials (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrinology, Diabetes and MetabolismReproductive Medicine
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Rose E. Gaines Das
28 papers receiving 618 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 240
- Cellular and Molecular Neuroscience 122
- Endocrinology, Diabetes and Metabolism 109
- Immunology 87
- Physiology 84
Countries citing papers authored by Rose E. Gaines Das
This map shows the geographic impact of Rose E. Gaines Das'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 Rose E. Gaines Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rose E. Gaines Das more than expected).
Fields of papers citing papers by Rose E. Gaines Das
This network shows the impact of papers produced by Rose E. Gaines Das. 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 Rose E. Gaines Das. The network helps show where Rose E. Gaines Das may publish in the future.
Co-authorship network of co-authors of Rose E. Gaines Das
This figure shows the co-authorship network connecting the top 25 collaborators of Rose E. Gaines Das. A scholar is included among the top collaborators of Rose E. Gaines Das 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 Rose E. Gaines Das. Rose E. Gaines Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 38 | |
| 3 | 16 | |
| 4 | 64 | |
| 5 | 4 | |
| 6 | 36 | |
| 7 | 63 | |
| 8 | 57 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 73 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 37 | |
| 15 | 69 | |
| 16 | 1 | |
| 17 | 21 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 18 |
About Rose E. Gaines Das
Rose E. Gaines Das is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability and Reproductive Medicine, having authored 28 papers that have together received 645 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Ovarian function and disorders (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (122 citations), Endocrinology, Diabetes and Metabolism (109 citations) and Reproductive Medicine (55 citations). Rose E. Gaines Das has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include I. MacIntyre, Adam Balen, M. Rose, Stephen Poole, Dorothea Sesardic, Theresa Ekong, Timothy Chambers, J. Beacham, Mone Zaidi and Peter J.R. Bevis. Their work appears in journals such as Nature, Endocrine Reviews and Journal of Pharmaceutical Sciences.
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.