Randy S. Morris

1.7k total citations
38 papers, 1.1k citations indexed

About

Randy S. Morris is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Randy S. Morris has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Reproductive Medicine, 18 papers in Pediatrics, Perinatology and Child Health and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Randy S. Morris's work include Ovarian function and disorders (18 papers), Reproductive Biology and Fertility (14 papers) and Assisted Reproductive Technology and Twin Pregnancy (12 papers). Randy S. Morris is often cited by papers focused on Ovarian function and disorders (18 papers), Reproductive Biology and Fertility (14 papers) and Assisted Reproductive Technology and Twin Pregnancy (12 papers). Randy S. Morris collaborates with scholars based in United States and Italy. Randy S. Morris's co-authors include Richard J. Paulson, Norbert Gleicher, Rogerio A. Løbo, Vishvanath Karande, Yury Verlinsky, John S. Rinehart, Frank Z. Stanczyk, Mark V. Sauer, Anver Kuliev and Ramaa Rao and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Human Reproduction.

In The Last Decade

Randy S. Morris

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Randy S. Morris United States 20 665 502 467 146 122 38 1.1k
Y. Englert Belgium 12 419 0.6× 378 0.8× 288 0.6× 61 0.4× 165 1.4× 21 751
D. Lolis Greece 20 506 0.8× 435 0.9× 260 0.6× 92 0.6× 297 2.4× 85 1.2k
Kayo Katayama United States 14 793 1.2× 686 1.4× 488 1.0× 113 0.8× 128 1.0× 38 1.5k
Harry H. Hatasaka United States 18 773 1.2× 676 1.3× 293 0.6× 49 0.3× 163 1.3× 49 1.2k
Z Palti Israel 19 353 0.5× 373 0.7× 247 0.5× 184 1.3× 216 1.8× 81 1.1k
Daniel Kenigsberg United States 14 490 0.7× 310 0.6× 161 0.3× 131 0.9× 48 0.4× 23 803
Jane MacDougall United Kingdom 12 285 0.4× 382 0.8× 174 0.4× 198 1.4× 121 1.0× 24 911
Thierry D. Pache Netherlands 17 1.0k 1.5× 884 1.8× 157 0.3× 174 1.2× 51 0.4× 22 1.2k
Ariel Milwidsky Israel 18 244 0.4× 336 0.7× 189 0.4× 120 0.8× 216 1.8× 60 948
Avner Hershlag United States 25 1.0k 1.5× 827 1.6× 405 0.9× 77 0.5× 78 0.6× 84 1.7k

Countries citing papers authored by Randy S. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Randy S. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randy S. Morris. 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 Randy S. Morris. The network helps show where Randy S. Morris may publish in the future.

Co-authorship network of co-authors of Randy S. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Randy S. Morris. A scholar is included among the top collaborators of Randy S. Morris 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 Randy S. Morris. Randy S. Morris 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.
Morris, Randy S.. (2021). SARS-CoV-2 spike protein seropositivity from vaccination or infection does not cause sterility. F&S Reports. 2(3). 253–255. 58 indexed citations
2.
Morris, Randy S., et al.. (2021). EXPOSURE OF OVARIES TO COVID-19 VACCINATION DOES NOT IMPAIR FERTILITY. Fertility and Sterility. 116(3). e473–e473. 6 indexed citations
3.
Schinfeld, Jay S., Fady I. Sharara, Randy S. Morris, et al.. (2018). Cap‐Score™ prospectively predicts probability of pregnancy. Molecular Reproduction and Development. 85(8-9). 654–664. 18 indexed citations
4.
Tur-Kaspa, Ilan, et al.. (2006). Multiple micromanipulations for preimplantation genetic diagnosis do not affect embryo development to the blastocyst stage. Fertility and Sterility. 85(6). 1826–1829. 37 indexed citations
5.
Verlinsky, Yury, Ilan Tur-Kaspa, J. Cieslak, et al.. (2005). Preimplantation testing for chromosomal disorders improves reproductive outcome of poor-prognosis patients. Reproductive BioMedicine Online. 11(2). 219–225. 112 indexed citations
6.
Verlinsky, Yury, Svetlana Rechitsky, J. Cieslak, et al.. (2005). Accuracy and Outcomes of 3631 Preimplantation Genetic Diagnosis (PGD) Cycles Performed in One Center. Fertility and Sterility. 84. S98–S98. 4 indexed citations
7.
Verlinsky, Yury, Svetlana Rechitsky, Oleg Verlinsky, et al.. (2003). Preimplantation Diagnosis for Sonic Hedgehog Mutation Causing Familial Holoprosencephaly. New England Journal of Medicine. 348(15). 1449–1454. 22 indexed citations
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10.
Karande, Vishvanath, Randy S. Morris, John S. Rinehart, et al.. (1997). Limited success using the “flare” protocol in poor responders in cycles with low basal follicle-stimulating hormone levels during in vitro fertilization. Fertility and Sterility. 67(5). 900–903. 55 indexed citations
11.
Karande, Vishvanath, et al.. (1997). What is the radiation exposure to patients during a gynecoradiologic procedure?. Fertility and Sterility. 67(2). 401–403. 20 indexed citations
12.
Gleicher, Norbert, et al.. (1996). Infertility treatment dropout and insurance coverage. Obstetrics and Gynecology. 88(2). 289–293. 24 indexed citations
13.
Morris, Randy S., Richard J. Paulson, Steven R. Lindheim, et al.. (1995). Angiotensin-converting enzyme inhibition reverses luteal phase steroid production in oocyte donors. Fertility and Sterility. 63(4). 854–858. 16 indexed citations
14.
Morris, Randy S., Richard J. Paulson, Mark V. Sauer, & R Lobo. (1995). Endocrinology: Predictive value of serum oestradiol concentrations and oocyte number in severe ovarian hyperstimulation syndrome. Human Reproduction. 10(4). 811–814. 60 indexed citations
15.
Morris, Randy S., et al.. (1995). Conservative management of ovarian hyperstimulation syndrome.. PubMed. 40(10). 711–4. 19 indexed citations
16.
Morris, Randy S., et al.. (1995). Prorenin is elevated in polycystic ovary syndrome and may reflect hyperandrogenism. Fertility and Sterility. 64(6). 1099–1103. 19 indexed citations
17.
Morris, Randy S., et al.. (1995). Endocrinology: Isolated polycystic morphology in ovum donors predicts response to ovarian stimulation*. Human Reproduction. 10(3). 524–528. 19 indexed citations
18.
Karande, Vishvanath, Ramaa Rao, Donna Pratt, et al.. (1995). A randomized prospective comparison between intrauterine insemination and fallopian sperm perfusion for the treatment of infertility. Fertility and Sterility. 64(3). 638–640. 27 indexed citations
19.
Morris, Randy S., et al.. (1995). Endocrinology: Inhibition of ovarian-derived prorenin to angiotensin cascade in the treatment of ovarian hyperstimulation syndrome. Human Reproduction. 10(6). 1355–1358. 47 indexed citations
20.
Wallach, Edward E., Randy S. Morris, & Richard J. Paulson. (1994). Ovarian derived prorenin-angiotensin cascade in human reproduction. Fertility and Sterility. 62(6). 1105–1114. 22 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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