Rona Limor

61 papers receiving 2.1k citations

Peers

Rona Limor
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 300
  • Behavioral Neuroscience 155
  • Reproductive Medicine 350
  • Endocrinology, Diabetes and Metabolism 635
  • Nutrition and Dietetics 351
Replace Claudio Molinari with:
Claudio Molinari Italy
Kazuo Takebe Japan
Carla Roberta de Oliveira Carvalho Brazil
Hans Wahrenberg Sweden
Claudio Pagano Italy
Motoaki Saito Japan
William G. Blackard United States
Ramón Cañete Spain
Reino Ylikahri Finland
J. P. Felber Switzerland
Rona Limor relative to Claudio Molinari Italy Claudio Molinari's profile →
Citations per field
00.5×7.8×
Claudio Molinari · 1×
Citations per year

Countries citing papers authored by Rona Limor

Since Specialization
Citations

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

Fields of papers citing papers by Rona Limor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005285
2 2004178
3 2000141
4 2007130
5 198673
6 198870
7 198968
8 201266
9 198761
10 200960
11 200656
12 200650
13 200847
14 200147
15 201741
16 201641
17 200938
18 200738
19 200835
20 201835

About Rona Limor

Rona Limor is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Estrogen and related hormone effects (8 papers), Adrenal Hormones and Disorders (8 papers), Stress Responses and Cortisol (6 papers), Ovarian function and disorders (6 papers), Regulation of Appetite and Obesity (6 papers), Hypothalamic control of reproductive hormones (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (300 citations), Behavioral Neuroscience (155 citations), Reproductive Medicine (350 citations), Endocrinology, Diabetes and Metabolism (635 citations) and Nutrition and Dietetics (351 citations). Rona Limor has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Naftali Stern, Yona Greenman, Zvi Naor, S. Gilad, Esther Knoll, Karen Tordjman, Förtüne Kohen, Dalia Sömjen, Batya Gayer and Orly Sharon. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Clinical Endocrinology, Neuroendocrinology, Biochemistry and American Journal of Hypertension.

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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