Meir Schechter

866 citations
30 papers · 410 · h-index 12

Impact in

Papers in

Meir Schechter

27 papers receiving 398 citations

Peers

Meir Schechter
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 185
  • Neurology 124
  • Nephrology 51
  • Physiology 85
  • Cellular and Molecular Neuroscience 56
Replace Ulrike Maschke with:
Ulrike Maschke Germany
Ron Liebkind Finland
Takahisa Deguchi Japan
Andreia Gonçalves Portugal
Steven Shikhel United States
René Smith United States
T. Pohlmann Germany
Rhonda Souvenir United States
Michele Adolfo Tedesco Italy
Emanuele Rastelli Italy
Meir Schechter relative to Ulrike Maschke Germany Ulrike Maschke's profile →
Citations per field
00.5×10×15×17.6×
Ulrike Maschke · 1×
Citations per year

Countries citing papers authored by Meir Schechter

Since Specialization
Citations

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

Fields of papers citing papers by Meir Schechter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201544
2 202042
3 202339
4 202138
5 202035
6 202233
7 202325
8 202020
9 202117
10 202216
11 202315
12 202312
13 202311
14 20219
15 20219
16 20229
17 20238
18 20216
19 20225
20 20225

About Meir Schechter

Meir Schechter is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Neurology and Nephrology, having authored 30 papers that have together received 410 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (17 papers), Diabetes Management and Research (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (185 citations), Neurology (124 citations), Nephrology (51 citations), Physiology (85 citations) and Cellular and Molecular Neuroscience (56 citations). Meir Schechter has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Ronit Sharon, Ofri Mosenzon, Hiddo J.L. Heerspink, Priya Vart, Lawrence A. Leiter, Aliza Rozenberg, Lubov Nathanson, Ilan Yanuv, Itamar Raz and Daniel Gitler. Their work appears in journals such as Cardiovascular Diabetology, Diabetes Obesity and Metabolism, Diabetes Research and Clinical Practice, iScience and Clinical Journal of the American Society of Nephrology.

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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