Idit Ron

1.4k citations
28 papers · 1.1k · h-index 15

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Idit Ron

28 papers receiving 1.1k citations

Peers

Idit Ron
Comparison fields: 5 of 83
  • Physiology 461
  • Neurology 86
  • Cell Biology 65
  • Dermatology 35
  • Molecular Biology 237
Replace Ryan M. Dickerson with:
Ryan M. Dickerson United States
Miki Hiraoka Japan
Patrick L. Roddy United States
Kayleigh M. Dodd United Kingdom
Tadashi Nishiya Japan
Yasuko Yoshioka Japan
Soung Jung Kim South Korea
Michael T. Maris Belgium
Takaya Ishihara Japan
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Citations per field
00.5×2×4×5.8×
Ryan M. Dickerson · 1×
Citations per year

Countries citing papers authored by Idit Ron

Since Specialization
Citations

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

Fields of papers citing papers by Idit Ron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 2019239
3 201097
4 201090
5 202082
6 201149
7 201339
8 199738
9 200531
10 200730
11 202419
12 202117
13 199216
14 199416
15 199616
16 199515
17 200214
18 200513
19 199610
20 20219

About Idit Ron

Idit Ron is a scholar working on Physiology, Cell Biology, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Oncology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (8 papers), Endoplasmic Reticulum Stress and Disease (2 papers), T-cell and B-cell Immunology (2 papers), Optical Polarization and Ellipsometry (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Immune cells in cancer (2 papers), Connexins and lens biology (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Physiology (461 citations), Neurology (86 citations), Cell Biology (65 citations), Dermatology (35 citations) and Molecular Biology (237 citations). Idit Ron has collaborated with scholars based in Israel, United States and Türkiye. Frequent co-authors include Mia Horowitz, AMIR TIROSH, Rinat Livne, Mirella Filocamo, MORAN RATHAUS, Gürol Tuncman, Ediz S. Calay, Samario Chaitchik, Gökhan S. Hotamışlıgil and Moshe Inbar. Their work appears in journals such as Molecular Genetics and Metabolism, Oncology Reports, European Journal of Cancer, Human Molecular Genetics and Blood Cells Molecules and Diseases.

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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