Neta Loewenthal

835 citations
36 papers · 566 · h-index 13

Impact in

Papers in

Neta Loewenthal

35 papers receiving 549 citations

Peers

Neta Loewenthal
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 189
  • Reproductive Medicine 69
  • Behavioral Neuroscience 20
  • Genetics 129
  • Biological Psychiatry 10
Replace Rebecca Persky with:
Rebecca Persky United States
Yanhong Huang China
David W. Boorman United States
Inge Van Pottelbergh Belgium
Anselmo Palacios Venezuela
Radosław Słopień Poland
Marguerite T. Littleton‐Kearney United States
Tiziana Pagano Italy
Steven Jett United States
A Warenik-Szymankiewicz Poland
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Citations per field
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Rebecca Persky · 1×
Citations per year

Countries citing papers authored by Neta Loewenthal

Since Specialization
Citations

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

Fields of papers citing papers by Neta Loewenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201175
2 200972
3 201152
4 201439
5 201337
6 201533
7 200925
8 201521
9 201418
10 202017
11 201517
12 200515
13 201915
14 202112
15 201812
16
Ethnic differences in glycemic control and diabetic ketoacidosis rate among children with diabetes mellitus type 1 in the Negev area.
201311
17 201411
18 202010
19 200510
20 20208

About Neta Loewenthal

Neta Loewenthal is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 36 papers that have together received 566 indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (8 papers), Diabetes Management and Research (7 papers), Genetic Syndromes and Imprinting (3 papers), Parathyroid Disorders and Treatments (3 papers), Enzyme function and inhibition (3 papers), Genetic and Kidney Cyst Diseases (2 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Reproductive Medicine (69 citations), Behavioral Neuroscience (20 citations), Genetics (129 citations) and Biological Psychiatry (10 citations). Neta Loewenthal has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Eli Hershkovitz, Alon Haim, Yehonatan Pasternak, Ruti Parvari, Michael Friger, Shlomit Shalitin, Moshe Phillip, Liat Ashkenazi‐Hoffnung, Michal Yackobovitch‐Gavan and Marianna Rachmiel. Their work appears in journals such as Hormone Research in Paediatrics, Diabetes/Metabolism Research and Reviews, International Journal of Molecular Sciences, The Journal of Clinical Endocrinology & Metabolism and Pediatric Research.

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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