Eeva Leinonen

1.3k citations
19 papers · 980 · h-index 15

Impact in

Papers in

Eeva Leinonen

19 papers receiving 938 citations

Peers

Eeva Leinonen
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 423
  • Cardiology and Cardiovascular Medicine 258
  • Surgery 305
  • Cancer Research 90
  • Epidemiology 207
Replace Riadh Jemaa with:
Riadh Jemaa Tunisia
Min He China
Fabio Minicucci Italy
Gang Yuan China
Ikuyo Kusaka Japan
Norifumi Metoki Japan
Yingnan Zhao China
Teemu Kuulasmaa Finland
Christopher T. Chan Australia
Doreen Osgood United States
Eeva Leinonen relative to Riadh Jemaa Tunisia Riadh Jemaa's profile →
Citations per field
00.5×1.5×2.1×
Riadh Jemaa · 1×
Citations per year

Countries citing papers authored by Eeva Leinonen

Since Specialization
Citations

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

Fields of papers citing papers by Eeva Leinonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2003224
2 2009110
3 200575
4 200272
5 199568
6 200965
7 200464
8 200663
9 200752
10 200845
11 200543
12 200227
13 201023
14
WAYFINDING AID FOR THE ELDERLY WITH MEMORY DISTURBANCES
201116
15 200714
16 199413
17 20183
18 20072
19 20191

About Eeva Leinonen

Eeva Leinonen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Molecular Biology, having authored 19 papers that have together received 980 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiovascular Health and Disease Prevention (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (2 papers), Cardiovascular Function and Risk Factors (2 papers), Lipid metabolism and disorders (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (423 citations), Cardiology and Cardiovascular Medicine (258 citations), Surgery (305 citations), Cancer Research (90 citations) and Epidemiology (207 citations). Eeva Leinonen has collaborated with scholars based in Finland, Sweden and Australia. Frequent co-authors include Marja‐Riitta Taskinen, Anne Hiukka, Olov Wiklund, Eva Hurt‐Camejo, Riitta Salonen, Jukka T. Salonen, Jouko Sundvall, Jukka Westerbacka, H. Hilden and Matti Jauhiainen. Their work appears in journals such as Diabetologia, Diabetes Care, Journal of the Association for Information Systems, Diabetes and Atherosclerosis.

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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