Valma Harjutsalo

7.8k citations
137 papers · 3.9k indexed · 1 hit paper · h-index 35
Topics
Diabetes Management and Research (63 papers)Diabetes and associated disorders (37 papers)Diabetes Treatment and Management (32 papers)

In The Last Decade

Valma Harjutsalo

129 papers receiving 3.8k citations

Hit Papers

Time trends in the incidence of type 1 diabetes in Finnis...20082026201420202008100200300400

Peers

Valma Harjutsalo
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Genetics 1.3k
  • Surgery 923
  • Nephrology 645
  • Cardiology and Cardiovascular Medicine 639
Replace Johan Wadén with:
Johan Wadén Finland
M. Loredana Marcovecchio Italy
Thomas Danne Germany
G. Blohmé Sweden
Jane L. Chiang United States
Alper Sönmez Türkiye
W Grzeszczak Poland
Yu‐Bae Ahn South Korea
Yasufumi Doi Japan
Emanuela Orsi Italy
Valma Harjutsalo relative to Johan Wadén Finland Johan Wadén's profile →
Citations per field
00.5×3.2×
Johan Wadén · 1×
Citations per year

Countries citing papers authored by Valma Harjutsalo

Since Specialization
Citations

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

Fields of papers citing papers by Valma Harjutsalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valma Harjutsalo

This figure shows the co-authorship network connecting the top 25 collaborators of Valma Harjutsalo. A scholar is included among the top collaborators of Valma Harjutsalo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valma Harjutsalo. Valma Harjutsalo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 0
5 1
6 0
7 4
8 5
9 13
10 11
11 47
12 13
13 9
14 15
15
Waist-height ratio and waist circumference are the best estimators of visceral fat in type 1 diabetes independently of diabetic nephropathy
1
16 30
17 14
18 12
19
Physical Activity Reduces Risk of Premature Mortality in Patients With Type 1 Diabetes With and Without Kidney Disease
0
20 125

About Valma Harjutsalo

Valma Harjutsalo is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Genetics, having authored 137 papers that have together received 3.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (63 papers), Diabetes and associated disorders (37 papers) and Diabetes Treatment and Management (32 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Nephrology (645 citations) and Genetics (1.3k citations). Valma Harjutsalo has collaborated with scholars based in Finland, Australia and United States. Frequent co-authors include Per‐Henrik Groop, Carol Forsblom, Jaakko Tuomilehto, Lena Sjöberg, Lena M. Thorn, Daniel Gordin, Aila J. Ahola, Johan Wadén, Markku Saraheimo and Nina Tolonen. Their work appears in journals such as The Lancet, JAMA 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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