Mart Kals

6.4k citations
57 papers · 1.4k · h-index 23

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases

Papers in

Mart Kals

55 papers receiving 1.3k citations

Peers

Mart Kals
Comparison fields: 5 of 109
  • Pharmacology 110
  • Genetics 327
  • Molecular Biology 431
  • Psychiatry and Mental health 83
  • Cardiology and Cardiovascular Medicine 108
Replace José Manuel Fragoso with:
José Manuel Fragoso Mexico
Rebecca Hein Germany
María Isidoro‐García Spain
Yogita Ghodke‐Puranik United States
José L. Gómez United States
Jennifer Huynh Australia
Keith A. Byron Australia
Bok‐Ghee Han South Korea
Léonello Cusan Canada
Rebecca L. Roberts New Zealand
Mart Kals relative to José Manuel Fragoso Mexico José Manuel Fragoso's profile →
Citations per field
00.5×1.5×2×2.4×
José Manuel Fragoso · 1×
Citations per year

Countries citing papers authored by Mart Kals

Since Specialization
Citations

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

Fields of papers citing papers by Mart Kals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017111
2 201498
3 200879
4 201875
5 201360
6 201352
7 201352
8 200650
9 201647
10 200844
11 200843
12 201333
13 201630
14 201429
15 202227
16 201327
17 201827
18 201727
19 201126
20 200926

About Mart Kals

Mart Kals is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Epigenetics and DNA Methylation (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Genomics and Rare Diseases (4 papers), RNA modifications and cancer (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Cancer-related gene regulation (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Pharmacology (110 citations), Genetics (327 citations), Molecular Biology (431 citations), Psychiatry and Mental health (83 citations) and Cardiology and Cardiovascular Medicine (108 citations). Mart Kals has collaborated with scholars based in Estonia, Finland and United States. Frequent co-authors include Andres Metspalu, Reedik Mägi, Lili A. Milani, Mihkel Zilmer, Kersti Zilmer, Jaak Kals, Anneli Uusküla, Priit Kampus, Tõnu Esko and Tiit Nikopensius. Their work appears in journals such as European Journal of Human Genetics, European Journal of Vascular and Endovascular Surgery, Journal of Dental Research, Scandinavian Journal of Surgery and The Journal of Headache and Pain.

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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