Meir Schechter

949 citations
34 papers · 634 · h-index 15

Impact in

Papers in

Meir Schechter

34 papers receiving 611 citations

Peers

Meir Schechter
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 302
  • Nephrology 87
  • Neurology 127
  • Physiology 79
  • Geriatrics and Gerontology 10
Replace Takahiro Tosaki with:
Takahiro Tosaki Japan
Katie Marie Sullivan United Kingdom
Andreia Gonçalves Portugal
Morifumi Yanagisawa Japan
Friederike Hörster Germany
Beata Gyorgy France
Fabian Riediger Germany
Akizuki Morikawa Japan
Evangelia Kalaitzoglou United States
L. G. Heding Denmark
Meir Schechter relative to Takahiro Tosaki Japan Takahiro Tosaki's profile →
Citations per field
00.5×2×4×6.0×
Takahiro Tosaki · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 202249
3 202348
4 202145
5 202045
6 201544
7 202243
8 202038
9 202331
10 202122
11 202021
12 202219
13 202317
14 202317
15 202316
16 202112
17 202111
18 202211
19 202310
20 20217

About Meir Schechter

Meir Schechter is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Nephrology, Physiology and Pharmacology, having authored 34 papers that have together received 634 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Management and Research (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Cellular transport and secretion (2 papers) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (302 citations), Nephrology (87 citations), Neurology (127 citations), Physiology (79 citations) and Geriatrics and Gerontology (10 citations). Meir Schechter has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Ofri Mosenzon, Ronit Sharon, Hiddo Lambers Heerspink, Aliza Rozenberg, Ilan Yanuv, Priya Vart, Lawrence A. Leiter, Itamar Raz, Lubov Nathanson and Anna Maria Langkilde. Their work appears in journals such as Cardiovascular Diabetology, Diabetes Care, Diabetes Obesity and Metabolism, Annals of Internal Medicine and Diabetes Research and Clinical Practice.

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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