E.I. Schwartz

931 citations
40 papers · 665 · h-index 16

Impact in

Papers in

E.I. Schwartz

40 papers receiving 635 citations

Peers

E.I. Schwartz
Comparison fields: 5 of 70
  • Clinical Biochemistry 129
  • Endocrinology, Diabetes and Metabolism 120
  • Aging 12
  • Hematology 74
  • Genetics 164
Replace Yefim Anbinder with:
Yefim Anbinder Israel
Karen Bulmer United Kingdom
Marcus G. Pezzolesi United States
L. RUSSELL Canada
Hiroyuki Ohsaki Japan
Satish Ranjan Germany
Shao‐Wen Weng Taiwan
Yoichiro Ikeda Japan
Montserrat Aguilar-Hernández Mexico
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Citations per year

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-authors

The 25 scholars most cited alongside E.I. Schwartz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E.I. Schwartz Line = papers co-authored together E.I. Schwartz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200174
2 199757
3
Recurrence of the R408W mutation in the phenylalanine hydroxylase locus in Europeans.
199545
4 196640
5
Congenital absence of the parathyroid and thymus glands in an infant. (3 and 4 pharyngeal pouch syndrome).
196638
6 199830
7 199130
8 198630
9 199926
10 199925
11
Megakaryocyte-specific positive regulatory sequence 5' to the human PF4 gene.
199520
12 200119
13 200018
14 199817
15 198216
16 199515
17 198915
18 199314
19 199712
20 200412

About E.I. Schwartz

E.I. Schwartz is a scholar working on Molecular Biology, Genetics, Surgery, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 665 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Metabolism and Genetic Disorders (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (3 papers), Diabetes and associated disorders (3 papers), Folate and B Vitamins Research (3 papers), Nutrition, Genetics, and Disease (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Clinical Biochemistry (129 citations), Endocrinology, Diabetes and Metabolism (120 citations), Aging (12 citations), Hematology (74 citations) and Genetics (164 citations). E.I. Schwartz has collaborated with scholars based in Russia, United States and Finland. Frequent co-authors include L S Taitz, Sergey V. Anisimov, Jorma Ilonen, Alexei A. Goltsov, Helena Reijonen, Hans K. Åkerblom, Sergei Nejentsev, Svetlana Baranovskaya, Sergei Shevtsov and Robert Berkowitz. Their work appears in journals such as Molecular Genetics and Metabolism, Human Mutation, Nucleic Acids Research, PEDIATRICS and Human Heredity.

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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