E.I. Schwartz

931 total citations
40 papers, 665 citations indexed

About

E.I. Schwartz is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, E.I. Schwartz has authored 40 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Surgery. Recurrent topics in E.I. Schwartz's work include Pharmacogenetics and Drug Metabolism (5 papers), Metabolism and Genetic Disorders (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). E.I. Schwartz is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Metabolism and Genetic Disorders (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). E.I. Schwartz collaborates with scholars based in Russia, United States and Estonia. E.I. Schwartz's co-authors include L S Taitz, Sergey V. Anisimov, Jorma Ilonen, Alexei A. Goltsov, Sergei Nejentsev, Helena Reijonen, Hans K. Åkerblom, Svetlana Baranovskaya, Sergei Shevtsov and Randy C. Eisensmith and has published in prestigious journals such as Nucleic Acids Research, PEDIATRICS and Diabetes.

In The Last Decade

E.I. Schwartz

40 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.I. Schwartz Russia 16 170 164 150 129 120 40 665
M F Bélair France 8 134 0.8× 66 0.4× 67 0.4× 108 0.8× 68 0.6× 9 550
Iwona Żak Poland 16 133 0.8× 87 0.5× 135 0.9× 33 0.3× 90 0.8× 56 593
Yukihiro Nagai Japan 15 229 1.3× 112 0.7× 219 1.5× 22 0.2× 208 1.7× 49 812
R A Norum United States 9 348 2.0× 131 0.8× 253 1.7× 75 0.6× 306 2.5× 12 853
N Hobolth Denmark 14 369 2.2× 308 1.9× 154 1.0× 212 1.6× 65 0.5× 37 848
Sufyan G. Sayyed India 10 316 1.9× 71 0.4× 102 0.7× 61 0.5× 109 0.9× 12 706
Yoichiro Ikeda Japan 11 266 1.6× 81 0.5× 113 0.8× 78 0.6× 82 0.7× 22 599
Karen Bulmer United Kingdom 11 478 2.8× 66 0.4× 155 1.0× 51 0.4× 78 0.7× 12 1.1k
Alla Mitrofanova United States 18 344 2.0× 62 0.4× 152 1.0× 58 0.4× 112 0.9× 31 857
Yefim Anbinder Israel 8 621 3.7× 89 0.5× 110 0.7× 344 2.7× 81 0.7× 9 1.1k

Countries citing papers authored by E.I. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by E.I. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.I. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of E.I. Schwartz. A scholar is included among the top collaborators of E.I. 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 E.I. Schwartz. E.I. Schwartz 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.
Schwartz, E.I., et al.. (2002). Inducer Effect on the Complex Formation between Rat Liver Nuclear Proteins and Cytochrome P450 2B Gene Regulatory Elements. Biochemistry (Moscow). 67(9). 1037–1042. 1 indexed citations
2.
Schwartz, E.I., et al.. (2001). The C825T polymorphism in the G-protein β3 subunit gene and diabetic complications in IDDM patients. Journal of Human Genetics. 46(4). 188–191. 11 indexed citations
3.
Schwartz, E.I., et al.. (2001). Paraoxonase 1 Met–Leu 54 polymorphism is associated with Parkinson’s disease. Journal of the Neurological Sciences. 184(2). 179–182. 74 indexed citations
4.
Anisimov, Sergey V., et al.. (2001). Age-Associated Accumulation of the Apolipoprotein C-III Gene T-455C Polymorphism C Allele in a Russian Population. The Journals of Gerontology Series A. 56(1). B27–B32. 19 indexed citations
5.
Schwartz, E.I., et al.. (2000). Gene–Gene Interaction in the RAS System in the Predisposition to Myocardial Infarction in Elder Population of St. Petersburg (Russia). Molecular Genetics and Metabolism. 69(1). 76–80. 18 indexed citations
6.
Anisimov, Sergey V., et al.. (1999). Gln → Arg 191 Polymorphism of Paraoxonase and Parkinson’s Disease. Human Heredity. 49(3). 178–180. 25 indexed citations
7.
Shevtsov, Sergei, et al.. (1998). Prevalence of Lithuanian mutation among St. Petersburg Jews with familial hypercholesterolemia. Human Mutation. 12(4). 255–258. 11 indexed citations
8.
Nejentsev, Sergei, Minna Sjöroos, Helena Reijonen, et al.. (1998). Distribution of insulin‐dependent diabetes mellitus (IDDM)‐related HLA alleles correlates with the difference in IDDM incidence in four populations of the Eastern Baltic region. Tissue Antigens. 52(5). 473–477. 30 indexed citations
9.
Baranovskaya, Svetlana, et al.. (1998). Age as a Risk Factor for Myocardial Infarction in Leiden Mutation Carriers. Molecular Genetics and Metabolism. 64(2). 155–157. 17 indexed citations
10.
Tamary, Hannah, Saul Surrey, Jeyaseelan Augustine, et al.. (1997). Molecular analysis of a compound heterozygote for hypoprothrombinemia and dysprothrombinemia (-G 7248/7249 and ARG 340 TRP). Blood Coagulation & Fibrinolysis. 8(6). 337–343. 7 indexed citations
12.
Ilonen, Jorma, Sinikka Koskinen, Sergey Nejentsev, et al.. (1997). HLA‐DQB1*0304‐DRB1*0408 haplotype associated with insulin–dependent diabetes mellitus in populations in the eastern Baltic region. Tissue Antigens. 49(5). 532–534. 7 indexed citations
13.
Anisimov, Sergey V., et al.. (1996). CYP2D6 Genotyping in a Russian Population Using a Novel Approach for Identification of the CYP2D6A Mutation. Biochemical and Molecular Medicine. 58(2). 234–236. 1 indexed citations
14.
Eisensmith, Randy C., et al.. (1995). Complete Spectrum of PAHMutations in Tataria:Presence of Slavic, Turkic andScandinavian Mutations. European Journal of Human Genetics. 3(4). 246–255. 9 indexed citations
15.
Shevtsov, Sergey P., et al.. (1994). A rapid and simple DNA fingerprinting method using RLFP and SSCP analysis of the hypervariable noncoding region of human mitochondrial DNA. Human Mutation. 3(3). 292–296. 6 indexed citations
16.
Сурин, В. Л., et al.. (1993). The spectrum of β-thalassemia mutations in Azerbaijan. Human Mutation. 2(2). 152–154. 14 indexed citations
17.
Birikh, Klara R., et al.. (1992). A modified approach to identification of the sickle cell anemia mutation by means of allele-specific polymerase chain reaction. Human Mutation. 1(5). 417–419. 4 indexed citations
18.
Schwartz, E.I., et al.. (1991). Approach to identification of a point mutation in apo B100 gene by means of a PCR-mediated site-directed mutagenesis. Nucleic Acids Research. 19(13). 3752–3752. 30 indexed citations
19.
Schwartz, E.I., et al.. (1989). A novel frameshift mutation causing β-thalassaemia in Azerbaijan. Nucleic Acids Research. 17(10). 3997–3997. 15 indexed citations
20.
Bresler, S. E., et al.. (1981). Introduction of active enzymes into intact Escherichia coli cells by means of liposomes. Molecular and General Genetics MGG. 181(4). 532–534. 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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