Vilma‐Lotta Lehtokari

2.4k citations
38 papers · 1.1k indexed · h-index 16
Topics
Cardiomyopathy and Myosin Studies (30 papers)Muscle Physiology and Disorders (17 papers)Neurogenetic and Muscular Disorders Research (8 papers)

In The Last Decade

Vilma‐Lotta Lehtokari

32 papers receiving 1.1k citations

Peers

Vilma‐Lotta Lehtokari
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 800
  • Molecular Biology 780
  • Genetics 363
  • Cell Biology 321
  • Genetics 131
Replace Hernán Gonorazky with:
Hernán Gonorazky Canada
Alexandre Méjat France
Teodora Chamova Bulgaria
Cecilia Lo United States
Jaya Punetha United States
Stephanie K. Mewborn United States
Jeffrey Murray United Kingdom
H Veenema Netherlands
Ashling Holland Ireland
Veronika Karcagi Hungary
Vilma‐Lotta Lehtokari relative to Hernán Gonorazky Canada Hernán Gonorazky's profile →
Citations per field
00.5×6.6×
Hernán Gonorazky · 1×
Citations per year

Countries citing papers authored by Vilma‐Lotta Lehtokari

Since Specialization
Citations

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

Fields of papers citing papers by Vilma‐Lotta Lehtokari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vilma‐Lotta Lehtokari. 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 Vilma‐Lotta Lehtokari. The network helps show where Vilma‐Lotta Lehtokari may publish in the future.

Co-authorship network of co-authors of Vilma‐Lotta Lehtokari

This figure shows the co-authorship network connecting the top 25 collaborators of Vilma‐Lotta Lehtokari. A scholar is included among the top collaborators of Vilma‐Lotta Lehtokari 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 Vilma‐Lotta Lehtokari. Vilma‐Lotta Lehtokari 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 0
2 0
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5 0
6 2
7 1
8 6
9 13
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11 11
12 11
13 22
14 21
15 45
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17 38
18 27
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20 168

About Vilma‐Lotta Lehtokari

Vilma‐Lotta Lehtokari is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Cell Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (30 papers), Muscle Physiology and Disorders (17 papers) and Neurogenetic and Muscular Disorders Research (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (800 citations), Genetics (363 citations) and Cell Biology (321 citations). Vilma‐Lotta Lehtokari has collaborated with scholars based in Finland, Australia and United States. Frequent co-authors include Carina Wallgren‐Pettersson, Katarina Pelin, Nigel G. Laing, Kati Donner, Alan H. Beggs, Maria Sandbacka, Caroline A. Sewry, K. Kiiski, Kinga K. Tomczak and Pankaj B. Agrawal. Their work appears in journals such as PLoS ONE, Brain and Neurology.

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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