Ron Piran

673 citations
23 papers · 489 · h-index 10

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • DNA and Biological Computing 5
    • Metabolism, Diabetes, and Cancer 3
    • Pancreatic function and diabetes 9

Ron Piran

22 papers receiving 482 citations

Peers

Ron Piran
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 149
  • Genetics 167
  • Surgery 242
  • Molecular Biology 235
  • Obstetrics and Gynecology 17
Replace Vishal S. Parekh with:
Vishal S. Parekh United States
Michala Prause Denmark
Zhiping Wang United States
Peter E. Heding Denmark
Eunkyung Kauh United States
Anita Pottekat United States
Damien Saugy Switzerland
Christina Priest United States
Maki Inoue Japan
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Citations per field
00.5×3.7×
Vishal S. Parekh · 1×
Citations per year

Countries citing papers authored by Ron Piran

Since Specialization
Citations

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

Fields of papers citing papers by Ron Piran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010152
2 200254
3 201451
4 200344
5 201234
6 201327
7 202021
8 201621
9 201811
10 20239
11 20139
12 20248
13 20128
14 20226
15 20206
16 20096
17 20116
18 20245
19 20134
20 20033

About Ron Piran

Ron Piran is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology, having authored 23 papers that have together received 489 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Advanced biosensing and bioanalysis techniques (5 papers), DNA and Biological Computing (5 papers), Diabetes Treatment and Management (4 papers), Diabetes Management and Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Genetics (167 citations), Surgery (242 citations), Molecular Biology (235 citations) and Obstetrics and Gynecology (17 citations). Ron Piran has collaborated with scholars based in Israel, United States and Taiwan. Frequent co-authors include Fred Levine, Ehud Keinan, Ergeng Hao, Michael H. Glickman, Kay Hofmann, Elah Pick, Yoav Arava, Seung‐Hwan Lee, Linda M. Bradley and Seunghee Lee. Their work appears in journals such as Stem Cells, Cell Death and Disease, EMBO Reports, Inflammation and Regeneration and Current Topics in Medicinal Chemistry.

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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