DJ Phillips
Impact in
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- TGF-β signaling in diseases
- Bone Metabolism and Diseases
- Kruppel-like factors research
- Metabolism, Diabetes, and Cancer
- Renal and related cancers
Papers in
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- TGF-β signaling in diseases 6
- Metabolism, Diabetes, and Cancer 3
- Bone Metabolism and Diseases 2
- Kruppel-like factors research 1
- Connective Tissue Growth Factor Research 1
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- Phytoestrogen effects and research 2
- Co-authors
- DM de Kretser (4 shared papers)Mark P. Hedger (2 shared papers)Morrison (1 shared paper)Iain J. Clarke (1 shared paper)Jean‐Pierre Y. Scheerlinck (1 shared paper)Anne E. O’Connor (1 shared paper)Leslie A. McClure (1 shared paper)G. Jenkin (1 shared paper)
- Journals
- Journal of Endocrinology (7 papers)Reproduction (1 paper)Reproduction Fertility and Development (1 paper)
- Partner nations
- AustraliaUnited StatesMalaysia
In The Last Decade
DJ Phillips
9 papers receiving 318 citations
Peers
Comparison fields: 5 of 63
- Reproductive Medicine 32
- Molecular Biology 210
- Obstetrics and Gynecology 19
- Agronomy and Crop Science 23
- Public Health, Environmental and Occupational Health 65
Countries citing papers authored by DJ Phillips
This map shows the geographic impact of DJ Phillips'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 DJ Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DJ Phillips more than expected).
Fields of papers citing papers by DJ Phillips
This network shows the impact of papers produced by DJ Phillips. 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 DJ Phillips. The network helps show where DJ Phillips may publish in the future.
Co-authors
The 11 scholars most cited alongside DJ Phillips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 92 | |
| 2 | 2004 | 61 | |
| 3 | 1999 | 58 | |
| 4 | 1997 | 28 | |
| 5 | 2005 | 24 | |
| 6 | 1999 | 20 | |
| 7 | 1998 | 17 | |
| 8 | 2004 | 14 | |
| 9 | 1993 | 9 |
About DJ Phillips
DJ Phillips is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 9 papers that have together received 323 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Phytoestrogen effects and research (2 papers), Bone Metabolism and Diseases (2 papers), Kruppel-like factors research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Reproductive Physiology in Livestock (1 paper) and Connective Tissue Growth Factor Research (1 paper). The work is most often cited by research in Reproductive Medicine (32 citations), Molecular Biology (210 citations), Obstetrics and Gynecology (19 citations), Agronomy and Crop Science (23 citations) and Public Health, Environmental and Occupational Health (65 citations). DJ Phillips has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include DM de Kretser, Mark P. Hedger, Morrison, Iain J. Clarke, Jean‐Pierre Y. Scheerlinck, Anne E. O’Connor, Leslie A. McClure, G. Jenkin, David W. Walker and A. Pfeffer. Their work appears in journals such as Journal of Endocrinology, Reproduction and Reproduction Fertility 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.