Stein Vaaler

1.6k citations
55 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Stein Vaaler

55 papers receiving 1.2k citations

Peers

Stein Vaaler
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 712
  • Reproductive Medicine 167
  • Endocrine and Autonomic Systems 56
  • Nutrition and Dietetics 116
  • Hematology 80
Replace Beyhan Ömer with:
Beyhan Ömer Türkiye
Abdul Hamid Zargar India
Philip A Morales United States
S M Haffner United States
K.M. PRASANNA KUMAR India
S.M. Sadikot India
D. Simon France
Hussein Saadi United Arab Emirates
Sema Genç Türkiye
Guillermo Cardoso‐Saldaña Mexico
Stein Vaaler relative to Beyhan Ömer Türkiye Beyhan Ömer's profile →
Citations per field
00.5×3.8×
Beyhan Ömer · 1×
Citations per year

Countries citing papers authored by Stein Vaaler

Since Specialization
Citations

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

Fields of papers citing papers by Stein Vaaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992150
2 1993139
3 2005121
4 200686
5 200480
6 200661
7 199443
8 199541
9 199439
10 198437
11 198636
12 200531
13 199028
14 200125
15 199624
16 200323
17 199423
18
Prevalence of type 2 diabetes in urban slums of Dhaka, Bangladesh.
200422
19 199419
20 200319

About Stein Vaaler

Stein Vaaler is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Physiology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (17 papers), Diabetes Treatment and Management (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes and associated disorders (6 papers), Diet and metabolism studies (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Pharmacology and Obesity Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (712 citations), Reproductive Medicine (167 citations), Endocrine and Autonomic Systems (56 citations), Nutrition and Dietetics (116 citations) and Hematology (80 citations). Stein Vaaler has collaborated with scholars based in Norway, Bangladesh and United Kingdom. Frequent co-authors include Kristian F. Hanssen, Kåre I. Birkeland, Akhtar Hussain, S Ali, Abul Kalam Azad Khan, Peter A. Torjesen, Muhammad Abdur Rahim, Per Olav Dale, Tom Tanbo and Thomas Åbyholm. Their work appears in journals such as Diabetic Medicine, Diabetes Care, Transplant International, Scandinavian Journal of Primary Health Care and Scandinavian Journal of Clinical and Laboratory Investigation.

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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