Juma Al Kaabi

4.0k citations
24 papers · 2.6k indexed · 2 hit papers · h-index 12

Juma Al Kaabi

21 papers receiving 2.5k citations

Hit Papers

Association of risk factors with type 2 diabetes: A syste...159201920262021202350010001.5k

Peers

Juma Al Kaabi
Comparison fields: 5 of 149
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Physiology 528
  • Family Practice 34
  • Health Information Management 60
  • Epidemiology 398
Replace Sudesna Chatterjee with:
Sudesna Chatterjee United Kingdom
Jeffrey King United Arab Emirates
Romona Devi Govender United Arab Emirates
Halla Mustafa United Arab Emirates
Michael J. Fowler United States
Jason L. Vassy United States
Zubin Punthakee Canada
Clara Weil Israel
Jürgen Harreiter Austria
Sang Youl Rhee South Korea
Juma Al Kaabi relative to Sudesna Chatterjee United Kingdom Sudesna Chatterjee's profile →
Citations per field
00.5×1.5×2.0×
Sudesna Chatterjee · 1×
Citations per year

Countries citing papers authored by Juma Al Kaabi

Since Specialization
Citations

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

Fields of papers citing papers by Juma Al Kaabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juma Al Kaabi. 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 Juma Al Kaabi. The network helps show where Juma Al Kaabi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202330
3 20210
4 20214
5 202159
6
Association of risk factors with type 2 diabetes: A systematic reviewbreakdown →
2021159
7 2021100
8 20219
9 20206
10 202015
11 202020
12 20202
13 202058
14
Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trendsbreakdown →
20191952
15 201810
16 201712
17 20161
18 20166
19 20140
20 201387

About Juma Al Kaabi

Juma Al Kaabi is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Obstetrics and Gynecology, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Management and Education (3 papers), Chronic Disease Management Strategies (2 papers), Cannabis and Cannabinoid Research (2 papers), Bariatric Surgery and Outcomes (2 papers), Dietary Effects on Health (2 papers), Diet and metabolism studies (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Physiology (528 citations) and Family Practice (34 citations). Juma Al Kaabi has collaborated with scholars based in United Arab Emirates, Oman and Saudi Arabia. Frequent co-authors include Romona Devi Govender, Halla Mustafa, Moien AB Khan, Muhammad Jawad Hashim, Jeffrey King, Leila Ismail, Huned Materwala, Charu Sharma, Shreesh Ojha and Bassem Sadek. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nutrients.

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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