Faina Schwartz

655 total citations
18 papers, 550 citations indexed

About

Faina Schwartz is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Faina Schwartz has authored 18 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Faina Schwartz's work include Mitochondrial Function and Pathology (6 papers), CRISPR and Genetic Engineering (4 papers) and Birth, Development, and Health (3 papers). Faina Schwartz is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), CRISPR and Genetic Engineering (4 papers) and Birth, Development, and Health (3 papers). Faina Schwartz collaborates with scholars based in United States and South Korea. Faina Schwartz's co-authors include Elaine Fuchs, Haralambos Gavras, Raju Kucherlapati, Anita L. DeStefano, Lindsay A. Farrer, Fengzhu Sun, Jing Cui, Athanasios Manolis, Michael Nicolaou and Clinton T. Baldwin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Hypertension.

In The Last Decade

Faina Schwartz

18 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faina Schwartz United States	12	348	139	72	71	67	18	550
Danyang Huang China	13	333 1.0×	105 0.8×	29 0.4×	23 0.3×	57 0.9×	31	545
Emi Nose Japan	18	222 0.6×	73 0.5×	21 0.3×	99 1.4×	39 0.6×	20	1.0k
José Jorge Galán Spain	15	236 0.7×	202 1.5×	22 0.3×	56 0.8×	27 0.4×	28	560
Edward Edkins Australia	13	187 0.5×	66 0.5×	38 0.5×	38 0.5×	14 0.2×	24	468
Yvonne W.-H. Yang United States	11	308 0.9×	98 0.7×	65 0.9×	31 0.4×	384 5.7×	14	567
Dalhia Abramovich Argentina	18	273 0.8×	72 0.5×	81 1.1×	23 0.3×	50 0.7×	40	937
Kennedy Makondo Japan	13	244 0.7×	196 1.4×	19 0.3×	26 0.4×	82 1.2×	19	557
Robert I. Barnes United States	8	553 1.6×	210 1.5×	29 0.4×	130 1.8×	46 0.7×	12	801
Yucheng Liao China	8	347 1.0×	189 1.4×	30 0.4×	16 0.2×	214 3.2×	9	604
B. Vogt Germany	11	289 0.8×	55 0.4×	26 0.4×	53 0.7×	126 1.9×	12	505

Countries citing papers authored by Faina Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Faina Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faina Schwartz

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

All Works

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18 of 18 papers shown

Liu, Chunyu, Qiong Yang, Shih‐Jen Hwang, et al.. (2012). Association of Genetic Variation in the Mitochondrial Genome With Blood Pressure and Metabolic Traits. Hypertension. 60(4). 949–956. 34 indexed citations

Yang, Qiong, Sung K. Kim, Fengzhu Sun, et al.. (2007). Maternal influence on blood pressure suggests involvement of mitochondrial DNA in the pathogenesis of hypertension: the Framingham Heart Study. Journal of Hypertension. 25(10). 2067–2073. 38 indexed citations

Schwartz, Faina, et al.. (2004). Novel targets of ANG II regulation in mouse heart identified by serial analysis of gene expression. American Journal of Physiology-Heart and Circulatory Physiology. 287(5). H1957–H1966. 8 indexed citations

Baldwin, Clinton T., et al.. (2004). Study of Hypertension in Spontaneous Hypertensive Rats by Sequencing the Genomic DNA of Alpha 2B Receptors. 2 indexed citations

Sun, Fengzhu, Jing Cui, Haralambos Gavras, & Faina Schwartz. (2003). A Novel Class of Tests for the Detection of Mitochondrial DNA–Mutation Involvement in Diseases. The American Journal of Human Genetics. 72(6). 1515–1526. 26 indexed citations

Schwartz, Faina, et al.. (2003). Serial analysis of gene expression in mouse kidney following angiotensin II administration. Physiological Genomics. 16(1). 90–98. 7 indexed citations

DeStefano, Anita L., Haralambos Gavras, Nancy L. Heard‐Costa, et al.. (2001). Maternal component in the familial aggregation of hypertension. Clinical Genetics. 60(1). 13–21. 37 indexed citations

Schwartz, Faina, Clinton T. Baldwin, Jader Baima, & Haralambos Gavras. (1999). Mitochondrial DNA mutations in patients with orthostatic hypotension. American Journal of Medical Genetics. 86(2). 145–150. 9 indexed citations

Baima, Jader, Michael Nicolaou, Faina Schwartz, et al.. (1999). Evidence for Linkage Between Essential Hypertension and a Putative Locus on Human Chromosome 17. Hypertension. 34(1). 4–7. 78 indexed citations

10.

DeStefano, Anita L., Haralambos Gavras, Diane E. Handy, et al.. (1998). Autosomal Dominant Orthostatic Hypotensive Disorder Maps to Chromosome 18q. The American Journal of Human Genetics. 63(5). 1425–1430. 40 indexed citations

11.

Schwartz, Faina & Tatsuya Ota. (1997). The 239AB gene on chromosome 22: a novel member of an ancient gene family. Gene. 194(1). 57–62. 8 indexed citations

12.

Schwartz, Faina, R.E. Eisenman, Joan H.M. Knoll, Manfred Gessler, & G.A.P. Bruns. (1995). cDNA Sequence, Genomic Organization, and Evolutionary Conservation of a Novel Gene from the WAGR Region. Genomics. 29(2). 526–532. 17 indexed citations

13.

Schwartz, Faina, Rachael L. Neve, Robert N. Eisenman, Manfred Gessler, & G.A.P. Bruns. (1994). A WAGR region gene between PAX-6 and FSHB expressed in fetal brain. Human Genetics. 94(6). 658–64. 21 indexed citations

14.

Schwartz, Faina, et al.. (1994). Gene Targeting in the Ke4 Locus of the Mouse in Embryonic Stem Cells. Molecules and Cells. 4(1). 27–32. 1 indexed citations

15.

Schwartz, Faina, Nobuo Maeda, Oliver Smithies, et al.. (1991). A dominant positive and negative selectable gene for use in mammalian cells.. Proceedings of the National Academy of Sciences. 88(23). 10416–10420. 40 indexed citations

16.

Song, K Y, et al.. (1987). Accurate modification of a chromosomal plasmid by homologous recombination in human cells.. Proceedings of the National Academy of Sciences. 84(19). 6820–6824. 47 indexed citations

17.

Ayares, David, et al.. (1985). HOMOLOGOUS RECOMBINATION BETWEEN AUTONOMOUSLY REPLICATING PLASMIDS IN MAMMALIAN CELLS. Genetics. 111(2). 375–388. 33 indexed citations

18.

Schwartz, Faina, et al.. (1984). Differences in keratin synthesis between normal epithelial cells and squamous cell carcinomas are mediated by vitamin A.. Proceedings of the National Academy of Sciences. 81(14). 4280–4284. 104 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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