Elon Pras

93 papers receiving 2.8k citations

Peers

Elon Pras
Comparison fields: 5 of 123
  • Biochemistry 271
  • Clinical Biochemistry 202
  • Urology 172
  • Ophthalmology 216
  • Cardiology and Cardiovascular Medicine 427
Replace Reijo Norio with:
Reijo Norio Finland
Paige Kaplan United States
Boleslaw Goldman Israel
Shiro Saito Japan
Mary Ella Pierpont United States
Bruce Bennetts Australia
Pablo Lapunzina Spain
Jianfeng Xu United States
Yoshinori Okada Japan
Allan M. Lund Denmark
Elon Pras relative to Reijo Norio Finland Reijo Norio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Elon Pras

Since Specialization
Citations

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

Fields of papers citing papers by Elon Pras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elon Pras, 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 Elon Pras Line = papers co-authored together Elon Pras links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002189
2 1994169
3
A nonsense mutation (W9X) in CRYAA causes autosomal recessive cataract in an inbred Jewish Persian family.
2000146
4 2011129
5 2007114
6 2012111
7 2003108
8 200895
9 200292
10 201382
11 199478
12 199273
13 200469
14
Mutations in the SLC3A1 transporter gene in cystinuria.
199567
15 200162
16
Cone-rod dystrophy and a frameshift mutation in the PROM1 gene.
200959
17 199159
18 200657
19
Molecular analysis of cystinuria in Libyan Jews: exclusion of the SLC3A1 gene and mapping of a new locus on 19q.
199754
20 201047

About Elon Pras

Elon Pras is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 97 papers that have together received 2.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (9 papers), Folate and B Vitamins Research (8 papers), Connexins and lens biology (6 papers), Prenatal Screening and Diagnostics (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Kidney Stones and Urolithiasis Treatments (5 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Biochemistry (271 citations), Clinical Biochemistry (202 citations), Urology (172 citations), Ophthalmology (216 citations) and Cardiology and Cardiovascular Medicine (427 citations). Elon Pras has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eran Pras, Moshe Frydman, Hadas Lahat, Etgar Levy‐Nissenbaum, Haike Reznik‐Wolf, Boleslaw Goldman, Nadir Arber, Ehud I. Assia, Yechezkel Sidi and Michael Eldar. Their work appears in journals such as The American Journal of Human Genetics, Journal of Medical Genetics, European Journal of Medical Genetics, Prenatal Diagnosis and Human Genetics.

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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