Ehud Ur

4.7k citations
56 papers · 2.2k indexed · h-index 24

Impact in

Papers in

Ehud Ur

55 papers receiving 2.1k citations

Peers

Ehud Ur
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 974
  • Behavioral Neuroscience 139
  • Endocrinology, Diabetes and Metabolism 484
  • Physiology 676
  • Biological Psychiatry 59
Replace Tetsuya Kakuma with:
Tetsuya Kakuma Japan
Miles E. Matsen United States
Guo Zhang China
Vicente Barrios Spain
Bernadette E. Grayson United States
Gilberto Paz-Filho Australia
Marciane Milanski Brazil
Haifei Shi United States
Romana Stark United States
Andressa Coope Brazil
Ehud Ur relative to Tetsuya Kakuma Japan Tetsuya Kakuma's profile →
Citations per field
00.5×1.5×1.9×
Tetsuya Kakuma · 1×
Citations per year

Countries citing papers authored by Ehud Ur

Since Specialization
Citations

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

Fields of papers citing papers by Ehud Ur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20165
2 201236
3 201070
4 200912
5
Resistin activates AMP-activated protein kinase in a novel hypothalamic neuronal cell line: implications for central energy metabolism
20081
6 200829
7 20085
8 200724
9 2007101
10
Canadian guidelines for the management of adult growth hormone deficiency.
20063
11 200630
12 200676
13 200516
14 200518
15 200539
16 200437
17 2003127
18 200138
19 199615
20 19874

About Ehud Ur

Ehud Ur is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Biological Psychiatry and Epidemiology, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (15 papers), Pituitary Gland Disorders and Treatments (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Biochemical Analysis and Sensing Techniques (6 papers), Diabetes Management and Education (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (974 citations), Behavioral Neuroscience (139 citations), Endocrinology, Diabetes and Metabolism (484 citations), Physiology (676 citations) and Biological Psychiatry (59 citations). Ehud Ur has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael Wilkinson, Barbara Morash, Paul R. Murphy, Syed Ali Imran, Audrey Li, Russell E. Brown, Ashley Grossman, Diane A. Wilkinson, Steven McNulty and Gareth Williams. Their work appears in journals such as Neuroendocrinology, Clinical and investigative medicine, Canadian Journal of Cardiology, Canadian Journal of Diabetes and Molecular and Cellular Endocrinology.

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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