Chaim Jalas

4.4k total citations · 1 hit paper
60 papers, 1.7k citations indexed

About

Chaim Jalas is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics. According to data from OpenAlex, Chaim Jalas has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pediatrics, Perinatology and Child Health, 26 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Chaim Jalas's work include Prenatal Screening and Diagnostics (26 papers), Genomic variations and chromosomal abnormalities (14 papers) and Genetic Syndromes and Imprinting (8 papers). Chaim Jalas is often cited by papers focused on Prenatal Screening and Diagnostics (26 papers), Genomic variations and chromosomal abnormalities (14 papers) and Genetic Syndromes and Imprinting (8 papers). Chaim Jalas collaborates with scholars based in United States, Israel and Italy. Chaim Jalas's co-authors include Orly Elpeleg, Simon Edvardson, Avraham Shaag, Richard T. Scott, Nathan R. Treff, Yuval Cinnamon, Xin Tao, Anastasia Fedick, Emre Seli and Shamir Zenvirt and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Chaim Jalas

58 papers receiving 1.6k citations

Hit Papers

A multicenter, prospective, blinded, nonselection study e... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaim Jalas United States 23 724 475 375 240 231 60 1.7k
Sharon Zeligson Israel 19 731 1.0× 166 0.3× 281 0.7× 122 0.5× 77 0.3× 41 1.3k
Nadine Gigarel France 18 1.8k 2.5× 248 0.5× 282 0.8× 55 0.2× 100 0.4× 39 2.2k
Shamir Zenvirt Israel 16 618 0.9× 109 0.2× 367 1.0× 46 0.2× 173 0.7× 22 1.2k
Frans W. Verheijen Netherlands 25 850 1.2× 197 0.4× 300 0.8× 59 0.2× 477 2.1× 47 1.8k
J D Gearhart United States 25 1.1k 1.6× 113 0.2× 586 1.6× 300 1.3× 160 0.7× 35 2.0k
Karine Hovanes United States 17 978 1.4× 262 0.6× 444 1.2× 140 0.6× 60 0.3× 28 1.9k
Tomonori Nakamura Japan 27 2.6k 3.6× 137 0.3× 677 1.8× 686 2.9× 67 0.3× 62 3.2k
Jeff Mann United States 20 1.5k 2.1× 433 0.9× 917 2.4× 114 0.5× 102 0.4× 28 2.2k
Patricia Ybot‐González Spain 21 973 1.3× 152 0.3× 239 0.6× 83 0.3× 373 1.6× 39 1.4k
Wadih M. Zein United States 21 762 1.1× 122 0.3× 369 1.0× 38 0.2× 246 1.1× 86 1.4k

Countries citing papers authored by Chaim Jalas

Since Specialization
Citations

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

Fields of papers citing papers by Chaim Jalas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaim Jalas

This figure shows the co-authorship network connecting the top 25 collaborators of Chaim Jalas. A scholar is included among the top collaborators of Chaim Jalas 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 Chaim Jalas. Chaim Jalas 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.
Popovic, Mina, et al.. (2025). Reframing analytical validation in preimplantation genetic testing: phase 1. Fertility and Sterility. 124(5). 822–838. 2 indexed citations
2.
3.
Mulas, Francesca, Christian S. Ottolini, Yiping Zhan, et al.. (2024). Confirmation and pathogenicity of small copy number variations incidentally detected via a targeted next-generation sequencing–based preimplantation genetic testing for aneuploidy platform. Fertility and Sterility. 122(5). 789–798. 1 indexed citations
4.
Tao, Xin, Yiping Zhan, M.D. Werner, et al.. (2023). PREGNANCY OUTCOMES OF EMBRYOS DIAGNOSED AS PUTATIVE MOSAIC (PM) USING PREIMPLANTATION GENETIC TESTING FOR ANEUPLOIDY (PGT-A): A MULTI-SITE BLINDED NON-SELECTION STUDY. Fertility and Sterility. 120(4). e66–e66. 2 indexed citations
5.
Capalbo, Antonio, Maurizio Poli, Chaim Jalas, Eric J. Forman, & Nathan R. Treff. (2022). On the reproductive capabilities of aneuploid human preimplantation embryos. The American Journal of Human Genetics. 109(9). 1572–1581. 45 indexed citations
6.
Jalas, Chaim, et al.. (2021). CLINICALLY RECOGNIZED ERROR RATE AFTER TRANSFER OF A SINGLE EMBRYO SCREENED BY NEXT-GENERATION SEQUENCING IS 0.06%. Fertility and Sterility. 116(1). e6–e6. 1 indexed citations
7.
Jalas, Chaim, Yiping Zhan, Brent M. Hanson, et al.. (2021). NEONATAL OUTCOMES ARE NOT IMPACTED BY A SECOND TROPHECTODERM BIOPSY. Fertility and Sterility. 116(3). e288–e288. 1 indexed citations
8.
Hanson, Brent M., Xin Tao, Kathleen H. Hong, et al.. (2021). Noninvasive preimplantation genetic testing for aneuploidy exhibits high rates of deoxyribonucleic acid amplification failure and poor correlation with results obtained using trophectoderm biopsy. Fertility and Sterility. 115(6). 1461–1470. 37 indexed citations
10.
Tao, Xin, Liyuan Ma, Yiping Zhan, et al.. (2020). PRENATAL AND POSTNATAL GENETIC TESTING AFTER PREIMPLANTATION GENETIC TESTING FOR ANEUPLOIDY (PGT-A) FOR A NON-SELECTION CLINICAL TRIAL. Fertility and Sterility. 114(3). e420–e420. 1 indexed citations
12.
Sheffer, Ruth, Michal Gur, Rebecca Brooks, et al.. (2019). Biallelic variants in AGTPBP1, involved in tubulin deglutamylation, are associated with cerebellar degeneration and motor neuropathy. European Journal of Human Genetics. 27(9). 1419–1426. 29 indexed citations
13.
Ta‐Shma, Asaf, Tahir Naeem Khan, Asaf Vivante, et al.. (2017). Mutations in TMEM260 Cause a Pediatric Neurodevelopmental, Cardiac, and Renal Syndrome. The American Journal of Human Genetics. 100(4). 666–675. 18 indexed citations
14.
Edvardson, Simon, Yael Elbaz‐Alon, Chaim Jalas, et al.. (2016). A mutation in the THG1L gene in a family with cerebellar ataxia and developmental delay. Neurogenetics. 17(4). 219–225. 14 indexed citations
15.
Tao, Xin, Chaim Jalas, Anastasia Fedick, et al.. (2014). Rapid and concurrent comprehensive chromosome screening (CCS) and single gene disorder (SGD) PGD. Fertility and Sterility. 102(3). e183–e183. 1 indexed citations
16.
Jalas, Chaim, et al.. (2014). Improved sensitivity to detect recombination using qPCR for Dyskeratosis Congenita PGD. Journal of Assisted Reproduction and Genetics. 31(9). 1227–1230. 7 indexed citations
17.
Haas, Joel T., Harland S. Winter, Elaine T. Lim, et al.. (2012). DGAT1 mutation is linked to a congenital diarrheal disorder. Journal of Clinical Investigation. 122(12). 4680–4684. 115 indexed citations
18.
Fedick, Anastasia, Jing Su, Chaim Jalas, & Nathan R. Treff. (2012). High-throughput real-time PCR-based genotyping without DNA purification. BMC Research Notes. 5(1). 573–573. 7 indexed citations
19.
Jalas, Chaim, et al.. (2011). A founder mutation in the MPL gene causes congenital amegakaryocytic thrombocytopenia (CAMT) in the Ashkenazi Jewish population. Blood Cells Molecules and Diseases. 47(1). 79–83. 8 indexed citations
20.
Edvardson, Simon, Chaim Jalas, Avraham Shaag, et al.. (2011). A deleterious mutation in the LOXHD1 gene causes autosomal recessive hearing loss in Ashkenazi Jews. American Journal of Medical Genetics Part A. 155(5). 1170–1172. 29 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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