D. Feil

713 total citations
9 papers, 547 citations indexed

About

D. Feil is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, D. Feil has authored 9 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Molecular Biology. Recurrent topics in D. Feil's work include Reproductive Biology and Fertility (6 papers), Renal and related cancers (3 papers) and Ovarian function and disorders (2 papers). D. Feil is often cited by papers focused on Reproductive Biology and Fertility (6 papers), Renal and related cancers (3 papers) and Ovarian function and disorders (2 papers). D. Feil collaborates with scholars based in Australia and Malaysia. D. Feil's co-authors include Michelle Lane, Jeremy G. Thompson, Kylie R. Dunning, Darryl L. Russell, Melanie L. Sutton‐McDowall, Hassan W. Bakos, Rebecca L. Robker, Richard C. Henshaw, Claire T. Roberts and Rebecca L. Kelley and has published in prestigious journals such as The Journal of Physiology, Human Reproduction and Fertility and Sterility.

In The Last Decade

D. Feil

9 papers receiving 535 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Feil Australia 8 449 262 203 177 52 9 547
Petra L. Wale Australia 6 565 1.3× 240 0.9× 322 1.6× 340 1.9× 56 1.1× 7 710
R.J. Partridge United Kingdom 7 342 0.8× 139 0.5× 187 0.9× 128 0.7× 77 1.5× 7 435
D Turchi Brazil 3 386 0.9× 217 0.8× 173 0.9× 126 0.7× 44 0.8× 3 475
Junji Kishi Japan 6 308 0.7× 182 0.7× 152 0.7× 81 0.5× 71 1.4× 11 415
Paola Novara Italy 12 806 1.8× 549 2.1× 300 1.5× 307 1.7× 60 1.2× 21 964
Rebecca L. Kelley Australia 9 244 0.5× 114 0.4× 145 0.7× 129 0.7× 37 0.7× 16 358
M. L. Pisaturo Italy 3 328 0.7× 153 0.6× 203 1.0× 164 0.9× 23 0.4× 12 436
Joohyeong Lee South Korea 12 333 0.7× 179 0.7× 239 1.2× 61 0.3× 82 1.6× 54 486
Zaloa Larreategui Spain 10 347 0.8× 262 1.0× 110 0.5× 219 1.2× 25 0.5× 27 464
Hiroya Goto Japan 8 346 0.8× 131 0.5× 190 0.9× 142 0.8× 32 0.6× 8 442

Countries citing papers authored by D. Feil

Since Specialization
Citations

This map shows the geographic impact of D. Feil'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 D. Feil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Feil more than expected).

Fields of papers citing papers by D. Feil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Feil. 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 D. Feil. The network helps show where D. Feil may publish in the future.

Co-authorship network of co-authors of D. Feil

This figure shows the co-authorship network connecting the top 25 collaborators of D. Feil. A scholar is included among the top collaborators of D. Feil 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 D. Feil. D. Feil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ritter, Lesley J., D. Feil, Karen Chan, et al.. (2014). Effects of differing oocyte-secreted factors during mouse in vitro maturation on subsequent embryo and fetal development. Journal of Assisted Reproduction and Genetics. 31(3). 295–306. 45 indexed citations
2.
Sutton‐McDowall, Melanie L., D. Feil, Rebecca L. Robker, Jeremy G. Thompson, & Kylie R. Dunning. (2012). Utilization of endogenous fatty acid stores for energy production in bovine preimplantation embryos. Theriogenology. 77(8). 1632–1641. 100 indexed citations
3.
Sutton‐McDowall, Melanie L., et al.. (2012). Effect of varying glucose and glucosamine concentration in vitro on mouse oocyte maturation and developmental competence. Reproduction Fertility and Development. 25(8). 1095–1104. 11 indexed citations
4.
Feil, D., et al.. (2011). Human cumulus cell gene expression as a biomarker of pregnancy outcome after single embryo transfer. Fertility and Sterility. 96(1). 47–52.e2. 143 indexed citations
5.
Hull, M. Louise, Dávid Németh, William M. Hague, et al.. (2009). Mitochondrial fatty acid transport enzyme deficiency—implications for in vitro fertilization. Fertility and Sterility. 91(6). 2732.e11–2732.e14. 3 indexed citations
6.
Feil, D., Richard C. Henshaw, & Michelle Lane. (2008). Day 4 embryo selection is equal to Day 5 using a new embryo scoring system validated in single embryo transfers. Human Reproduction. 23(7). 1505–1510. 46 indexed citations
7.
Bakos, Hassan W., Jeremy G. Thompson, D. Feil, & Michelle Lane. (2007). Sperm DNA damage is associated with assisted reproductive technology pregnancy. International Journal of Andrology. 31(5). 518–526. 84 indexed citations
8.
Lane, Michelle, Megan Mitchell, Kara Cashman, et al.. (2007). To QC or not to QC: the key to a consistent laboratory?. Reproduction Fertility and Development. 20(1). 23–32. 46 indexed citations
9.
Feil, D., Michelle Lane, Claire T. Roberts, et al.. (2006). Effect of culturing mouse embryos under different oxygen concentrations on subsequent fetal and placental development. The Journal of Physiology. 572(1). 87–96. 69 indexed citations

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.

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