J. Stelling

570 total citations
20 papers, 369 citations indexed

About

J. Stelling is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, J. Stelling has authored 20 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 11 papers in Pediatrics, Perinatology and Child Health and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in J. Stelling's work include Reproductive Health and Technologies (8 papers), Reproductive Biology and Fertility (6 papers) and Prenatal Screening and Diagnostics (6 papers). J. Stelling is often cited by papers focused on Reproductive Health and Technologies (8 papers), Reproductive Biology and Fertility (6 papers) and Prenatal Screening and Diagnostics (6 papers). J. Stelling collaborates with scholars based in United States and Spain. J. Stelling's co-authors include Lisa M. Pastore, Mindy S. Christianson, James H. Segars, W.G. Kearns, Marci Lobel, Richard H. Reindollar, Ann J. Davis, Mark R. Gray, Lisa R. Rubin and Jennifer Nicoloro‐SantaBarbara and has published in prestigious journals such as Social Forces, Fertility and Sterility and Reproductive BioMedicine Online.

In The Last Decade

J. Stelling

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Stelling United States 8 193 141 140 69 61 20 369
AH Balen United Kingdom 8 322 1.7× 97 0.7× 260 1.9× 48 0.7× 61 1.0× 10 431
P. G. A. Hompes Netherlands 7 290 1.5× 125 0.9× 203 1.4× 62 0.9× 80 1.3× 13 449
Jørgen Glenn Lauritsen Denmark 11 193 1.0× 237 1.7× 196 1.4× 74 1.1× 73 1.2× 15 462
N. Kanakas Greece 10 355 1.8× 59 0.4× 223 1.6× 105 1.5× 59 1.0× 24 481
T Spinder Netherlands 11 248 1.3× 69 0.5× 206 1.5× 42 0.6× 122 2.0× 14 446
Beth J. Plante United States 7 247 1.3× 48 0.3× 160 1.1× 87 1.3× 58 1.0× 14 357
Heather Mellows United Kingdom 5 245 1.3× 61 0.4× 134 1.0× 47 0.7× 61 1.0× 8 360
Y.M. van Kasteren Netherlands 8 271 1.4× 121 0.9× 206 1.5× 94 1.4× 33 0.5× 11 451
Tarek K. Al‐Hussaini Egypt 12 210 1.1× 215 1.5× 345 2.5× 95 1.4× 129 2.1× 27 558
Robert Ochsenkühn Germany 12 203 1.1× 177 1.3× 211 1.5× 67 1.0× 57 0.9× 19 443

Countries citing papers authored by J. Stelling

Since Specialization
Citations

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

Fields of papers citing papers by J. Stelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Stelling

This figure shows the co-authorship network connecting the top 25 collaborators of J. Stelling. A scholar is included among the top collaborators of J. Stelling 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 J. Stelling. J. Stelling 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.
Pastore, Lisa M., Lisa R. Rubin, Jennifer Nicoloro‐SantaBarbara, J. Stelling, & Marci Lobel. (2020). Initial psychometric analysis of novel instruments to assess decisional distress and decisional uncertainty in women who have considered using preimplantation genetic testing. Prenatal Diagnosis. 40(10). 1220–1227. 2 indexed citations
2.
Pastore, Lisa M., et al.. (2018). Navigating preimplantation genetic testing decisions in the age of social media: a qualitative study. Fertility and Sterility. 110(4). e146–e146. 4 indexed citations
3.
Stelling, J., et al.. (2018). The increased cost of success of IVF in obese women. Fertility and Sterility. 110(4). e121–e121.
4.
Nicoloro‐SantaBarbara, Jennifer, Marci Lobel, Silvina Bocca, J. Stelling, & Lisa M. Pastore. (2017). Psychological and emotional concomitants of infertility diagnosis in women with diminished ovarian reserve or anatomical cause of infertility. Fertility and Sterility. 108(1). 161–167. 30 indexed citations
5.
Pastore, Lisa M., Mindy S. Christianson, J. Stelling, W.G. Kearns, & James H. Segars. (2017). Reproductive ovarian testing and the alphabet soup of diagnoses: DOR, POI, POF, POR, and FOR. Journal of Assisted Reproduction and Genetics. 35(1). 17–23. 145 indexed citations
6.
Stelling, J., et al.. (2017). Vitamin D levels and IVF outcomes in women of different ethnic groups. Fertility and Sterility. 108(3). e118–e118. 1 indexed citations
7.
Rubin, Lisa R., et al.. (2017). Review of patient decision‐making factors and attitudes regarding preimplantation genetic diagnosis. Clinical Genetics. 94(1). 22–42. 39 indexed citations
8.
Walker, Elizabeth Reisinger, et al.. (2017). The Impact of Genetic Carrier Testing in Reproductive Decision-Making: FMR1 Testing in Women With Diminished Ovarian Reserve. Digital Commons - East Tennessee State University (East Tennessee State University). 5(1). 3 indexed citations
9.
Barrionuevo, Marcelo, et al.. (2015). PGD via ACGH for translocations: a review of cycle outcomes. Fertility and Sterility. 104(3). e75–e75.
10.
11.
Ballas, Jerasimos, et al.. (2008). Cabergoline decreases the risk of ovarian hyperstimulation syndrome and has no effect on pregnancy rate during in vitro fertilization. Fertility and Sterility. 90. S237–S237. 2 indexed citations
12.
Munné, S., Tomás Escudero, J. Fischer, et al.. (2005). Negligible interchromosomal effect in embryos of Robertsonian translocation carriers. Reproductive BioMedicine Online. 10(3). 363–369. 28 indexed citations
13.
Stelling, J., et al.. (2003). Subcutaneous versus intramuscular administration of human chorionic gonadotropin during an in vitro fertilization cycle. Fertility and Sterility. 79(4). 881–885. 15 indexed citations
14.
Tucker, Michael, et al.. (2003). Laser assisted hatching is comparable to chemical assisted hatching of human embryos. Fertility and Sterility. 80. 296–296. 2 indexed citations
15.
Tucker, Michael, et al.. (2003). Comparison of laser assisted hatching to chemical assisted hatching for embro biopsy. Fertility and Sterility. 80. 193–194. 1 indexed citations
16.
Stelling, J., et al.. (2001). Role for anti-M�llerian hormone in congenital absence of the uterus and vagina. American Journal of Medical Genetics. 98(2). 129–136. 34 indexed citations
17.
Stelling, J., Mark R. Gray, Ann J. Davis, Janet M. Cowan, & Richard H. Reindollar. (2000). Dominant transmission of imperforate hymen. Fertility and Sterility. 74(6). 1241–1244. 30 indexed citations
18.
Bhagavath, Bala, et al.. (1998). Congenital absence of the uterus and vagina (CAUV) is not associated with the N314D allele of the Galactose-1-Phosphate Uridyl Transferase (GALT) gene. Journal of the Society for Gynecologic Investigation. 5(1). 140A–140A. 7 indexed citations
19.
Stelling, J., et al.. (1996). Endometriosis: An Enigmatic Disease. Journal of women's health. 5(2). 111–120. 6 indexed citations
20.
Stelling, J., et al.. (1969). Differential Prior Socialization: A Comparison of Four Professional Training Programs. Social Forces. 48(2). 213–223. 19 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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