T.H. Taylor

864 total citations
30 papers, 605 citations indexed

About

T.H. Taylor is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Reproductive Medicine. According to data from OpenAlex, T.H. Taylor has authored 30 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 18 papers in Pediatrics, Perinatology and Child Health and 13 papers in Reproductive Medicine. Recurrent topics in T.H. Taylor's work include Reproductive Biology and Fertility (19 papers), Prenatal Screening and Diagnostics (11 papers) and Assisted Reproductive Technology and Twin Pregnancy (11 papers). T.H. Taylor is often cited by papers focused on Reproductive Biology and Fertility (19 papers), Prenatal Screening and Diagnostics (11 papers) and Assisted Reproductive Technology and Twin Pregnancy (11 papers). T.H. Taylor collaborates with scholars based in United States, United Kingdom and Tunisia. T.H. Taylor's co-authors include Jennifer L. Patrick, Darren K. Griffin, Susan Gitlin, J.L. Crain, J.M. Wilson, Z.P. Nagy, Hilton I. Kort, Thomas Elliott, Dorothy Mitchell‐Leef and M.J. Glassner and has published in prestigious journals such as The FASEB Journal, Human Reproduction and Fertility and Sterility.

In The Last Decade

T.H. Taylor

29 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.H. Taylor United States 12 442 344 175 148 135 30 605
Jennifer L. Patrick United States 8 351 0.8× 255 0.7× 116 0.7× 132 0.9× 108 0.8× 15 473
N. Cekleniak United States 10 547 1.2× 445 1.3× 254 1.5× 192 1.3× 122 0.9× 22 727
Shala A Salem United States 7 491 1.1× 320 0.9× 133 0.8× 121 0.8× 119 0.9× 9 576
Nasser Al‐Asmar Spain 9 357 0.8× 252 0.7× 108 0.6× 113 0.8× 145 1.1× 10 485
Vanessa Peinado Spain 16 566 1.3× 326 0.9× 152 0.9× 241 1.6× 216 1.6× 22 719
Alison C. Peck United Kingdom 4 383 0.9× 227 0.7× 127 0.7× 118 0.8× 92 0.7× 5 482
M.J. Glassner United States 10 484 1.1× 460 1.3× 293 1.7× 161 1.1× 133 1.0× 29 788
Alessandra Ruberti Italy 8 602 1.4× 540 1.6× 263 1.5× 151 1.0× 176 1.3× 12 798
N.-N. Goodall United States 7 467 1.1× 227 0.7× 60 0.3× 223 1.5× 145 1.1× 14 548
Andrea R. Victor United States 11 499 1.1× 258 0.8× 65 0.4× 184 1.2× 152 1.1× 20 585

Countries citing papers authored by T.H. Taylor

Since Specialization
Citations

This map shows the geographic impact of T.H. Taylor'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 T.H. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.H. Taylor more than expected).

Fields of papers citing papers by T.H. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.H. Taylor. 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 T.H. Taylor. The network helps show where T.H. Taylor may publish in the future.

Co-authorship network of co-authors of T.H. Taylor

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

All Works

20 of 20 papers shown
1.
2.
Taylor, T.H., et al.. (2019). Preliminary assessment of aneuploidy rates between the polar, mid and mural trophectoderm. Zygote. 28(2). 93–96. 7 indexed citations
3.
Taylor, T.H., et al.. (2016). Technique to ‘Map' Chromosomal Mosaicism at the Blastocyst Stage. Cytogenetic and Genome Research. 149(4). 262–266. 11 indexed citations
4.
Taylor, T.H., Rod A. Wing, & Darren K. Griffin. (2015). A technique to “map” mosaicism at the blastocyst stage using comprehensive chromosome screening. Fertility and Sterility. 104(3). e274–e274. 1 indexed citations
5.
Taylor, T.H., Jennifer L. Patrick, Susan Gitlin, et al.. (2014). Blastocyst euploidy and implantation rates in a young (<35 years) and old (≥35 years) presumed fertile and infertile patient population. Fertility and Sterility. 102(5). 1318–1323. 12 indexed citations
6.
Taylor, T.H., Jennifer L. Patrick, Susan Gitlin, et al.. (2014). Outcomes of blastocysts biopsied and vitrified once versus those cryopreserved twice for euploid blastocyst transfer. Reproductive BioMedicine Online. 29(1). 59–64. 42 indexed citations
7.
Taylor, T.H., Susan Gitlin, Jennifer L. Patrick, et al.. (2014). The origin, mechanisms, incidence and clinical consequences of chromosomal mosaicism in humans. Human Reproduction Update. 20(4). 571–581. 289 indexed citations
8.
Taylor, T.H., Jennifer L. Patrick, Susan Gitlin, et al.. (2014). Comparison of aneuploidy, pregnancy and live birth rates between day 5 and day 6 blastocysts. Reproductive BioMedicine Online. 29(3). 305–310. 64 indexed citations
9.
Grifo, J., H. Danzer, T.H. Taylor, et al.. (2012). Idiopathic recurrent pregnancy loss is mostly caused by aneuploid embryos. Fertility and Sterility. 98(3). S53–S54. 5 indexed citations
10.
Munné, S., M. Surrey, J. Grifo, et al.. (2010). Preimplantation genetic diagnosis using array CGH significantly increases ongoing pregnancy rates per transfer. Fertility and Sterility. 94(4). S81–S81. 6 indexed citations
11.
Wininger, J. David, et al.. (2010). Pregnancy after rebiopsy and vitrification of blastocysts following allele dropout after day 3 biopsy. Fertility and Sterility. 95(3). 1122.e1–1122.e2. 7 indexed citations
12.
Taylor, T.H., et al.. (2010). The effects of different laser pulse lengths on the embryo biopsy procedure and embryo development to the blastocyst stage. Journal of Assisted Reproduction and Genetics. 27(11). 663–667. 23 indexed citations
13.
Taylor, T.H., et al.. (2010). The utility of embryo banking in order to increase the number of embryos available for preimplantation genetic screening in advanced maternal age patients. Journal of Assisted Reproduction and Genetics. 27(12). 729–733. 14 indexed citations
14.
Massaro, F. C., J.B.A. Oliveira, Antonino Nicoletti, et al.. (2008). Male fertility: clinical aspects. Human Reproduction. 23(Supplement 1). i217–i222. 1 indexed citations
15.
Taylor, T.H., et al.. (2008). Comparison of ICSI and conventional IVF in patients with increased oocyte immaturity. Reproductive BioMedicine Online. 17(1). 46–52. 21 indexed citations
16.
Elliott, Thomas, et al.. (2007). Lysed cell removal promotes frozen–thawed embryo development. Fertility and Sterility. 87(6). 1444–1449. 9 indexed citations
17.
18.
Nagy, Z.P., T.H. Taylor, Thomas Elliott, et al.. (2005). Removal of lysed blastomeres from frozen–thawed embryos improves implantation and pregnancy rates in frozen embryo transfer cycles. Fertility and Sterility. 84(6). 1606–1612. 21 indexed citations
19.
Elliott, Thomas, et al.. (2004). A high DFI score does not preclude patients from achieving a pregnancy with ICSI. Fertility and Sterility. 82. S47–S47. 1 indexed citations
20.
Andrews, Jay D. & T.H. Taylor. (1988). Monitoring blood composition shifts during hibernation of golden mantled ground squirrels spermophilus lateralis results from use of peritoneal dialysis. The FASEB Journal. 2(4). 3718. 2 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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