R. Kelly Moore
- Public Health, Environmental and Occupational Health top 1%
- Molecular Biology top 10%
- Reproductive Medicine top 1%
- Genetics top 5%
- Agronomy and Crop Science top 5%
- Co-authors
- Shunichi ShimasakiFumio OtsukaGregory F. EricksonWoo Sik LeeOsamu HashimotoWu Xiang LiaoShun-ichiro IemuraNaoto Ueno
- Topics
- Reproductive Biology and Fertility (12 papers)Renal and related cancers (7 papers)Pluripotent Stem Cells Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryEndocrine Reviews
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
R. Kelly Moore
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Public Health, Environmental and Occupational Health 1.2k
- Molecular Biology 1.0k
- Reproductive Medicine 453
- Genetics 384
- Agronomy and Crop Science 139
Countries citing papers authored by R. Kelly Moore
This map shows the geographic impact of R. Kelly Moore'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 R. Kelly Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Kelly Moore more than expected).
Fields of papers citing papers by R. Kelly Moore
This network shows the impact of papers produced by R. Kelly Moore. 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 R. Kelly Moore. The network helps show where R. Kelly Moore may publish in the future.
Co-authorship network of co-authors of R. Kelly Moore
This figure shows the co-authorship network connecting the top 25 collaborators of R. Kelly Moore. A scholar is included among the top collaborators of R. Kelly Moore 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 R. Kelly Moore. R. Kelly Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 111 | |
| 3 | 102 | |
| 4 | 73 | |
| 5 | 75 | |
| 6 | The Bone Morphogenetic Protein System In Mammalian Reproductionbreakdown → | 581 |
| 7 | 4 | |
| 8 | The role of bone morphogenetic proteins in ovarian function. | 85 |
| 9 | 203 | |
| 10 | 73 | |
| 11 | 176 | |
| 12 | 109 |
About R. Kelly Moore
R. Kelly Moore is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Rheumatology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Renal and related cancers (7 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Reproductive Medicine (453 citations), Public Health, Environmental and Occupational Health (1.2k citations) and Molecular Biology (1.0k citations). R. Kelly Moore has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Shunichi Shimasaki, Fumio Otsuka, Gregory F. Erickson, Woo Sik Lee, Osamu Hashimoto, Wu Xiang Liao, Shun-ichiro Iemura, Naoto Ueno, Xia Wang and Tomoko Miyoshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Endocrine Reviews.
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.