H. Yki-J�rvinen

893 total citations
12 papers, 728 citations indexed

About

H. Yki-J�rvinen is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, H. Yki-J�rvinen has authored 12 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in H. Yki-J�rvinen's work include Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes Management and Research (3 papers). H. Yki-J�rvinen is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes Management and Research (3 papers). H. Yki-J�rvinen collaborates with scholars based in Finland, Sweden and United States. H. Yki-J�rvinen's co-authors include Marjo Tamminen, Mirja Tiikkainen, Satu Vehkavaara, Jukka Westerbacka, Jonas Fredriksson, Veikko A Koivisto, Marja‐Riitta Taskinen, R. E. Bourey, László Korányi and Mike Mueckler and has published in prestigious journals such as Diabetologia, European Journal of Applied Physiology and Diabetes/Metabolism Research and Reviews.

In The Last Decade

H. Yki-J�rvinen

12 papers receiving 697 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H. Yki-J�rvinen Finland 11 331 266 239 191 141 12 728
M Uusitupa Finland 10 360 1.1× 162 0.6× 523 2.2× 197 1.0× 131 0.9× 16 1.1k
Ted A. Tobey United States 9 548 1.7× 239 0.9× 330 1.4× 192 1.0× 122 0.9× 9 857
Antonia Priego Spain 9 344 1.0× 185 0.7× 161 0.7× 142 0.7× 89 0.6× 22 766
M.M. Alberti United Kingdom 13 413 1.2× 89 0.3× 278 1.2× 144 0.8× 191 1.4× 20 826
Pier Marco Piatti Italy 18 230 0.7× 133 0.5× 314 1.3× 149 0.8× 132 0.9× 32 1.0k
V J Heiling United States 11 290 0.9× 95 0.4× 375 1.6× 117 0.6× 115 0.8× 13 677
M. Querena Italy 7 239 0.7× 98 0.4× 201 0.8× 133 0.7× 87 0.6× 15 545
Myron L shank United States 9 384 1.2× 226 0.8× 633 2.6× 322 1.7× 158 1.1× 10 1.1k
Beata Telejko Poland 19 239 0.7× 254 1.0× 222 0.9× 117 0.6× 149 1.1× 59 1.2k
U Butturini Italy 14 557 1.7× 161 0.6× 289 1.2× 252 1.3× 214 1.5× 81 975

Countries citing papers authored by H. Yki-J�rvinen

Since Specialization
Citations

This map shows the geographic impact of H. Yki-J�rvinen'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 H. Yki-J�rvinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Yki-J�rvinen more than expected).

Fields of papers citing papers by H. Yki-J�rvinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Yki-J�rvinen. 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 H. Yki-J�rvinen. The network helps show where H. Yki-J�rvinen may publish in the future.

Co-authorship network of co-authors of H. Yki-J�rvinen

This figure shows the co-authorship network connecting the top 25 collaborators of H. Yki-J�rvinen. A scholar is included among the top collaborators of H. Yki-J�rvinen 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 H. Yki-J�rvinen. H. Yki-J�rvinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
3.
Yki-J�rvinen, H.. (2002). Combination therapy with insulin and oral agents: optimizing glycemic control in patients with type 2 diabetes mellitus. Diabetes/Metabolism Research and Reviews. 18(S3). S77–S81. 32 indexed citations
4.
Taskinen, Marja‐Riitta, et al.. (1996). Insulin increases plasma leptin concentrations in normal subjects and patients with NIDDM. Diabetologia. 39(8). 993–996. 19 indexed citations
5.
Yki-J�rvinen, H.. (1995). Role of insulin resistance in the pathogenesis of NIDDM. Diabetologia. 38(12). 1378–1388. 99 indexed citations
6.
Yki-J�rvinen, H., et al.. (1994). Effect of insulin on GLUT-4 mRNA and protein concentrations in skeletal muscle of patients with NIDDM and their first-degree relatives. Diabetologia. 37(4). 401–407. 4 indexed citations
7.
Yki-J�rvinen, H., et al.. (1994). Effect of insulin on GLUT-4 mRNA and protein concentrations in skeletal muscle of patients with NIDDM and their first-degree relatives. Diabetologia. 37(4). 401–407. 32 indexed citations
8.
Korányi, László, R. E. Bourey, H. Vuorinen-Markkola, et al.. (1991). Level of skeletal muscle glucose transporter protein correlates with insulin-stimulated whole body glucose disposal in man. Diabetologia. 34(10). 763–765. 49 indexed citations
9.
Yki-J�rvinen, H.. (1990). Acute and chronic effects of hyperglycaemia on glucose metabolism. Diabetologia. 33(10). 579–585. 88 indexed citations
10.
Yki-J�rvinen, H., et al.. (1986). Assay of glucose transport in human fat cells obtained by needle biopsy. Diabetologia. 29(5). 287–290. 16 indexed citations
11.
Yki-J�rvinen, H., et al.. (1984). Glucose tolerance, plasma lipoproteins and tissue lipoprotein lipase activities in body builders. European Journal of Applied Physiology. 53(3). 253–259. 24 indexed citations
12.
Yki-J�rvinen, H., et al.. (1984). Response of adipose tissue lipoprotein lipase activity and serum lipoproteins to acute hyperinsulinaemia in man. Diabetologia. 27(3). 364–369. 50 indexed citations

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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