Salah Abusnana

2.7k citations
51 papers · 2.0k indexed · h-index 17

Salah Abusnana

47 papers receiving 1.9k citations

Peers

Salah Abusnana
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 1.2k
  • Nutrition and Dietetics 766
  • Cognitive Neuroscience 398
  • Physiology 492
  • Endocrinology, Diabetes and Metabolism 287
Replace Toshimasa Osaka with:
Toshimasa Osaka Japan
Heike Vogel Germany
Caroline Ketterer Germany
Richard B. Lynn United States
James R.C. Parkinson United Kingdom
Mohammad Tadayyon United Kingdom
Jacquelien J Hillebrand Netherlands
Hana Papežová Czechia
J Nedvı́dková Czechia
Susan J. Melhorn United States
Salah Abusnana relative to Toshimasa Osaka Japan Toshimasa Osaka's profile →
Citations per field
00.5×3.9×
Toshimasa Osaka · 1×
Citations per year

Countries citing papers authored by Salah Abusnana

Since Specialization
Citations

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

Fields of papers citing papers by Salah Abusnana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20240
4 20241
5 20234
6 20235
7 20223
8 20225
9
Incidence and Clinicopathological Features of Breast Cancer in the Northern Emirates: Experience from Sharjah Breast Care Center
20201
10 202019
11 20203
12 20205
13 20204
14 20199
15 20192
16 20184
17 201824
18 201816
19 1998471
20 199840

About Salah Abusnana

Salah Abusnana is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Pharmacy, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Regulation of Appetite and Obesity (7 papers), Vitamin D Research Studies (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (6 papers) and Diabetes Management and Education (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Nutrition and Dietetics (766 citations) and Cognitive Neuroscience (398 citations). Salah Abusnana has collaborated with scholars based in United Arab Emirates, United Kingdom and Australia. Frequent co-authors include David Sunter, M.A. Ghatei, Stephen R. Bloom, David Morgan, C. J. Small, Kevin G. Murphy, Sarah A. Stanley, SR Bloom, C. M. B. Edwards and Michela Rossi. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

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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