Tamar Schwartz

727 total citations
18 papers, 481 citations indexed

About

Tamar Schwartz is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tamar Schwartz has authored 18 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Pediatrics, Perinatology and Child Health and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tamar Schwartz's work include Prenatal Screening and Diagnostics (6 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (4 papers). Tamar Schwartz is often cited by papers focused on Prenatal Screening and Diagnostics (6 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (4 papers). Tamar Schwartz collaborates with scholars based in Israel, United States and Spain. Tamar Schwartz's co-authors include Yuval Yaron, Ami Amit, Mira Malcov, Dalit Ben‐Yosef, Tsvia Frumkin, Rachel Eiges, Amir Eden, Nissim Benvenisty, Ofra Yanuka and Achia Urbach and has published in prestigious journals such as Nature Communications, Cell stem cell and Human Reproduction.

In The Last Decade

Tamar Schwartz

18 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamar Schwartz Israel 11 273 136 118 103 97 18 481
Tsvia Frumkin Israel 9 294 1.1× 198 1.5× 121 1.0× 209 2.0× 44 0.5× 16 505
K Hashizume Japan 8 108 0.4× 58 0.4× 44 0.4× 43 0.4× 24 0.2× 22 343
Chiara Palka Italy 10 255 0.9× 210 1.5× 46 0.4× 136 1.3× 50 0.5× 34 468
T. Elkan Miller Israel 9 164 0.6× 82 0.6× 29 0.2× 72 0.7× 41 0.4× 22 444
Wen Ying Chen Hong Kong 5 139 0.5× 50 0.4× 132 1.1× 56 0.5× 186 1.9× 5 469
Deanna Streck United States 11 89 0.3× 83 0.6× 12 0.1× 22 0.2× 48 0.5× 17 406
C. Monzo France 9 182 0.7× 46 0.3× 220 1.9× 77 0.7× 189 1.9× 15 440
Tania Radziewic Australia 6 276 1.0× 189 1.4× 34 0.3× 14 0.1× 19 0.2× 8 378
Thomas Nalpathamkalam Canada 8 205 0.8× 152 1.1× 46 0.4× 18 0.2× 14 0.1× 16 391
Tímea Balassa Hungary 7 119 0.4× 12 0.1× 74 0.6× 48 0.5× 72 0.7× 9 362

Countries citing papers authored by Tamar Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Schwartz

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

All Works

18 of 18 papers shown
1.
Schwartz, Tamar, et al.. (2024). Visual interpretability of image-based classification models by generative latent space disentanglement applied to in vitro fertilization. Nature Communications. 15(1). 7390–7390. 5 indexed citations
2.
Vigodner, Margarita, et al.. (2020). Identification of sumoylated targets in proliferating mouse spermatogonia and human testicular seminomas. Asian Journal of Andrology. 22(6). 569–569. 3 indexed citations
3.
Kalma, Yael, Mira Malcov, Tamar Schwartz, et al.. (2016). Blastomere biopsy for PGD delays embryo compaction and blastulation: a time-lapse microscopic analysis. Journal of Assisted Reproduction and Genetics. 33(11). 1449–1457. 30 indexed citations
4.
Shinar, Shiri, Tamar Schwartz, Hadar Amir, et al.. (2016). Timing embryo biopsy for PGD – before or after cryopreservation?. Gynecological Endocrinology. 32(9). 756–758. 4 indexed citations
5.
Samuelov, Liat, Benny Almog, Tamar Schwartz, et al.. (2012). An embryo cleavage pattern based on the relative blastomere size as a function of cell number for predicting implantation outcome. Fertility and Sterility. 98(3). 650–656.e4. 14 indexed citations
6.
Schwartz, Tamar, et al.. (2012). PP-23 EMBRYO CLEAVAGE PATTERN AS AN IMPORTANT PARAMETER FOR PREDICTING IMPLANTATION. Reproductive BioMedicine Online. 24. S13–S14. 1 indexed citations
7.
Frumkin, Tsvia, Mira Malcov, Michael Telias, et al.. (2010). Human embryonic stem cells carrying mutations for severe genetic disorders. In Vitro Cellular & Developmental Biology - Animal. 46(3-4). 327–336. 21 indexed citations
8.
Almog, B., et al.. (2008). Interval double transfer improves treatment success in patients with repeated IVF/ET failures. Journal of Assisted Reproduction and Genetics. 25(8). 353–357. 27 indexed citations
9.
Eiges, Rachel, Achia Urbach, Mira Malcov, et al.. (2007). Developmental Study of Fragile X Syndrome Using Human Embryonic Stem Cells Derived from Preimplantation Genetically Diagnosed Embryos. Cell stem cell. 1(5). 568–577. 222 indexed citations
10.
Yaron, Yuval, et al.. (2006). Detection of Spinal Muscular Atrophy Carriers by Nested Polymerase Chain Reaction of Single Sperm Cells. Genetic Testing. 10(1). 18–23. 4 indexed citations
11.
Malcov, Mira, Dalit Ben‐Yosef, Tamar Schwartz, et al.. (2005). Preimplantation genetic diagnosis (PGD) for Duchenne muscular dystrophy (DMD) by triplex-nested PCR. Prenatal Diagnosis. 25(13). 1200–1205. 18 indexed citations
12.
Yaron, Yuval, et al.. (2005). Preimplantation Genetic Diagnosis of Canavan Disease. Fetal Diagnosis and Therapy. 20(5). 465–468. 10 indexed citations
13.
Malcov, Mira, Tamar Schwartz, Ami Amit, et al.. (2004). Multiplex Nested PCR for Preimplantation Genetic Diagnosis of Spinal Muscular Atrophy. Fetal Diagnosis and Therapy. 19(2). 199–206. 19 indexed citations
14.
Ben‐Yosef, Dalit, Ami Amit, Foad Azem, et al.. (2004). Prospective Randomized Comparison of Two Embryo Culture Systems: P1 Medium by Irvine Scientific and the Cook IVF Medium. Journal of Assisted Reproduction and Genetics. 21(8). 291–295. 18 indexed citations
15.
Ben‐Yosef, Dalit, et al.. (2001). Increasing Synthetic Serum Substitute (SSS) Concentrations in P1 Glucose/Phosphate-Free Medium Improves Implantation Rate: A Comparative Study. Journal of Assisted Reproduction and Genetics. 18(11). 588–592. 10 indexed citations
16.
Geva, Eli, Ami Amit, Liat Lerner‐Geva, et al.. (2000). Prednisone and Aspirin Improve Pregnancy Rate in Patients with Reproductive Failure and Autoimmune Antibodies: A Prospective Study. American Journal of Reproductive Immunology. 43(1). 36–40. 73 indexed citations
17.
Schwartz, Tamar, Eli Geva, Foad Azem, et al.. (1999). P-224. Support groups as an effective tool in alleviating psychological stress during in-vitro fertilization. Human Reproduction. 14(Suppl_3). 253–253. 1 indexed citations
18.
Schwartz, Tamar, Israel Yovel, Foad Azem, et al.. (1999). O-223. Counselling and support are essential in the daily in-vitro fertilization treatment scheme. Human Reproduction. 14(Suppl_3). 253–253. 1 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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