Rinat Armony-Sivan

14 papers receiving 677 citations

Peers

Rinat Armony-Sivan
Comparison fields: 5 of 77
  • Hematology 296
  • Nutrition and Dietetics 182
  • Genetics 91
  • Pediatrics, Perinatology and Child Health 127
  • Psychiatry and Mental health 63
Replace Mary Lu Angelilli with:
Mary Lu Angelilli United States
Omar A. Al-Farsi Oman
Osman Abalı Türkiye
Jane V. Hunt United States
Anita J. Fuglestad United States
Kate Steinbeck Australia
Esther Cardo Spain
Caroline Wilson United States
Reem A. Tarazi United States
Josephine L. Nanson Canada
Rinat Armony-Sivan relative to Mary Lu Angelilli United States Mary Lu Angelilli's profile →
Citations per field
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Mary Lu Angelilli · 1×
Citations per year

Countries citing papers authored by Rinat Armony-Sivan

Since Specialization
Citations

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

Fields of papers citing papers by Rinat Armony-Sivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rinat Armony-Sivan. 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 Rinat Armony-Sivan. The network helps show where Rinat Armony-Sivan may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010182
2 2007145
3 200788
4 200475
5 200156
6 201247
7 201025
8 201022
9 199720
10 201213
11 201510
12 199510
13 20176
14 20154

About Rinat Armony-Sivan

Rinat Armony-Sivan is a scholar working on Hematology, Surgery, Clinical Psychology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 14 papers that have together received 703 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (5 papers), Gestational Diabetes Research and Management (1 paper), Psychological Testing and Assessment (1 paper), Fatty Acid Research and Health (1 paper), Disability Education and Employment (1 paper), Family and Disability Support Research (1 paper), Personality Disorders and Psychopathology (1 paper) and Inclusion and Disability in Education and Sport (1 paper). The work is most often cited by research in Hematology (296 citations), Nutrition and Dietetics (182 citations), Genetics (91 citations), Pediatrics, Perinatology and Child Health (127 citations) and Psychiatry and Mental health (63 citations). Rinat Armony-Sivan has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Betsy Lozoff, Sandra W. Jacobson, Mary Lu Angelilli, Matthew J. Burden, Joseph L. Jacobson, Chaya Schwartz, Yuezhou Jing, Katy M. Clark, Neil C. Dodge and R. Colin Carter. Their work appears in journals such as PEDIATRICS, The Journal of Pediatrics, Journal of Developmental & Behavioral Pediatrics, Journal of Perinatal Medicine and Journal of Nutrition.

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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