Anna Lahti

8 papers receiving 448 citations

Anna Lahti's Hit Papers

Model for long QT syndrome type 2 using human iPS cells demonstrates arrhythmogenic characteristics in cell culture 2011 · 242 citations
2420+5+10Years since publication50100150200

Peers

Anna Lahti
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 165
  • Cellular and Molecular Neuroscience 143
  • Aging 9
  • Molecular Biology 305
  • Biophysics 23
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B. De Jonge Netherlands
Ruian Yang China
Mirko Travaglia United States
Alexandra F. Bruce United Kingdom
Jérôme Montnach France
Elena C. Gianulis United States
Ara Arutunyan United States
Andrew M. Tucker United States
John Paul Glaves Canada
Venkatesh Hariharan United States
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Citations per field
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Citations per year

Countries citing papers authored by Anna Lahti

Since Specialization
Citations

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

Fields of papers citing papers by Anna Lahti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Model for long QT syndrome type 2 using human iPS cells demonstrates arrhythmogenic characteristics in cell culture
Hit paper breakdown →
2011242
2 2012106
3 201341
4 200335
5 200324
6 20188
7
Computer vision for human stem cell derived cardiomyocyte classification: The induced pluripotent vs embryonic stem cell case study
20112
8
The perceived impact of flexible working hours on work-life balance in the educational sector in Finland: a qualitative research study
20172

About Anna Lahti

Anna Lahti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, General Health Professions and Biophysics, having authored 8 papers that have together received 460 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cell Image Analysis Techniques (2 papers), Heat shock proteins research (1 paper), Digital Imaging for Blood Diseases (1 paper), Ion channel regulation and function (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Employment and Welfare Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (165 citations), Cellular and Molecular Neuroscience (143 citations), Aging (9 citations), Molecular Biology (305 citations) and Biophysics (23 citations). Anna Lahti has collaborated with scholars based in Finland, Italy and Japan. Frequent co-authors include Katriina Aalto‐Setälä, Kimmo Kontula, Olli Silvennoinen, Heikki Swan, Mari Pekkanen-Mattila, Jari Hyttinen, Bruce R. Conklin, Ville Kujala, Hugh Chapman and Shinya Yamanaka. Their work appears in journals such as Health Promotion International, Disease Models & Mechanisms, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Virology 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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