Ray Bahado‐Singh

7.1k total citations · 1 hit paper
184 papers, 4.6k citations indexed

About

Ray Bahado‐Singh is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Ray Bahado‐Singh has authored 184 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Pediatrics, Perinatology and Child Health, 71 papers in Obstetrics and Gynecology and 41 papers in Molecular Biology. Recurrent topics in Ray Bahado‐Singh's work include Prenatal Screening and Diagnostics (56 papers), Pregnancy and preeclampsia studies (42 papers) and Gestational Diabetes Research and Management (32 papers). Ray Bahado‐Singh is often cited by papers focused on Prenatal Screening and Diagnostics (56 papers), Pregnancy and preeclampsia studies (42 papers) and Gestational Diabetes Research and Management (32 papers). Ray Bahado‐Singh collaborates with scholars based in United States, Canada and United Kingdom. Ray Bahado‐Singh's co-authors include Joshua A. Copel, Utku Öz, Stewart F. Graham, Giancarlo Mari, Laura Detti, Maurice J. Mahoney, Onur Türkoğlu, Russell L. Deter, David S. Wishart and Özgür Deren and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Ray Bahado‐Singh

178 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Noninvasive Diagnosis by Doppler Ultrasonography of Fetal Anemia Due to Maternal Red-Cell Alloimmunization

2000 788 citations Giancarlo Mari, Utku Öz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ray Bahado‐Singh United States	37	2.6k	1.3k	867	790	617	184	4.6k
Nobuyuki Amino Japan	53	1.0k 0.4×	820 0.6×	1.7k 1.9×	178 0.2×	330 0.5×	363	11.6k
D. Wright United Kingdom	50	7.4k 2.9×	6.9k 5.2×	330 0.4×	874 1.1×	133 0.2×	140	10.1k
Geralyn Lambert‐Messerlian United States	43	4.1k 1.6×	1.7k 1.3×	1.5k 1.7×	1.4k 1.8×	39 0.1×	200	8.0k
Lawrence D. Devoe United States	33	1.7k 0.6×	1.0k 0.8×	621 0.7×	90 0.1×	91 0.1×	170	4.1k
Barna Vásárhelyi Hungary	32	626 0.2×	532 0.4×	457 0.5×	89 0.1×	211 0.3×	193	3.0k
Mario Schiffer Germany	41	436 0.2×	318 0.2×	2.3k 2.6×	115 0.1×	232 0.4×	246	7.0k
Carlo Romaninï Italy	43	2.1k 0.8×	2.4k 1.8×	295 0.3×	43 0.1×	137 0.2×	209	4.9k
Michel Polak France	52	1.3k 0.5×	232 0.2×	3.1k 3.5×	252 0.3×	72 0.1×	257	9.3k
Muthuvel Jayachandran United States	32	313 0.1×	465 0.3×	741 0.9×	158 0.2×	167 0.3×	90	2.8k
Holger Stepan Germany	44	4.2k 1.6×	5.5k 4.1×	679 0.8×	37 0.0×	128 0.2×	232	7.6k

Countries citing papers authored by Ray Bahado‐Singh

Since Specialization

Citations

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

Fields of papers citing papers by Ray Bahado‐Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray Bahado‐Singh. 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 Ray Bahado‐Singh. The network helps show where Ray Bahado‐Singh may publish in the future.

Co-authorship network of co-authors of Ray Bahado‐Singh

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

All Works

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20 of 20 papers shown

Radhakrishna, Uppala, Rupa Radhakrishnan, Srinivas B. Muvvala, et al.. (2024). Prenatal opioid exposure significantly impacts placental protein kinase C (PKC) and drug transporters, leading to drug resistance and neonatal opioid withdrawal syndrome. Frontiers in Neuroscience. 18. 1442915–1442915. 2 indexed citations

Türkoğlu, Onur, et al.. (2023). Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood. Metabolomics. 19(4). 41–41. 3 indexed citations

Radhakrishna, Uppala, Swapan K. Nath, Avinash M. Veerappa, et al.. (2023). Placental microRNA methylome signatures may serve as biomarkers and therapeutic targets for prenatally opioid-exposed infants with neonatal opioid withdrawal syndrome. Frontiers in Genetics. 14. 1215472–1215472. 3 indexed citations

Jackson, Frank I., et al.. (2023). Preterm prelabor rupture of membranes in singletons: maternal and neonatal outcomes. Journal of Perinatal Medicine. 51(6). 787–791. 3 indexed citations

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Onur Türkoğlu, Stewart F. Graham, & Uppala Radhakrishna. (2023). Alzheimer’s Precision Neurology: Epigenetics of Cytochrome P450 Genes in Circulating Cell-Free DNA for Disease Prediction and Mechanism. International Journal of Molecular Sciences. 24(3). 2876–2876. 15 indexed citations

Yılmaz, Ali, Zafer Ugur, Halil Bişğin, et al.. (2020). Targeted Metabolic Profiling of Urine Highlights a Potential Biomarker Panel for the Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment: A Pilot Study. Metabolites. 10(9). 357–357. 46 indexed citations

Bahado‐Singh, Ray, Sangeetha Vishweswaraiah, Buket Aydas, et al.. (2020). Precision cardiovascular medicine: artificial intelligence and epigenetics for the pathogenesis and prediction of coarctation in neonates. The Journal of Maternal-Fetal & Neonatal Medicine. 35(3). 457–464. 30 indexed citations

Türkoğlu, Onur, İsmail Mert, Praveen Kumar, et al.. (2019). Metabolomic identification of novel diagnostic biomarkers in ectopic pregnancy. Metabolomics. 15(11). 143–143. 9 indexed citations

Bahado‐Singh, Ray, Argyro Syngelaki, Rupsari Mandal, et al.. (2018). First-trimester metabolomic prediction of stillbirth. The Journal of Maternal-Fetal & Neonatal Medicine. 32(20). 3435–3441. 7 indexed citations

10.

Graham, Stewart F., Praveen Kumar, Trent C. Bjorndahl, et al.. (2016). Metabolic signatures of Huntington's disease (HD): 1 H NMR analysis of the polar metabolome in post-mortem human brain. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1675–1684. 40 indexed citations

11.

Vilchez, Gustavo, et al.. (2013). Maternal race and neonatal outcomes after elective repeat cesarean delivery. The Journal of Maternal-Fetal & Neonatal Medicine. 27(4). 368–371. 8 indexed citations

12.

Bahado‐Singh, Ray & Luís F. Gonçalves. (2013). Techniques, terminology, and indications for MRI in pregnancy. Seminars in Perinatology. 37(5). 334–339. 16 indexed citations

13.

Bahado‐Singh, Ray, Lisa Mele, Mark B. Landon, et al.. (2012). Fetal male gender and the benefits of treatment of mild gestational diabetes mellitus. American Journal of Obstetrics and Gynecology. 206(5). 422.e1–422.e5. 24 indexed citations

14.

Imudia, Anthony N., et al.. (2009). Racial Disparity in the Clinical Determinants and Outcomes of Cesarean Hysterectomy. Journal of the National Medical Association. 101(6). 565–568. 2 indexed citations

15.

Bahado‐Singh, Ray, Ronald J. Wapner, Elizabeth Thom, et al.. (2005). Elevated first-trimester nuchal translucency increases the risk of congenital heart defects. American Journal of Obstetrics and Gynecology. 192(5). 1357–1361. 67 indexed citations

16.

Cosmi, Erich, Giancarlo Mari, Loredana Delle Chiaie, et al.. (2002). Noninvasive diagnosis by Doppler ultrasonography of fetal anemia resulting from parvovirus infection. American Journal of Obstetrics and Gynecology. 187(5). 1290–1293. 113 indexed citations

17.

Deren, Özgür, et al.. (2001). The effect of steroids on the biophysical profile and Doppler indices of umbilical and middle cerebral arteries in healthy preterm fetuses. European Journal of Obstetrics & Gynecology and Reproductive Biology. 99(1). 72–76. 31 indexed citations

18.

Bahado‐Singh, Ray, et al.. (1999). Elevated maternal urine level of β-core fragment of human chorionic gonadotropin versus serum triple test in the second-trimester detection of Down syndrome. American Journal of Obstetrics and Gynecology. 181(4). 929–933. 9 indexed citations

19.

Bahado‐Singh, Ray, Utku Öz, Ertuğ Kovanci, et al.. (1998). New triple screen test for Down syndrome: Combined urine analytes and serum AFP. The Journal of Maternal-Fetal Medicine. 7(3). 111–114. 6 indexed citations

20.

Bahado‐Singh, Ray, Lauren Lynch, Özgür Deren, et al.. (1997). First-trimester growth restriction and fetal aneuploidy: The effect of type of aneuploidy and gestational age. American Journal of Obstetrics and Gynecology. 176(5). 976–980. 43 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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